[{"ddc":["519"],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2019-11-26T22:18:05Z","day":"01","status":"public","volume":20,"oa_version":"Published Version","doi":"10.3390/e20100755","publication":"Entropy","date_updated":"2021-01-12T08:11:56Z","keyword":["Minimum Description Length","normalized maximum likelihood","statistical criticality","phase transitions","large deviations"],"issue":"10","oa":1,"month":"10","intvolume":"        20","date_published":"2018-10-01T00:00:00Z","article_number":"755","year":"2018","license":"https://creativecommons.org/licenses/by/4.0/","_id":"7126","quality_controlled":"1","citation":{"ama":"Cubero RJ, Marsili M, Roudi Y. Minimum description length codes are critical. <i>Entropy</i>. 2018;20(10). doi:<a href=\"https://doi.org/10.3390/e20100755\">10.3390/e20100755</a>","ieee":"R. J. Cubero, M. Marsili, and Y. Roudi, “Minimum description length codes are critical,” <i>Entropy</i>, vol. 20, no. 10. MDPI, 2018.","ista":"Cubero RJ, Marsili M, Roudi Y. 2018. Minimum description length codes are critical. Entropy. 20(10), 755.","short":"R.J. Cubero, M. Marsili, Y. Roudi, Entropy 20 (2018).","chicago":"Cubero, Ryan J, Matteo Marsili, and Yasser Roudi. “Minimum Description Length Codes Are Critical.” <i>Entropy</i>. MDPI, 2018. <a href=\"https://doi.org/10.3390/e20100755\">https://doi.org/10.3390/e20100755</a>.","apa":"Cubero, R. J., Marsili, M., &#38; Roudi, Y. (2018). Minimum description length codes are critical. <i>Entropy</i>. MDPI. <a href=\"https://doi.org/10.3390/e20100755\">https://doi.org/10.3390/e20100755</a>","mla":"Cubero, Ryan J., et al. “Minimum Description Length Codes Are Critical.” <i>Entropy</i>, vol. 20, no. 10, 755, MDPI, 2018, doi:<a href=\"https://doi.org/10.3390/e20100755\">10.3390/e20100755</a>."},"publication_identifier":{"issn":["1099-4300"]},"extern":"1","type":"journal_article","file_date_updated":"2020-07-14T12:47:50Z","abstract":[{"lang":"eng","text":"In the Minimum Description Length (MDL) principle, learning from the data is equivalent to an optimal coding problem. We show that the codes that achieve optimal compression in MDL are critical in a very precise sense. First, when they are taken as generative models of samples, they generate samples with broad empirical distributions and with a high value of the relevance, defined as the entropy of the empirical frequencies. These results are derived for different statistical models (Dirichlet model, independent and pairwise dependent spin models, and restricted Boltzmann machines). Second, MDL codes sit precisely at a second order phase transition point where the symmetry between the sampled outcomes is spontaneously broken. The order parameter controlling the phase transition is the coding cost of the samples. The phase transition is a manifestation of the optimality of MDL codes, and it arises because codes that achieve a higher compression do not exist. These results suggest a clear interpretation of the widespread occurrence of statistical criticality as a characterization of samples which are maximally informative on the underlying generative process."}],"publication_status":"published","file":[{"creator":"rcubero","file_size":1366813,"content_type":"application/pdf","file_id":"7127","relation":"main_file","access_level":"open_access","checksum":"d642b7b661e1d5066b62e6ea9986b917","file_name":"entropy-20-00755-v2.pdf","date_updated":"2020-07-14T12:47:50Z","date_created":"2019-11-26T22:23:08Z"}],"title":"Minimum description length codes are critical","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"850B2E12-9CD4-11E9-837F-E719E6697425","first_name":"Ryan J","last_name":"Cubero","orcid":"0000-0003-0002-1867","full_name":"Cubero, Ryan J"},{"first_name":"Matteo","last_name":"Marsili","full_name":"Marsili, Matteo"},{"last_name":"Roudi","first_name":"Yasser","full_name":"Roudi, Yasser"}],"has_accepted_license":"1","publisher":"MDPI","language":[{"iso":"eng"}],"article_type":"original","article_processing_charge":"No"},{"pubrep_id":"1014","language":[{"iso":"eng"}],"publist_id":"6957","department":[{"_id":"NiBa"},{"_id":"CaGu"}],"article_processing_charge":"No","file":[{"date_created":"2018-12-12T10:08:14Z","date_updated":"2020-07-14T12:47:54Z","file_name":"IST-2018-1014-v1+1_2018_Paixao_Escape.pdf","relation":"main_file","access_level":"open_access","checksum":"7d92f5d7be81e387edeec4f06442791c","content_type":"application/pdf","file_id":"4674","file_size":691245,"creator":"system"}],"title":"How to escape local optima in black box optimisation when non elitism outperforms elitism","author":[{"full_name":"Oliveto, Pietro","first_name":"Pietro","last_name":"Oliveto"},{"full_name":"Paixao, Tiago","orcid":"0000-0003-2361-3953","last_name":"Paixao","first_name":"Tiago","id":"2C5658E6-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Pérez Heredia","first_name":"Jorge","full_name":"Pérez Heredia, Jorge"},{"full_name":"Sudholt, Dirk","last_name":"Sudholt","first_name":"Dirk"},{"last_name":"Trubenova","orcid":"0000-0002-6873-2967","id":"42302D54-F248-11E8-B48F-1D18A9856A87","first_name":"Barbora","full_name":"Trubenova, Barbora"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publisher":"Springer","has_accepted_license":"1","publication_status":"published","project":[{"grant_number":"618091","call_identifier":"FP7","_id":"25B1EC9E-B435-11E9-9278-68D0E5697425","name":"Speed of Adaptation in Population Genetics and Evolutionary Computation"}],"quality_controlled":"1","_id":"723","type":"journal_article","file_date_updated":"2020-07-14T12:47:54Z","scopus_import":"1","abstract":[{"text":"Escaping local optima is one of the major obstacles to function optimisation. Using the metaphor of a fitness landscape, local optima correspond to hills separated by fitness valleys that have to be overcome. We define a class of fitness valleys of tunable difficulty by considering their length, representing the Hamming path between the two optima and their depth, the drop in fitness. For this function class we present a runtime comparison between stochastic search algorithms using different search strategies. The (1+1) EA is a simple and well-studied evolutionary algorithm that has to jump across the valley to a point of higher fitness because it does not accept worsening moves (elitism). In contrast, the Metropolis algorithm and the Strong Selection Weak Mutation (SSWM) algorithm, a famous process in population genetics, are both able to cross the fitness valley by accepting worsening moves. We show that the runtime of the (1+1) EA depends critically on the length of the valley while the runtimes of the non-elitist algorithms depend crucially on the depth of the valley. Moreover, we show that both SSWM and Metropolis can also efficiently optimise a rugged function consisting of consecutive valleys.","lang":"eng"}],"citation":{"chicago":"Oliveto, Pietro, Tiago Paixao, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” <i>Algorithmica</i>. Springer, 2018. <a href=\"https://doi.org/10.1007/s00453-017-0369-2\">https://doi.org/10.1007/s00453-017-0369-2</a>.","ama":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. How to escape local optima in black box optimisation when non elitism outperforms elitism. <i>Algorithmica</i>. 2018;80(5):1604-1633. doi:<a href=\"https://doi.org/10.1007/s00453-017-0369-2\">10.1007/s00453-017-0369-2</a>","ista":"Oliveto P, Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2018. How to escape local optima in black box optimisation when non elitism outperforms elitism. Algorithmica. 80(5), 1604–1633.","ieee":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “How to escape local optima in black box optimisation when non elitism outperforms elitism,” <i>Algorithmica</i>, vol. 80, no. 5. Springer, pp. 1604–1633, 2018.","short":"P. Oliveto, T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 80 (2018) 1604–1633.","mla":"Oliveto, Pietro, et al. “How to Escape Local Optima in Black Box Optimisation When Non Elitism Outperforms Elitism.” <i>Algorithmica</i>, vol. 80, no. 5, Springer, 2018, pp. 1604–33, doi:<a href=\"https://doi.org/10.1007/s00453-017-0369-2\">10.1007/s00453-017-0369-2</a>.","apa":"Oliveto, P., Paixao, T., Pérez Heredia, J., Sudholt, D., &#38; Trubenova, B. (2018). How to escape local optima in black box optimisation when non elitism outperforms elitism. <i>Algorithmica</i>. Springer. <a href=\"https://doi.org/10.1007/s00453-017-0369-2\">https://doi.org/10.1007/s00453-017-0369-2</a>"},"year":"2018","external_id":{"isi":["000428239300010"]},"page":"1604 - 1633","issue":"5","oa":1,"date_updated":"2023-09-11T14:11:35Z","intvolume":"        80","month":"05","date_published":"2018-05-01T00:00:00Z","isi":1,"ec_funded":1,"oa_version":"Published Version","doi":"10.1007/s00453-017-0369-2","publication":"Algorithmica","day":"01","status":"public","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2018-12-11T11:48:09Z","ddc":["576"],"volume":80},{"page":"4863-4874","article_processing_charge":"No","year":"2018","article_type":"original","language":[{"iso":"eng"}],"publisher":"ACS","month":"09","intvolume":"         1","date_published":"2018-09-28T00:00:00Z","issue":"9","author":[{"full_name":"Costanzo, Tommaso","first_name":"Tommaso","id":"D93824F4-D9BA-11E9-BB12-F207E6697425","orcid":"0000-0001-9732-3815","last_name":"Costanzo"},{"full_name":"McCracken, John","first_name":"John","last_name":"McCracken"},{"full_name":"Rotaru, Aurelian","last_name":"Rotaru","first_name":"Aurelian"},{"last_name":"Caruntu","first_name":"Gabriel","full_name":"Caruntu, Gabriel"}],"title":"Quasi-monodisperse transition-metal-doped BaTiO3 (M = Cr, Mn, Fe, Co) colloidal nanocrystals with multiferroic properties","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2023-02-23T13:02:57Z","publication_status":"published","doi":"10.1021/acsanm.8b01036","publication":"ACS Applied Nano Materials","oa_version":"None","type":"journal_article","abstract":[{"text":"The recent demand of multifunctional materials and devices for advanced applications in energy conversion and data storage resulted into a revival of multiferroics, that is, materials characterized by the coexistence of ferromagnetism and ferroelectricity. Despite intense efforts made in the past decade, single-phase room temperature multiferroics are yet to be discovered/fabricated. Nanostructured ferroic materials could potentially exhibit multiferroism since a high fraction of their atoms/ions are superficial, thereby altering significantly the properties of the bulk phase. Alternately, a magnetic order can be induced into ferroelectric materials upon aliovalent doping with magnetic ions. Here, we report on the synthesis of aggregate-free single-phase transition-metal-doped BaTiO3 quasi-monodisperse cuboidal nanocrystals (NC) which exhibit multiferroic properties at room temperature and can be suitable for applications in data storage. The proposed synthetic route allows the inclusion of a high concentration of magnetic ions such as Mn+ (M = Cr, Mn, Fe, Co) up to a nominal concentration of 4% without the formation of any secondary phase. The size of the nanocrystals was controlled in a wide range from ∼15 up to ∼70 nm by varying the reaction time from 48 to 144 h. The presence of unpaired electrons and their magnetic ordering have been probed by electron paramagnetic resonance spectroscopy (EPR), and a vibrating sample magnetometer (VSM). Likewise, an acentric structure, associated with the existence of a dielectric polarization, was observed by lattice dynamics analysis and piezoresponse force microscopy (PFM). These results show that high-quality titanium-containing perovskite nanocrystals which display multiferroic properties at room temperature can be fabricated via soft solution-based synthetic routes, and the properties of these materials can be modulated by changing the size of the nanocrystals and the concentration of the dopant thereby opening the door to the design and study of single-phase multiferroic materials.","lang":"eng"}],"extern":"1","publication_identifier":{"issn":["2574-0970"]},"citation":{"chicago":"Costanzo, Tommaso, John McCracken, Aurelian Rotaru, and Gabriel Caruntu. “Quasi-Monodisperse Transition-Metal-Doped BaTiO3 (M = Cr, Mn, Fe, Co) Colloidal Nanocrystals with Multiferroic Properties.” <i>ACS Applied Nano Materials</i>. ACS, 2018. <a href=\"https://doi.org/10.1021/acsanm.8b01036\">https://doi.org/10.1021/acsanm.8b01036</a>.","ama":"Costanzo T, McCracken J, Rotaru A, Caruntu G. Quasi-monodisperse transition-metal-doped BaTiO3 (M = Cr, Mn, Fe, Co) colloidal nanocrystals with multiferroic properties. <i>ACS Applied Nano Materials</i>. 2018;1(9):4863-4874. doi:<a href=\"https://doi.org/10.1021/acsanm.8b01036\">10.1021/acsanm.8b01036</a>","short":"T. Costanzo, J. McCracken, A. Rotaru, G. Caruntu, ACS Applied Nano Materials 1 (2018) 4863–4874.","ieee":"T. Costanzo, J. McCracken, A. Rotaru, and G. Caruntu, “Quasi-monodisperse transition-metal-doped BaTiO3 (M = Cr, Mn, Fe, Co) colloidal nanocrystals with multiferroic properties,” <i>ACS Applied Nano Materials</i>, vol. 1, no. 9. ACS, pp. 4863–4874, 2018.","ista":"Costanzo T, McCracken J, Rotaru A, Caruntu G. 2018. Quasi-monodisperse transition-metal-doped BaTiO3 (M = Cr, Mn, Fe, Co) colloidal nanocrystals with multiferroic properties. ACS Applied Nano Materials. 1(9), 4863–4874.","mla":"Costanzo, Tommaso, et al. “Quasi-Monodisperse Transition-Metal-Doped BaTiO3 (M = Cr, Mn, Fe, Co) Colloidal Nanocrystals with Multiferroic Properties.” <i>ACS Applied Nano Materials</i>, vol. 1, no. 9, ACS, 2018, pp. 4863–74, doi:<a href=\"https://doi.org/10.1021/acsanm.8b01036\">10.1021/acsanm.8b01036</a>.","apa":"Costanzo, T., McCracken, J., Rotaru, A., &#38; Caruntu, G. (2018). Quasi-monodisperse transition-metal-doped BaTiO3 (M = Cr, Mn, Fe, Co) colloidal nanocrystals with multiferroic properties. <i>ACS Applied Nano Materials</i>. ACS. <a href=\"https://doi.org/10.1021/acsanm.8b01036\">https://doi.org/10.1021/acsanm.8b01036</a>"},"volume":1,"day":"28","quality_controlled":"1","status":"public","_id":"7271","date_created":"2020-01-13T21:58:27Z"},{"doi":"10.1002/anie.201802277","publication":"Angewandte Chemie International Edition","oa_version":"Published Version","volume":57,"day":"15","status":"public","ddc":["540"],"tmp":{"short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)"},"date_created":"2020-01-15T07:20:09Z","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","page":"5529-5533","year":"2018","intvolume":"        57","month":"03","date_published":"2018-03-15T00:00:00Z","issue":"19","oa":1,"date_updated":"2021-01-12T08:12:42Z","publication_status":"published","file_date_updated":"2020-07-14T12:47:55Z","type":"journal_article","abstract":[{"lang":"eng","text":"Solid alkali metal carbonates are universal passivation layer components of intercalation battery materials and common side products in metal‐O2 batteries, and are believed to form and decompose reversibly in metal‐O2/CO2 cells. In these cathodes, Li2CO3 decomposes to CO2 when exposed to potentials above 3.8 V vs. Li/Li+. However, O2 evolution, as would be expected according to the decomposition reaction 2 Li2CO3→4 Li++4 e−+2 CO2+O2, is not detected. O atoms are thus unaccounted for, which was previously ascribed to unidentified parasitic reactions. Here, we show that highly reactive singlet oxygen (1O2) forms upon oxidizing Li2CO3 in an aprotic electrolyte and therefore does not evolve as O2. These results have substantial implications for the long‐term cyclability of batteries: they underpin the importance of avoiding 1O2 in metal‐O2 batteries, question the possibility of a reversible metal‐O2/CO2 battery based on a carbonate discharge product, and help explain the interfacial reactivity of transition‐metal cathodes with residual Li2CO3."}],"citation":{"ieee":"N. Mahne, S. E. Renfrew, B. D. McCloskey, and S. A. Freunberger, “Electrochemical oxidation of Lithium Carbonate generates singlet oxygen,” <i>Angewandte Chemie International Edition</i>, vol. 57, no. 19. Wiley, pp. 5529–5533, 2018.","short":"N. Mahne, S.E. Renfrew, B.D. McCloskey, S.A. Freunberger, Angewandte Chemie International Edition 57 (2018) 5529–5533.","ista":"Mahne N, Renfrew SE, McCloskey BD, Freunberger SA. 2018. Electrochemical oxidation of Lithium Carbonate generates singlet oxygen. Angewandte Chemie International Edition. 57(19), 5529–5533.","ama":"Mahne N, Renfrew SE, McCloskey BD, Freunberger SA. Electrochemical oxidation of Lithium Carbonate generates singlet oxygen. <i>Angewandte Chemie International Edition</i>. 2018;57(19):5529-5533. doi:<a href=\"https://doi.org/10.1002/anie.201802277\">10.1002/anie.201802277</a>","chicago":"Mahne, Nika, Sara E. Renfrew, Bryan D. McCloskey, and Stefan Alexander Freunberger. “Electrochemical Oxidation of Lithium Carbonate Generates Singlet Oxygen.” <i>Angewandte Chemie International Edition</i>. Wiley, 2018. <a href=\"https://doi.org/10.1002/anie.201802277\">https://doi.org/10.1002/anie.201802277</a>.","apa":"Mahne, N., Renfrew, S. E., McCloskey, B. D., &#38; Freunberger, S. A. (2018). Electrochemical oxidation of Lithium Carbonate generates singlet oxygen. <i>Angewandte Chemie International Edition</i>. Wiley. <a href=\"https://doi.org/10.1002/anie.201802277\">https://doi.org/10.1002/anie.201802277</a>","mla":"Mahne, Nika, et al. “Electrochemical Oxidation of Lithium Carbonate Generates Singlet Oxygen.” <i>Angewandte Chemie International Edition</i>, vol. 57, no. 19, Wiley, 2018, pp. 5529–33, doi:<a href=\"https://doi.org/10.1002/anie.201802277\">10.1002/anie.201802277</a>."},"publication_identifier":{"issn":["1433-7851"]},"extern":"1","quality_controlled":"1","_id":"7277","article_processing_charge":"No","article_type":"original","language":[{"iso":"eng"}],"publisher":"Wiley","has_accepted_license":"1","file":[{"file_name":"2018_AngewChemie_Mahne.pdf","date_updated":"2020-07-14T12:47:55Z","date_created":"2020-01-22T16:28:31Z","file_id":"7357","content_type":"application/pdf","creator":"dernst","file_size":657963,"checksum":"45868d0adc2d13a506bb9a59eb4f409c","relation":"main_file","access_level":"open_access"}],"author":[{"first_name":"Nika","last_name":"Mahne","full_name":"Mahne, Nika"},{"last_name":"Renfrew","first_name":"Sara E.","full_name":"Renfrew, Sara E."},{"last_name":"McCloskey","first_name":"Bryan D.","full_name":"McCloskey, Bryan D."},{"last_name":"Freunberger","orcid":"0000-0003-2902-5319","first_name":"Stefan Alexander","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","full_name":"Freunberger, Stefan Alexander"}],"title":"Electrochemical oxidation of Lithium Carbonate generates singlet oxygen","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"author":[{"full_name":"Burian, Max","first_name":"Max","last_name":"Burian"},{"full_name":"Rigodanza, Francesco","last_name":"Rigodanza","first_name":"Francesco"},{"full_name":"Demitri, Nicola","first_name":"Nicola","last_name":"Demitri"},{"full_name":"D̵ord̵ević, Luka","first_name":"Luka","last_name":"D̵ord̵ević"},{"first_name":"Silvia","last_name":"Marchesan","full_name":"Marchesan, Silvia"},{"first_name":"Tereza","last_name":"Steinhartova","full_name":"Steinhartova, Tereza"},{"full_name":"Letofsky-Papst, Ilse","first_name":"Ilse","last_name":"Letofsky-Papst"},{"first_name":"Ivan","last_name":"Khalakhan","full_name":"Khalakhan, Ivan"},{"first_name":"Eléonore","last_name":"Mourad","full_name":"Mourad, Eléonore"},{"full_name":"Freunberger, Stefan Alexander","orcid":"0000-0003-2902-5319","last_name":"Freunberger","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","first_name":"Stefan Alexander"},{"first_name":"Heinz","last_name":"Amenitsch","full_name":"Amenitsch, Heinz"},{"first_name":"Maurizio","last_name":"Prato","full_name":"Prato, Maurizio"},{"first_name":"Zois","last_name":"Syrgiannis","full_name":"Syrgiannis, Zois"}],"title":"Inter-backbone charge transfer as prerequisite for long-range conductivity in perylene bisimide hydrogels","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"file_size":1333353,"creator":"sfreunbe","file_id":"8052","content_type":"application/pdf","checksum":"050f7f0ba5d845c5c71779ef14ad5ef3","relation":"main_file","access_level":"open_access","file_name":"Manuscript 20092017_subm.pdf","date_updated":"2020-07-14T12:47:55Z","date_created":"2020-06-29T14:56:40Z"}],"publisher":"ACS","has_accepted_license":"1","article_type":"original","language":[{"iso":"eng"}],"article_processing_charge":"No","quality_controlled":"1","_id":"7285","abstract":[{"text":"Hydrogelation, the self-assembly of molecules into soft, water-loaded networks, is one way to bridge the structural gap between single molecules and functional materials. The potential of hydrogels, such as those based on perylene bisimides, lies in their chemical, physical, optical, and electronic properties, which are governed by the supramolecular structure of the gel. However, the structural motifs and their precise role for long-range conductivity are yet to be explored. Here, we present a comprehensive structural picture of a perylene bisimide hydrogel, suggesting that its long-range conductivity is limited by charge transfer between electronic backbones. We reveal nanocrystalline ribbon-like structures as the electronic and structural backbone units between which charge transfer is mediated by polar solvent bridges. We exemplify this effect with sensing, where exposure to polar vapor enhances conductivity by 5 orders of magnitude, emphasizing the crucial role of the interplay between structural motif and surrounding medium for the rational design of devices based on nanocrystalline hydrogels.","lang":"eng"}],"type":"journal_article","file_date_updated":"2020-07-14T12:47:55Z","citation":{"mla":"Burian, Max, et al. “Inter-Backbone Charge Transfer as Prerequisite for Long-Range Conductivity in Perylene Bisimide Hydrogels.” <i>ACS Nano</i>, vol. 12, no. 6, ACS, 2018, pp. 5800–06, doi:<a href=\"https://doi.org/10.1021/acsnano.8b01689\">10.1021/acsnano.8b01689</a>.","apa":"Burian, M., Rigodanza, F., Demitri, N., D̵ord̵ević, L., Marchesan, S., Steinhartova, T., … Syrgiannis, Z. (2018). Inter-backbone charge transfer as prerequisite for long-range conductivity in perylene bisimide hydrogels. <i>ACS Nano</i>. ACS. <a href=\"https://doi.org/10.1021/acsnano.8b01689\">https://doi.org/10.1021/acsnano.8b01689</a>","chicago":"Burian, Max, Francesco Rigodanza, Nicola Demitri, Luka D̵ord̵ević, Silvia Marchesan, Tereza Steinhartova, Ilse Letofsky-Papst, et al. “Inter-Backbone Charge Transfer as Prerequisite for Long-Range Conductivity in Perylene Bisimide Hydrogels.” <i>ACS Nano</i>. ACS, 2018. <a href=\"https://doi.org/10.1021/acsnano.8b01689\">https://doi.org/10.1021/acsnano.8b01689</a>.","ieee":"M. Burian <i>et al.</i>, “Inter-backbone charge transfer as prerequisite for long-range conductivity in perylene bisimide hydrogels,” <i>ACS Nano</i>, vol. 12, no. 6. ACS, pp. 5800–5806, 2018.","short":"M. Burian, F. Rigodanza, N. Demitri, L. D̵ord̵ević, S. Marchesan, T. Steinhartova, I. Letofsky-Papst, I. Khalakhan, E. Mourad, S.A. Freunberger, H. Amenitsch, M. Prato, Z. Syrgiannis, ACS Nano 12 (2018) 5800–5806.","ista":"Burian M, Rigodanza F, Demitri N, D̵ord̵ević L, Marchesan S, Steinhartova T, Letofsky-Papst I, Khalakhan I, Mourad E, Freunberger SA, Amenitsch H, Prato M, Syrgiannis Z. 2018. Inter-backbone charge transfer as prerequisite for long-range conductivity in perylene bisimide hydrogels. ACS Nano. 12(6), 5800–5806.","ama":"Burian M, Rigodanza F, Demitri N, et al. Inter-backbone charge transfer as prerequisite for long-range conductivity in perylene bisimide hydrogels. <i>ACS Nano</i>. 2018;12(6):5800-5806. doi:<a href=\"https://doi.org/10.1021/acsnano.8b01689\">10.1021/acsnano.8b01689</a>"},"extern":"1","publication_identifier":{"issn":["1936-0851"]},"publication_status":"published","oa":1,"issue":"6","date_updated":"2021-01-12T08:12:46Z","date_published":"2018-06-05T00:00:00Z","month":"06","intvolume":"        12","year":"2018","page":"5800-5806","day":"05","status":"public","date_created":"2020-01-15T12:13:25Z","ddc":["540","541"],"volume":12,"oa_version":"Submitted Version","publication":"ACS Nano","doi":"10.1021/acsnano.8b01689"},{"language":[{"iso":"eng"}],"year":"2018","article_type":"original","page":"3338-3345","article_processing_charge":"No","date_updated":"2021-01-12T08:12:46Z","issue":"10","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Schafzahl, Lukas","last_name":"Schafzahl","first_name":"Lukas"},{"full_name":"Ehmann, Heike","last_name":"Ehmann","first_name":"Heike"},{"last_name":"Kriechbaum","first_name":"Manfred","full_name":"Kriechbaum, Manfred"},{"full_name":"Sattelkow, Jürgen","last_name":"Sattelkow","first_name":"Jürgen"},{"first_name":"Thomas","last_name":"Ganner","full_name":"Ganner, Thomas"},{"full_name":"Plank, Harald","first_name":"Harald","last_name":"Plank"},{"full_name":"Wilkening, Martin","last_name":"Wilkening","first_name":"Martin"},{"orcid":"0000-0003-2902-5319","last_name":"Freunberger","first_name":"Stefan Alexander","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","full_name":"Freunberger, Stefan Alexander"}],"title":"Long-chain Li and Na alkyl carbonates as solid electrolyte interphase components: Structure, ion transport, and mechanical properties","intvolume":"        30","month":"05","date_published":"2018-05-03T00:00:00Z","publisher":"ACS","oa_version":"None","doi":"10.1021/acs.chemmater.8b00750","publication_status":"published","publication":"Chemistry of Materials","_id":"7286","date_created":"2020-01-15T12:13:37Z","quality_controlled":"1","status":"public","day":"03","extern":"1","publication_identifier":{"eissn":["1520-5002"],"issn":["0897-4756"]},"citation":{"chicago":"Schafzahl, Lukas, Heike Ehmann, Manfred Kriechbaum, Jürgen Sattelkow, Thomas Ganner, Harald Plank, Martin Wilkening, and Stefan Alexander Freunberger. “Long-Chain Li and Na Alkyl Carbonates as Solid Electrolyte Interphase Components: Structure, Ion Transport, and Mechanical Properties.” <i>Chemistry of Materials</i>. ACS, 2018. <a href=\"https://doi.org/10.1021/acs.chemmater.8b00750\">https://doi.org/10.1021/acs.chemmater.8b00750</a>.","ama":"Schafzahl L, Ehmann H, Kriechbaum M, et al. Long-chain Li and Na alkyl carbonates as solid electrolyte interphase components: Structure, ion transport, and mechanical properties. <i>Chemistry of Materials</i>. 2018;30(10):3338-3345. doi:<a href=\"https://doi.org/10.1021/acs.chemmater.8b00750\">10.1021/acs.chemmater.8b00750</a>","short":"L. Schafzahl, H. Ehmann, M. Kriechbaum, J. Sattelkow, T. Ganner, H. Plank, M. Wilkening, S.A. Freunberger, Chemistry of Materials 30 (2018) 3338–3345.","ieee":"L. Schafzahl <i>et al.</i>, “Long-chain Li and Na alkyl carbonates as solid electrolyte interphase components: Structure, ion transport, and mechanical properties,” <i>Chemistry of Materials</i>, vol. 30, no. 10. ACS, pp. 3338–3345, 2018.","ista":"Schafzahl L, Ehmann H, Kriechbaum M, Sattelkow J, Ganner T, Plank H, Wilkening M, Freunberger SA. 2018. Long-chain Li and Na alkyl carbonates as solid electrolyte interphase components: Structure, ion transport, and mechanical properties. Chemistry of Materials. 30(10), 3338–3345.","mla":"Schafzahl, Lukas, et al. “Long-Chain Li and Na Alkyl Carbonates as Solid Electrolyte Interphase Components: Structure, Ion Transport, and Mechanical Properties.” <i>Chemistry of Materials</i>, vol. 30, no. 10, ACS, 2018, pp. 3338–45, doi:<a href=\"https://doi.org/10.1021/acs.chemmater.8b00750\">10.1021/acs.chemmater.8b00750</a>.","apa":"Schafzahl, L., Ehmann, H., Kriechbaum, M., Sattelkow, J., Ganner, T., Plank, H., … Freunberger, S. A. (2018). Long-chain Li and Na alkyl carbonates as solid electrolyte interphase components: Structure, ion transport, and mechanical properties. <i>Chemistry of Materials</i>. ACS. <a href=\"https://doi.org/10.1021/acs.chemmater.8b00750\">https://doi.org/10.1021/acs.chemmater.8b00750</a>"},"volume":30,"type":"journal_article","abstract":[{"text":"The solid electrolyte interphase (SEI) in Li and Na ion batteries forms when highly reducing or oxidizing electrode materials come into contact with a liquid organic electrolyte. Its ability to form a mechanically robust, ion-conducting, and electron-insulating layer critically determines performance, cycle life, and safety. Li or Na alkyl carbonates (LiAC and NaAC, respectively) are lead SEI components in state-of-the-art carbonate based electrolytes, and our fundamental understanding of their charge transport and mechanical properties may hold the key to designing electrolytes forming an improved SEI. We synthesized a homologous series of LiACs and NaACs from methyl to octyl analogues and characterized them with respect to structure, ionic conductivity, and stiffness. The compounds assume layered structures except for the lithium methyl carbonate. Room-temperature conductivities were found to be ∼10–9 S cm–1 for lithium methyl carbonate, <10–12 S cm–1 for the other LiACs, and <10–12 S cm–1 for the NaACs with ion transport mostly attributed to grain boundaries. While LiACs show stiffnesses of ∼1 GPa, NaACs become significantly softer with increasing chain lengths. These findings will help to more precisely interpret the complex results from charge transport and mechanical characterization of real SEIs and can give a rationale for influencing the SEI’s mechanical properties via the electrolyte.","lang":"eng"}]},{"publication":"ACS Energy Letters","doi":"10.1021/acsenergylett.7b01111","oa_version":"Submitted Version","volume":3,"date_created":"2020-01-15T12:13:52Z","ddc":["540","543","546","547"],"status":"public","day":"01","page":"170-176","year":"2018","date_published":"2018-01-01T00:00:00Z","month":"01","intvolume":"         3","date_updated":"2021-01-12T08:12:46Z","oa":1,"issue":"1","publication_status":"published","extern":"1","citation":{"mla":"Schafzahl, Bettina, et al. “Quantifying Total Superoxide, Peroxide, and Carbonaceous Compounds in Metal–O2 Batteries and the Solid Electrolyte Interphase.” <i>ACS Energy Letters</i>, vol. 3, no. 1, ACS, 2018, pp. 170–76, doi:<a href=\"https://doi.org/10.1021/acsenergylett.7b01111\">10.1021/acsenergylett.7b01111</a>.","apa":"Schafzahl, B., Mourad, E., Schafzahl, L., Petit, Y. K., Raju, A. R., Thotiyl, M. O., … Freunberger, S. A. (2018). Quantifying total superoxide, peroxide, and carbonaceous compounds in metal–O2 batteries and the solid electrolyte interphase. <i>ACS Energy Letters</i>. ACS. <a href=\"https://doi.org/10.1021/acsenergylett.7b01111\">https://doi.org/10.1021/acsenergylett.7b01111</a>","chicago":"Schafzahl, Bettina, Eléonore Mourad, Lukas Schafzahl, Yann K. Petit, Anjana R. Raju, Musthafa Ottakam Thotiyl, Martin Wilkening, Christian Slugovc, and Stefan Alexander Freunberger. “Quantifying Total Superoxide, Peroxide, and Carbonaceous Compounds in Metal–O2 Batteries and the Solid Electrolyte Interphase.” <i>ACS Energy Letters</i>. ACS, 2018. <a href=\"https://doi.org/10.1021/acsenergylett.7b01111\">https://doi.org/10.1021/acsenergylett.7b01111</a>.","short":"B. Schafzahl, E. Mourad, L. Schafzahl, Y.K. Petit, A.R. Raju, M.O. Thotiyl, M. Wilkening, C. Slugovc, S.A. Freunberger, ACS Energy Letters 3 (2018) 170–176.","ista":"Schafzahl B, Mourad E, Schafzahl L, Petit YK, Raju AR, Thotiyl MO, Wilkening M, Slugovc C, Freunberger SA. 2018. Quantifying total superoxide, peroxide, and carbonaceous compounds in metal–O2 batteries and the solid electrolyte interphase. ACS Energy Letters. 3(1), 170–176.","ieee":"B. Schafzahl <i>et al.</i>, “Quantifying total superoxide, peroxide, and carbonaceous compounds in metal–O2 batteries and the solid electrolyte interphase,” <i>ACS Energy Letters</i>, vol. 3, no. 1. ACS, pp. 170–176, 2018.","ama":"Schafzahl B, Mourad E, Schafzahl L, et al. Quantifying total superoxide, peroxide, and carbonaceous compounds in metal–O2 batteries and the solid electrolyte interphase. <i>ACS Energy Letters</i>. 2018;3(1):170-176. doi:<a href=\"https://doi.org/10.1021/acsenergylett.7b01111\">10.1021/acsenergylett.7b01111</a>"},"publication_identifier":{"issn":["2380-8195","2380-8195"]},"abstract":[{"lang":"eng","text":"Passivation layers on electrode materials are ubiquitous in nonaqueous battery chemistries and strongly govern performance and lifetime. They comprise breakdown products of the electrolyte including carbonate, alkyl carbonates, alkoxides, carboxylates, and polymers. Parasitic chemistry in metal–O2 batteries forms similar products and is tied to the deviation of the O2 balance from the ideal stoichiometry during formation/decomposition of alkaline peroxides or superoxides. Accurate and integral quantification of carbonaceous species and peroxides or superoxides in battery electrodes remains, however, elusive. We present a refined procedure to quantify them accurately and sensitively by pointing out and rectifying pitfalls of previous procedures. Carbonaceous compounds are differentiated into inorganic and organic ones. We combine mass and UV–vis spectrometry to quantify evolved O2 and complexed peroxide and CO2 evolved from carbonaceous compounds by acid treatment and Fenton’s reaction. The capabilities of the method are exemplified by means of Li–O2 and Na–O2 cathodes, graphite anodes, and LiNi0.8Co0.15Al0.05O2 cathodes."}],"type":"journal_article","file_date_updated":"2020-07-14T12:47:55Z","_id":"7287","quality_controlled":"1","article_processing_charge":"No","language":[{"iso":"eng"}],"article_type":"letter_note","has_accepted_license":"1","publisher":"ACS","author":[{"first_name":"Bettina","last_name":"Schafzahl","full_name":"Schafzahl, Bettina"},{"full_name":"Mourad, Eléonore","first_name":"Eléonore","last_name":"Mourad"},{"full_name":"Schafzahl, Lukas","last_name":"Schafzahl","first_name":"Lukas"},{"full_name":"Petit, Yann K.","first_name":"Yann K.","last_name":"Petit"},{"first_name":"Anjana R.","last_name":"Raju","full_name":"Raju, Anjana R."},{"last_name":"Thotiyl","first_name":"Musthafa Ottakam","full_name":"Thotiyl, Musthafa Ottakam"},{"full_name":"Wilkening, Martin","first_name":"Martin","last_name":"Wilkening"},{"full_name":"Slugovc, Christian","last_name":"Slugovc","first_name":"Christian"},{"last_name":"Freunberger","orcid":"0000-0003-2902-5319","id":"A8CA28E6-CE23-11E9-AD2D-EC27E6697425","first_name":"Stefan Alexander","full_name":"Freunberger, Stefan Alexander"}],"title":"Quantifying total superoxide, peroxide, and carbonaceous compounds in metal–O2 batteries and the solid electrolyte interphase","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"file_name":"O2 TIOC_fin_incl_SI.pdf","date_updated":"2020-07-14T12:47:55Z","date_created":"2020-06-29T14:19:36Z","file_size":1892355,"creator":"sfreunbe","content_type":"application/pdf","file_id":"8049","access_level":"open_access","checksum":"461ccf575ba077af90314fe72d20521e","relation":"main_file"}]},{"date_updated":"2023-09-27T12:52:38Z","oa":1,"issue":"1","date_published":"2018-01-01T00:00:00Z","month":"01","intvolume":"        54","year":"2018","external_id":{"isi":["000419955500006"]},"page":"166 - 207","ddc":["000"],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2018-12-11T11:48:14Z","status":"public","day":"01","volume":54,"related_material":{"record":[{"id":"2820","relation":"earlier_version","status":"public"}]},"oa_version":"Published Version","ec_funded":1,"isi":1,"publication":"Real-Time Systems","doi":"10.1007/s11241-017-9293-4","title":"Automated competitive analysis of real time scheduling with graph games","author":[{"last_name":"Chatterjee","orcid":"0000-0002-4561-241X","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","first_name":"Krishnendu","full_name":"Chatterjee, Krishnendu"},{"first_name":"Andreas","id":"49704004-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-8943-0722","last_name":"Pavlogiannis","full_name":"Pavlogiannis, Andreas"},{"first_name":"Alexander","last_name":"Kößler","full_name":"Kößler, Alexander"},{"last_name":"Schmid","first_name":"Ulrich","full_name":"Schmid, Ulrich"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","file":[{"date_created":"2018-12-12T10:17:14Z","date_updated":"2020-07-14T12:47:56Z","file_name":"IST-2018-960-v1+1_2017_Chatterjee_Automated_competetive.pdf","relation":"main_file","access_level":"open_access","checksum":"c2590ef160709d8054cf29ee173f1454","file_id":"5267","content_type":"application/pdf","file_size":1163507,"creator":"system"}],"has_accepted_license":"1","publisher":"Springer","language":[{"iso":"eng"}],"pubrep_id":"960","article_processing_charge":"No","department":[{"_id":"KrCh"}],"publist_id":"6929","_id":"738","quality_controlled":"1","citation":{"apa":"Chatterjee, K., Pavlogiannis, A., Kößler, A., &#38; Schmid, U. (2018). Automated competitive analysis of real time scheduling with graph games. <i>Real-Time Systems</i>. Springer. <a href=\"https://doi.org/10.1007/s11241-017-9293-4\">https://doi.org/10.1007/s11241-017-9293-4</a>","mla":"Chatterjee, Krishnendu, et al. “Automated Competitive Analysis of Real Time Scheduling with Graph Games.” <i>Real-Time Systems</i>, vol. 54, no. 1, Springer, 2018, pp. 166–207, doi:<a href=\"https://doi.org/10.1007/s11241-017-9293-4\">10.1007/s11241-017-9293-4</a>.","short":"K. Chatterjee, A. Pavlogiannis, A. Kößler, U. Schmid, Real-Time Systems 54 (2018) 166–207.","ista":"Chatterjee K, Pavlogiannis A, Kößler A, Schmid U. 2018. Automated competitive analysis of real time scheduling with graph games. Real-Time Systems. 54(1), 166–207.","ieee":"K. Chatterjee, A. Pavlogiannis, A. Kößler, and U. Schmid, “Automated competitive analysis of real time scheduling with graph games,” <i>Real-Time Systems</i>, vol. 54, no. 1. Springer, pp. 166–207, 2018.","ama":"Chatterjee K, Pavlogiannis A, Kößler A, Schmid U. Automated competitive analysis of real time scheduling with graph games. <i>Real-Time Systems</i>. 2018;54(1):166-207. doi:<a href=\"https://doi.org/10.1007/s11241-017-9293-4\">10.1007/s11241-017-9293-4</a>","chicago":"Chatterjee, Krishnendu, Andreas Pavlogiannis, Alexander Kößler, and Ulrich Schmid. “Automated Competitive Analysis of Real Time Scheduling with Graph Games.” <i>Real-Time Systems</i>. Springer, 2018. <a href=\"https://doi.org/10.1007/s11241-017-9293-4\">https://doi.org/10.1007/s11241-017-9293-4</a>."},"scopus_import":"1","abstract":[{"text":"This paper is devoted to automatic competitive analysis of real-time scheduling algorithms for firm-deadline tasksets, where only completed tasks con- tribute some utility to the system. Given such a taskset T , the competitive ratio of an on-line scheduling algorithm A for T is the worst-case utility ratio of A over the utility achieved by a clairvoyant algorithm. We leverage the theory of quantitative graph games to address the competitive analysis and competitive synthesis problems. For the competitive analysis case, given any taskset T and any finite-memory on- line scheduling algorithm A , we show that the competitive ratio of A in T can be computed in polynomial time in the size of the state space of A . Our approach is flexible as it also provides ways to model meaningful constraints on the released task sequences that determine the competitive ratio. We provide an experimental study of many well-known on-line scheduling algorithms, which demonstrates the feasibility of our competitive analysis approach that effectively replaces human ingenuity (required Preliminary versions of this paper have appeared in Chatterjee et al. ( 2013 , 2014 ). B Andreas Pavlogiannis pavlogiannis@ist.ac.at Krishnendu Chatterjee krish.chat@ist.ac.at Alexander Kößler koe@ecs.tuwien.ac.at Ulrich Schmid s@ecs.tuwien.ac.at 1 IST Austria (Institute of Science and Technology Austria), Am Campus 1, 3400 Klosterneuburg, Austria 2 Embedded Computing Systems Group, Vienna University of Technology, Treitlstrasse 3, 1040 Vienna, Austria 123 Real-Time Syst for finding worst-case scenarios) by computing power. For the competitive synthesis case, we are just given a taskset T , and the goal is to automatically synthesize an opti- mal on-line scheduling algorithm A , i.e., one that guarantees the largest competitive ratio possible for T . We show how the competitive synthesis problem can be reduced to a two-player graph game with partial information, and establish that the compu- tational complexity of solving this game is Np -complete. The competitive synthesis problem is hence in Np in the size of the state space of the non-deterministic labeled transition system encoding the taskset. Overall, the proposed framework assists in the selection of suitable scheduling algorithms for a given taskset, which is in fact the most common situation in real-time systems design. ","lang":"eng"}],"file_date_updated":"2020-07-14T12:47:56Z","type":"journal_article","project":[{"name":"Rigorous Systems Engineering","_id":"25832EC2-B435-11E9-9278-68D0E5697425","grant_number":"S 11407_N23","call_identifier":"FWF"},{"name":"Game Theory","_id":"25863FF4-B435-11E9-9278-68D0E5697425","grant_number":"S11407","call_identifier":"FWF"},{"name":"Modern Graph Algorithmic Techniques in Formal Verification","_id":"2584A770-B435-11E9-9278-68D0E5697425","grant_number":"P 23499-N23","call_identifier":"FWF"},{"call_identifier":"FP7","grant_number":"279307","name":"Quantitative Graph Games: Theory and Applications","_id":"2581B60A-B435-11E9-9278-68D0E5697425"},{"_id":"2587B514-B435-11E9-9278-68D0E5697425","name":"Microsoft Research Faculty Fellowship"}],"publication_status":"published"},{"publication_status":"published","project":[{"grant_number":"682815","call_identifier":"H2020","_id":"258AA5B2-B435-11E9-9278-68D0E5697425","name":"Teaching Old Crypto New Tricks"}],"quality_controlled":"1","_id":"7407","scopus_import":1,"abstract":[{"lang":"eng","text":"Proofs of space (PoS) [Dziembowski et al., CRYPTO'15] are proof systems where a prover can convince a verifier that he \"wastes\" disk space. PoS were introduced as a more ecological and economical replacement for proofs of work which are currently used to secure blockchains like Bitcoin. In this work we investigate extensions of PoS which allow the prover to embed useful data into the dedicated space, which later can be recovered. Our first contribution is a security proof for the original PoS from CRYPTO'15 in the random oracle model (the original proof only applied to a restricted class of adversaries which can store a subset of the data an honest prover would store). When this PoS is instantiated with recent constructions of maximally depth robust graphs, our proof implies basically optimal security. As a second contribution we show three different extensions of this PoS where useful data can be embedded into the space required by the prover. Our security proof for the PoS extends (non-trivially) to these constructions. We discuss how some of these variants can be used as proofs of catalytic space (PoCS), a notion we put forward in this work, and which basically is a PoS where most of the space required by the prover can be used to backup useful data. Finally we discuss how one of the extensions is a candidate construction for a proof of replication (PoR), a proof system recently suggested in the Filecoin whitepaper. "}],"file_date_updated":"2020-07-14T12:47:57Z","type":"conference","citation":{"apa":"Pietrzak, K. Z. (2018). Proofs of catalytic space. In <i>10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)</i> (Vol. 124, p. 59:1-59:25). San Diego, CA, United States: Schloss Dagstuhl - Leibniz-Zentrum für Informatik. <a href=\"https://doi.org/10.4230/LIPICS.ITCS.2019.59\">https://doi.org/10.4230/LIPICS.ITCS.2019.59</a>","mla":"Pietrzak, Krzysztof Z. “Proofs of Catalytic Space.” <i>10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)</i>, vol. 124, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 59:1-59:25, doi:<a href=\"https://doi.org/10.4230/LIPICS.ITCS.2019.59\">10.4230/LIPICS.ITCS.2019.59</a>.","ama":"Pietrzak KZ. Proofs of catalytic space. In: <i>10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)</i>. Vol 124. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2018:59:1-59:25. doi:<a href=\"https://doi.org/10.4230/LIPICS.ITCS.2019.59\">10.4230/LIPICS.ITCS.2019.59</a>","ista":"Pietrzak KZ. 2018. Proofs of catalytic space. 10th Innovations in Theoretical Computer Science  Conference (ITCS 2019). ITCS: Innovations in theoretical Computer Science Conference, LIPIcs, vol. 124, 59:1-59:25.","short":"K.Z. Pietrzak, in:, 10th Innovations in Theoretical Computer Science  Conference (ITCS 2019), Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018, p. 59:1-59:25.","ieee":"K. Z. Pietrzak, “Proofs of catalytic space,” in <i>10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)</i>, San Diego, CA, United States, 2018, vol. 124, p. 59:1-59:25.","chicago":"Pietrzak, Krzysztof Z. “Proofs of Catalytic Space.” In <i>10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)</i>, 124:59:1-59:25. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2018. <a href=\"https://doi.org/10.4230/LIPICS.ITCS.2019.59\">https://doi.org/10.4230/LIPICS.ITCS.2019.59</a>."},"publication_identifier":{"issn":["1868-8969"],"isbn":["978-3-95977-095-8"]},"language":[{"iso":"eng"}],"department":[{"_id":"KrPi"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","first_name":"Krzysztof Z","last_name":"Pietrzak","orcid":"0000-0002-9139-1654","full_name":"Pietrzak, Krzysztof Z"}],"title":"Proofs of catalytic space","file":[{"file_name":"2018_LIPIcs_Pietrzak.pdf","date_updated":"2020-07-14T12:47:57Z","date_created":"2020-02-04T08:17:52Z","creator":"dernst","file_size":822884,"content_type":"application/pdf","file_id":"7443","access_level":"open_access","relation":"main_file","checksum":"5cebb7f7849a3beda898f697d755dd96"}],"publisher":"Schloss Dagstuhl - Leibniz-Zentrum für Informatik","has_accepted_license":"1","oa_version":"Published Version","ec_funded":1,"publication":"10th Innovations in Theoretical Computer Science  Conference (ITCS 2019)","main_file_link":[{"url":"https://eprint.iacr.org/2018/194","open_access":"1"}],"doi":"10.4230/LIPICS.ITCS.2019.59","status":"public","day":"31","ddc":["000"],"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2020-01-30T09:16:05Z","volume":124,"year":"2018","conference":{"name":"ITCS: Innovations in theoretical Computer Science Conference","end_date":"2019-01-12","start_date":"2019-01-10","location":"San Diego, CA, United States"},"page":"59:1-59:25","oa":1,"date_updated":"2021-01-12T08:13:26Z","alternative_title":["LIPIcs"],"date_published":"2018-12-31T00:00:00Z","month":"12","intvolume":"       124"},{"issue":"1","oa":1,"date_updated":"2023-09-27T12:29:57Z","month":"08","intvolume":"       195","date_published":"2018-08-01T00:00:00Z","year":"2018","page":"307–317","external_id":{"isi":["000437122700017"]},"status":"public","day":"01","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2018-12-11T11:48:16Z","ddc":["514","516"],"volume":195,"isi":1,"oa_version":"Published Version","related_material":{"record":[{"status":"public","relation":"earlier_version","id":"1378"}]},"doi":"10.1007/s10711-017-0291-4","publication":"Geometriae Dedicata","file":[{"access_level":"open_access","checksum":"d2f70fc132156504aa4c626aa378a7ab","relation":"main_file","file_size":412486,"creator":"kschuh","file_id":"5835","content_type":"application/pdf","date_updated":"2020-07-14T12:47:58Z","date_created":"2019-01-15T13:44:05Z","file_name":"s10711-017-0291-4.pdf"}],"title":"On expansion and topological overlap","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","author":[{"last_name":"Dotterrer","first_name":"Dominic","full_name":"Dotterrer, Dominic"},{"full_name":"Kaufman, Tali","last_name":"Kaufman","first_name":"Tali"},{"last_name":"Wagner","orcid":"0000-0002-1494-0568","first_name":"Uli","id":"36690CA2-F248-11E8-B48F-1D18A9856A87","full_name":"Wagner, Uli"}],"publisher":"Springer","has_accepted_license":"1","pubrep_id":"912","language":[{"iso":"eng"}],"publist_id":"6925","department":[{"_id":"UlWa"}],"article_processing_charge":"Yes (via OA deal)","quality_controlled":"1","_id":"742","type":"journal_article","file_date_updated":"2020-07-14T12:47:58Z","abstract":[{"lang":"eng","text":"We give a detailed and easily accessible proof of Gromov’s Topological Overlap Theorem. Let X be a finite simplicial complex or, more generally, a finite polyhedral cell complex of dimension d. Informally, the theorem states that if X has sufficiently strong higher-dimensional expansion properties (which generalize edge expansion of graphs and are defined in terms of cellular cochains of X) then X has the following topological overlap property: for every continuous map (Formula presented.) there exists a point (Formula presented.) that is contained in the images of a positive fraction (Formula presented.) of the d-cells of X. More generally, the conclusion holds if (Formula presented.) is replaced by any d-dimensional piecewise-linear manifold M, with a constant (Formula presented.) that depends only on d and on the expansion properties of X, but not on M."}],"scopus_import":"1","citation":{"chicago":"Dotterrer, Dominic, Tali Kaufman, and Uli Wagner. “On Expansion and Topological Overlap.” <i>Geometriae Dedicata</i>. Springer, 2018. <a href=\"https://doi.org/10.1007/s10711-017-0291-4\">https://doi.org/10.1007/s10711-017-0291-4</a>.","short":"D. Dotterrer, T. Kaufman, U. Wagner, Geometriae Dedicata 195 (2018) 307–317.","ieee":"D. Dotterrer, T. Kaufman, and U. Wagner, “On expansion and topological overlap,” <i>Geometriae Dedicata</i>, vol. 195, no. 1. Springer, pp. 307–317, 2018.","ista":"Dotterrer D, Kaufman T, Wagner U. 2018. On expansion and topological overlap. Geometriae Dedicata. 195(1), 307–317.","ama":"Dotterrer D, Kaufman T, Wagner U. On expansion and topological overlap. <i>Geometriae Dedicata</i>. 2018;195(1):307–317. doi:<a href=\"https://doi.org/10.1007/s10711-017-0291-4\">10.1007/s10711-017-0291-4</a>","mla":"Dotterrer, Dominic, et al. “On Expansion and Topological Overlap.” <i>Geometriae Dedicata</i>, vol. 195, no. 1, Springer, 2018, pp. 307–317, doi:<a href=\"https://doi.org/10.1007/s10711-017-0291-4\">10.1007/s10711-017-0291-4</a>.","apa":"Dotterrer, D., Kaufman, T., &#38; Wagner, U. (2018). On expansion and topological overlap. <i>Geometriae Dedicata</i>. Springer. <a href=\"https://doi.org/10.1007/s10711-017-0291-4\">https://doi.org/10.1007/s10711-017-0291-4</a>"},"publication_status":"published","project":[{"grant_number":"PP00P2_138948","_id":"25FA3206-B435-11E9-9278-68D0E5697425","name":"Embeddings in Higher Dimensions: Algorithms and Combinatorics"}]},{"day":"10","status":"public","quality_controlled":"1","date_created":"2020-02-05T14:18:22Z","_id":"7458","type":"journal_article","abstract":[{"lang":"eng","text":"The coupling between magnetic and electric subsystems in composites of ferromagnetic and ferroelectric phases is a product property that is facilitated by mechanical strain that arises due to magnetostriction and the piezoelectric effect in the constituent phases. Such multiferroic composites are of immense interests for studies on the physics of electromagnetic coupling and for use in a variety of applications. Here, we focus on magneto-electric (ME) coupling in nanocomposites. Particular emphasis is on core-shell particles and coaxial fibers, thin film heterostructures, and planar structures with a variety of mechanical connectivity. A brief review of models that predict strong ME effects in nanostructures is followed by synthesis and characterization. Core-shell particulate composites can be prepared by hydrothermal processes and chemical or deoxyribonucleic acid-assisted assembly. Electrospinning techniques have been utilized to prepare defect free core-shell nanofibers. Core-shell particles and fibers can be assembled into superstructures with the aid of magnetic and electric fields and characterized for possible use in advanced technologies. Chemical-vapor deposition techniques have been shown to be effective for the preparation of heterostructures of ferrites and ferroelectrics. Exotic planar multiferroic structures with potential for enhancing ME coupling strengths are also considered. Scanning probe microscopy techniques are ideal for probing the nature of direct- and converse-ME coupling in individual nanostructures. Magnetoelectric characterization of assemblies of nanocomposites can be done by ME voltage coefficient, magnetic field induced polarization, and magneto-dielectric effects. We conclude with a brief discussion on possible avenues for strengthening the product properties in the nanocomposites."}],"extern":"1","citation":{"apa":"Viehland, D., Li, J. F., Yang, Y., Costanzo, T., Yourdkhani, A., Caruntu, G., … Srinivasan, G. (2018). Tutorial: Product properties in multiferroic nanocomposites. <i>Journal of Applied Physics</i>. AIP. <a href=\"https://doi.org/10.1063/1.5038726\">https://doi.org/10.1063/1.5038726</a>","mla":"Viehland, Dwight, et al. “Tutorial: Product Properties in Multiferroic Nanocomposites.” <i>Journal of Applied Physics</i>, vol. 124, no. 6, 061101, AIP, 2018, doi:<a href=\"https://doi.org/10.1063/1.5038726\">10.1063/1.5038726</a>.","ista":"Viehland D, Li JF, Yang Y, Costanzo T, Yourdkhani A, Caruntu G, Zhou P, Zhang T, Li T, Gupta A, Popov M, Srinivasan G. 2018. Tutorial: Product properties in multiferroic nanocomposites. Journal of Applied Physics. 124(6), 061101.","short":"D. Viehland, J.F. Li, Y. Yang, T. Costanzo, A. Yourdkhani, G. Caruntu, P. Zhou, T. Zhang, T. Li, A. Gupta, M. Popov, G. Srinivasan, Journal of Applied Physics 124 (2018).","ieee":"D. Viehland <i>et al.</i>, “Tutorial: Product properties in multiferroic nanocomposites,” <i>Journal of Applied Physics</i>, vol. 124, no. 6. AIP, 2018.","ama":"Viehland D, Li JF, Yang Y, et al. Tutorial: Product properties in multiferroic nanocomposites. <i>Journal of Applied Physics</i>. 2018;124(6). doi:<a href=\"https://doi.org/10.1063/1.5038726\">10.1063/1.5038726</a>","chicago":"Viehland, Dwight, Jie Fang Li, Yaodong Yang, Tommaso Costanzo, Amin Yourdkhani, Gabriel Caruntu, Peng Zhou, et al. “Tutorial: Product Properties in Multiferroic Nanocomposites.” <i>Journal of Applied Physics</i>. AIP, 2018. <a href=\"https://doi.org/10.1063/1.5038726\">https://doi.org/10.1063/1.5038726</a>."},"publication_identifier":{"issn":["0021-8979","1089-7550"]},"volume":124,"oa_version":"None","publication_status":"published","doi":"10.1063/1.5038726","publication":"Journal of Applied Physics","issue":"6","title":"Tutorial: Product properties in multiferroic nanocomposites","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Dwight","last_name":"Viehland","full_name":"Viehland, Dwight"},{"full_name":"Li, Jie Fang","first_name":"Jie Fang","last_name":"Li"},{"full_name":"Yang, Yaodong","first_name":"Yaodong","last_name":"Yang"},{"first_name":"Tommaso","id":"D93824F4-D9BA-11E9-BB12-F207E6697425","last_name":"Costanzo","orcid":"0000-0001-9732-3815","full_name":"Costanzo, Tommaso"},{"first_name":"Amin","last_name":"Yourdkhani","full_name":"Yourdkhani, Amin"},{"first_name":"Gabriel","last_name":"Caruntu","full_name":"Caruntu, Gabriel"},{"last_name":"Zhou","first_name":"Peng","full_name":"Zhou, Peng"},{"full_name":"Zhang, Tianjin","first_name":"Tianjin","last_name":"Zhang"},{"full_name":"Li, Tianqian","last_name":"Li","first_name":"Tianqian"},{"first_name":"Arunava","last_name":"Gupta","full_name":"Gupta, Arunava"},{"last_name":"Popov","first_name":"Maksym","full_name":"Popov, Maksym"},{"last_name":"Srinivasan","first_name":"Gopalan","full_name":"Srinivasan, Gopalan"}],"date_updated":"2023-02-23T13:08:29Z","article_number":"061101","publisher":"AIP","month":"08","intvolume":"       124","date_published":"2018-08-10T00:00:00Z","year":"2018","article_type":"original","language":[{"iso":"eng"}],"article_processing_charge":"No"},{"article_processing_charge":"No","external_id":{"arxiv":["1804.03057"]},"department":[{"_id":"HeEd"},{"_id":"JaMa"}],"language":[{"iso":"eng"}],"year":"2018","month":"09","date_published":"2018-09-13T00:00:00Z","publisher":"arXiv","article_number":"1804.03057","date_updated":"2023-12-18T10:51:02Z","oa":1,"author":[{"orcid":"0000-0002-2548-617X","last_name":"Akopyan","id":"430D2C90-F248-11E8-B48F-1D18A9856A87","first_name":"Arseniy","full_name":"Akopyan, Arseniy"},{"id":"3827DAC8-F248-11E8-B48F-1D18A9856A87","first_name":"Sergey","last_name":"Avvakumov","full_name":"Avvakumov, Sergey"},{"first_name":"Roman","last_name":"Karasev","full_name":"Karasev, Roman"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Convex fair partitions into arbitrary number of pieces","project":[{"name":"Optimal Transport and Stochastic Dynamics","_id":"256E75B8-B435-11E9-9278-68D0E5697425","grant_number":"716117","call_identifier":"H2020"}],"publication_status":"published","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1804.03057"}],"doi":"10.48550/arXiv.1804.03057","related_material":{"record":[{"id":"8156","relation":"dissertation_contains","status":"public"}]},"ec_funded":1,"oa_version":"Preprint","citation":{"mla":"Akopyan, Arseniy, et al. <i>Convex Fair Partitions into Arbitrary Number of Pieces</i>. 1804.03057, arXiv, 2018, doi:<a href=\"https://doi.org/10.48550/arXiv.1804.03057\">10.48550/arXiv.1804.03057</a>.","apa":"Akopyan, A., Avvakumov, S., &#38; Karasev, R. (2018). Convex fair partitions into arbitrary number of pieces. arXiv. <a href=\"https://doi.org/10.48550/arXiv.1804.03057\">https://doi.org/10.48550/arXiv.1804.03057</a>","chicago":"Akopyan, Arseniy, Sergey Avvakumov, and Roman Karasev. “Convex Fair Partitions into Arbitrary Number of Pieces.” arXiv, 2018. <a href=\"https://doi.org/10.48550/arXiv.1804.03057\">https://doi.org/10.48550/arXiv.1804.03057</a>.","ama":"Akopyan A, Avvakumov S, Karasev R. Convex fair partitions into arbitrary number of pieces. 2018. doi:<a href=\"https://doi.org/10.48550/arXiv.1804.03057\">10.48550/arXiv.1804.03057</a>","short":"A. Akopyan, S. Avvakumov, R. Karasev, (2018).","ista":"Akopyan A, Avvakumov S, Karasev R. 2018. Convex fair partitions into arbitrary number of pieces. 1804.03057.","ieee":"A. Akopyan, S. Avvakumov, and R. Karasev, “Convex fair partitions into arbitrary number of pieces.” arXiv, 2018."},"type":"preprint","abstract":[{"lang":"eng","text":"We prove that any convex body in the plane can be partitioned into m convex parts of equal areas and perimeters for any integer m≥2; this result was previously known for prime powers m=pk. We also give a higher-dimensional generalization."}],"arxiv":1,"_id":"75","date_created":"2018-12-11T11:44:30Z","status":"public","day":"13"},{"publisher":"Springer","has_accepted_license":"1","file":[{"checksum":"872db70bba9b401500abe3c6ae2f1a61","access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"5711","creator":"dernst","file_size":799337,"date_created":"2018-12-17T14:21:22Z","date_updated":"2020-07-14T12:48:01Z","file_name":"2018_DistributedComputing_Lenzen.pdf"}],"author":[{"first_name":"Christoph","last_name":"Lenzen","full_name":"Lenzen, Christoph"},{"id":"334EFD2E-F248-11E8-B48F-1D18A9856A87","first_name":"Joel","last_name":"Rybicki","orcid":"0000-0002-6432-6646","full_name":"Rybicki, Joel"}],"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","title":"Near-optimal self-stabilising counting and firing squads","department":[{"_id":"DaAl"}],"publist_id":"7978","article_processing_charge":"Yes (via OA deal)","language":[{"iso":"eng"}],"file_date_updated":"2020-07-14T12:48:01Z","type":"journal_article","scopus_import":"1","abstract":[{"text":"Consider a fully-connected synchronous distributed system consisting of n nodes, where up to f nodes may be faulty and every node starts in an arbitrary initial state. In the synchronous C-counting problem, all nodes need to eventually agree on a counter that is increased by one modulo C in each round for given C&gt;1. In the self-stabilising firing squad problem, the task is to eventually guarantee that all non-faulty nodes have simultaneous responses to external inputs: if a subset of the correct nodes receive an external “go” signal as input, then all correct nodes should agree on a round (in the not-too-distant future) in which to jointly output a “fire” signal. Moreover, no node should generate a “fire” signal without some correct node having previously received a “go” signal as input. We present a framework reducing both tasks to binary consensus at very small cost. For example, we obtain a deterministic algorithm for self-stabilising Byzantine firing squads with optimal resilience f&lt;n/3, asymptotically optimal stabilisation and response time O(f), and message size O(log f). As our framework does not restrict the type of consensus routines used, we also obtain efficient randomised solutions.","lang":"eng"}],"citation":{"chicago":"Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” <i>Distributed Computing</i>. Springer, 2018. <a href=\"https://doi.org/10.1007/s00446-018-0342-6\">https://doi.org/10.1007/s00446-018-0342-6</a>.","ama":"Lenzen C, Rybicki J. Near-optimal self-stabilising counting and firing squads. <i>Distributed Computing</i>. 2018. doi:<a href=\"https://doi.org/10.1007/s00446-018-0342-6\">10.1007/s00446-018-0342-6</a>","ieee":"C. Lenzen and J. Rybicki, “Near-optimal self-stabilising counting and firing squads,” <i>Distributed Computing</i>. Springer, 2018.","ista":"Lenzen C, Rybicki J. 2018. Near-optimal self-stabilising counting and firing squads. Distributed Computing.","short":"C. Lenzen, J. Rybicki, Distributed Computing (2018).","mla":"Lenzen, Christoph, and Joel Rybicki. “Near-Optimal Self-Stabilising Counting and Firing Squads.” <i>Distributed Computing</i>, Springer, 2018, doi:<a href=\"https://doi.org/10.1007/s00446-018-0342-6\">10.1007/s00446-018-0342-6</a>.","apa":"Lenzen, C., &#38; Rybicki, J. (2018). Near-optimal self-stabilising counting and firing squads. <i>Distributed Computing</i>. Springer. <a href=\"https://doi.org/10.1007/s00446-018-0342-6\">https://doi.org/10.1007/s00446-018-0342-6</a>"},"quality_controlled":"1","_id":"76","publication_status":"published","project":[{"_id":"B67AFEDC-15C9-11EA-A837-991A96BB2854","name":"IST Austria Open Access Fund"}],"month":"09","date_published":"2018-09-12T00:00:00Z","oa":1,"date_updated":"2023-09-13T09:01:06Z","external_id":{"isi":["000475627800005"]},"year":"2018","day":"12","status":"public","date_created":"2018-12-11T11:44:30Z","tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"ddc":["000"],"doi":"10.1007/s00446-018-0342-6","publication":"Distributed Computing","isi":1,"oa_version":"Published Version"},{"publisher":"Elsevier","date_published":"2018-01-04T00:00:00Z","intvolume":"        97","month":"01","author":[{"orcid":"0000-0001-9242-5601","last_name":"Sweeney","id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","first_name":"Lora Beatrice Jaeger","full_name":"Sweeney, Lora Beatrice Jaeger"},{"first_name":"Jay B.","last_name":"Bikoff","full_name":"Bikoff, Jay B."},{"full_name":"Gabitto, Mariano I.","last_name":"Gabitto","first_name":"Mariano I."},{"first_name":"Susan","last_name":"Brenner-Morton","full_name":"Brenner-Morton, Susan"},{"full_name":"Baek, Myungin","first_name":"Myungin","last_name":"Baek"},{"full_name":"Yang, Jerry H.","first_name":"Jerry H.","last_name":"Yang"},{"last_name":"Tabak","first_name":"Esteban G.","full_name":"Tabak, Esteban G."},{"last_name":"Dasen","first_name":"Jeremy S.","full_name":"Dasen, Jeremy S."},{"last_name":"Kintner","first_name":"Christopher R.","full_name":"Kintner, Christopher R."},{"last_name":"Jessell","first_name":"Thomas M.","full_name":"Jessell, Thomas M."}],"title":"Origin and segmental diversity of spinal inhibitory interneurons","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","issue":"2","date_updated":"2024-01-31T10:13:54Z","article_processing_charge":"No","page":"341-355.e3","article_type":"original","year":"2018","language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"Motor output varies along the rostro-caudal axis of the tetrapod spinal cord. At limb levels, ∼60 motor pools control the alternation of flexor and extensor muscles about each joint, whereas at thoracic levels as few as 10 motor pools supply muscle groups that support posture, inspiration, and expiration. Whether such differences in motor neuron identity and muscle number are associated with segmental distinctions in interneuron diversity has not been resolved. We show that select combinations of nineteen transcription factors that specify lumbar V1 inhibitory interneurons generate subpopulations enriched at limb and thoracic levels. Specification of limb and thoracic V1 interneurons involves the Hox gene Hoxc9 independently of motor neurons. Thus, early Hox patterning of the spinal cord determines the identity of V1 interneurons and motor neurons. These studies reveal a developmental program of V1 interneuron diversity, providing insight into the organization of inhibitory interneurons associated with differential motor output."}],"type":"journal_article","volume":97,"extern":"1","publication_identifier":{"issn":["0896-6273"]},"citation":{"apa":"Sweeney, L. B., Bikoff, J. B., Gabitto, M. I., Brenner-Morton, S., Baek, M., Yang, J. H., … Jessell, T. M. (2018). Origin and segmental diversity of spinal inhibitory interneurons. <i>Neuron</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">https://doi.org/10.1016/j.neuron.2017.12.029</a>","mla":"Sweeney, Lora B., et al. “Origin and Segmental Diversity of Spinal Inhibitory Interneurons.” <i>Neuron</i>, vol. 97, no. 2, Elsevier, 2018, p. 341–355.e3, doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">10.1016/j.neuron.2017.12.029</a>.","ama":"Sweeney LB, Bikoff JB, Gabitto MI, et al. Origin and segmental diversity of spinal inhibitory interneurons. <i>Neuron</i>. 2018;97(2):341-355.e3. doi:<a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">10.1016/j.neuron.2017.12.029</a>","ieee":"L. B. Sweeney <i>et al.</i>, “Origin and segmental diversity of spinal inhibitory interneurons,” <i>Neuron</i>, vol. 97, no. 2. Elsevier, p. 341–355.e3, 2018.","short":"L.B. Sweeney, J.B. Bikoff, M.I. Gabitto, S. Brenner-Morton, M. Baek, J.H. Yang, E.G. Tabak, J.S. Dasen, C.R. Kintner, T.M. Jessell, Neuron 97 (2018) 341–355.e3.","ista":"Sweeney LB, Bikoff JB, Gabitto MI, Brenner-Morton S, Baek M, Yang JH, Tabak EG, Dasen JS, Kintner CR, Jessell TM. 2018. Origin and segmental diversity of spinal inhibitory interneurons. Neuron. 97(2), 341–355.e3.","chicago":"Sweeney, Lora B., Jay B. Bikoff, Mariano I. Gabitto, Susan Brenner-Morton, Myungin Baek, Jerry H. Yang, Esteban G. Tabak, Jeremy S. Dasen, Christopher R. Kintner, and Thomas M. Jessell. “Origin and Segmental Diversity of Spinal Inhibitory Interneurons.” <i>Neuron</i>. Elsevier, 2018. <a href=\"https://doi.org/10.1016/j.neuron.2017.12.029\">https://doi.org/10.1016/j.neuron.2017.12.029</a>."},"day":"04","status":"public","quality_controlled":"1","_id":"7698","date_created":"2020-04-30T10:35:13Z","publication":"Neuron","publication_status":"published","doi":"10.1016/j.neuron.2017.12.029","oa_version":"None"},{"citation":{"apa":"Watzinger, H., Kukucka, J., Vukušić, L., Gao, F., Wang, T., Schäffler, F., … Katsaros, G. (2018). A germanium hole spin qubit. <i>Nature Communications</i>. Nature Publishing Group. <a href=\"https://doi.org/10.1038/s41467-018-06418-4\">https://doi.org/10.1038/s41467-018-06418-4</a>","mla":"Watzinger, Hannes, et al. “A Germanium Hole Spin Qubit.” <i>Nature Communications</i>, vol. 9, no. 3902, Nature Publishing Group, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-018-06418-4\">10.1038/s41467-018-06418-4</a>.","ista":"Watzinger H, Kukucka J, Vukušić L, Gao F, Wang T, Schäffler F, Zhang J, Katsaros G. 2018. A germanium hole spin qubit. Nature Communications. 9(3902).","short":"H. Watzinger, J. Kukucka, L. Vukušić, F. Gao, T. Wang, F. Schäffler, J. Zhang, G. Katsaros, Nature Communications 9 (2018).","ieee":"H. Watzinger <i>et al.</i>, “A germanium hole spin qubit,” <i>Nature Communications</i>, vol. 9, no. 3902. Nature Publishing Group, 2018.","ama":"Watzinger H, Kukucka J, Vukušić L, et al. A germanium hole spin qubit. <i>Nature Communications</i>. 2018;9(3902). doi:<a href=\"https://doi.org/10.1038/s41467-018-06418-4\">10.1038/s41467-018-06418-4</a>","chicago":"Watzinger, Hannes, Josip Kukucka, Lada Vukušić, Fei Gao, Ting Wang, Friedrich Schäffler, Jian Zhang, and Georgios Katsaros. “A Germanium Hole Spin Qubit.” <i>Nature Communications</i>. Nature Publishing Group, 2018. <a href=\"https://doi.org/10.1038/s41467-018-06418-4\">https://doi.org/10.1038/s41467-018-06418-4</a>."},"scopus_import":"1","abstract":[{"text":"Holes confined in quantum dots have gained considerable interest in the past few years due to their potential as spin qubits. Here we demonstrate two-axis control of a spin 3/2 qubit in natural Ge. The qubit is formed in a hut wire double quantum dot device. The Pauli spin blockade principle allowed us to demonstrate electric dipole spin resonance by applying a radio frequency electric field to one of the electrodes defining the double quantum dot. Coherent hole spin oscillations with Rabi frequencies reaching 140 MHz are demonstrated and dephasing times of 130 ns are measured. The reported results emphasize the potential of Ge as a platform for fast and electrically tunable hole spin qubit devices.","lang":"eng"}],"file_date_updated":"2020-07-14T12:48:02Z","type":"journal_article","_id":"77","quality_controlled":"1","project":[{"grant_number":"335497","call_identifier":"FP7","_id":"25517E86-B435-11E9-9278-68D0E5697425","name":"Towards Spin qubits and Majorana fermions in Germanium selfassembled hut-wires"},{"name":"Loch Spin-Qubits und Majorana-Fermionen in Germanium","_id":"2552F888-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"Y00715"}],"publication_status":"published","has_accepted_license":"1","publisher":"Nature Publishing Group","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","author":[{"full_name":"Watzinger, Hannes","id":"35DF8E50-F248-11E8-B48F-1D18A9856A87","first_name":"Hannes","last_name":"Watzinger"},{"last_name":"Kukucka","id":"3F5D8856-F248-11E8-B48F-1D18A9856A87","first_name":"Josip","full_name":"Kukucka, Josip"},{"full_name":"Vukusic, Lada","last_name":"Vukusic","orcid":"0000-0003-2424-8636","id":"31E9F056-F248-11E8-B48F-1D18A9856A87","first_name":"Lada"},{"last_name":"Gao","first_name":"Fei","full_name":"Gao, Fei"},{"full_name":"Wang, Ting","last_name":"Wang","first_name":"Ting"},{"last_name":"Schäffler","first_name":"Friedrich","full_name":"Schäffler, Friedrich"},{"first_name":"Jian","last_name":"Zhang","full_name":"Zhang, Jian"},{"full_name":"Katsaros, Georgios","last_name":"Katsaros","orcid":"0000-0001-8342-202X","first_name":"Georgios","id":"38DB5788-F248-11E8-B48F-1D18A9856A87"}],"title":"A germanium hole spin qubit","file":[{"file_name":"2018_NatureComm_Watzinger.pdf","date_created":"2018-12-17T10:28:30Z","date_updated":"2020-07-14T12:48:02Z","creator":"dernst","file_size":1063469,"content_type":"application/pdf","file_id":"5687","checksum":"e7148c10a64497e279c4de570b6cc544","relation":"main_file","access_level":"open_access"}],"article_processing_charge":"Yes","department":[{"_id":"GeKa"}],"language":[{"iso":"eng"}],"article_type":"original","volume":9,"tmp":{"image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"date_created":"2018-12-11T11:44:30Z","ddc":["530"],"day":"25","status":"public","publication":"Nature Communications","doi":"10.1038/s41467-018-06418-4","related_material":{"record":[{"relation":"popular_science","id":"7977"},{"status":"public","relation":"dissertation_contains","id":"7996"}]},"oa_version":"Published Version","ec_funded":1,"isi":1,"date_published":"2018-09-25T00:00:00Z","month":"09","intvolume":"         9","date_updated":"2023-09-08T11:44:02Z","oa":1,"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"NanoFab"}],"issue":"3902 ","external_id":{"isi":["000445560800010"]},"year":"2018"},{"citation":{"chicago":"Yap, Chloe X., Julia Sidorenko, Yang Wu, Kathryn E. Kemper, Jian Yang, Naomi R. Wray, Matthew Richard Robinson, and Peter M. Visscher. “Dissection of Genetic Variation and Evidence for Pleiotropy in Male Pattern Baldness.” <i>Nature Communications</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41467-018-07862-y\">https://doi.org/10.1038/s41467-018-07862-y</a>.","short":"C.X. Yap, J. Sidorenko, Y. Wu, K.E. Kemper, J. Yang, N.R. Wray, M.R. Robinson, P.M. Visscher, Nature Communications 9 (2018).","ista":"Yap CX, Sidorenko J, Wu Y, Kemper KE, Yang J, Wray NR, Robinson MR, Visscher PM. 2018. Dissection of genetic variation and evidence for pleiotropy in male pattern baldness. Nature Communications. 9, 5407.","ieee":"C. X. Yap <i>et al.</i>, “Dissection of genetic variation and evidence for pleiotropy in male pattern baldness,” <i>Nature Communications</i>, vol. 9. Springer Nature, 2018.","ama":"Yap CX, Sidorenko J, Wu Y, et al. Dissection of genetic variation and evidence for pleiotropy in male pattern baldness. <i>Nature Communications</i>. 2018;9. doi:<a href=\"https://doi.org/10.1038/s41467-018-07862-y\">10.1038/s41467-018-07862-y</a>","mla":"Yap, Chloe X., et al. “Dissection of Genetic Variation and Evidence for Pleiotropy in Male Pattern Baldness.” <i>Nature Communications</i>, vol. 9, 5407, Springer Nature, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-018-07862-y\">10.1038/s41467-018-07862-y</a>.","apa":"Yap, C. X., Sidorenko, J., Wu, Y., Kemper, K. E., Yang, J., Wray, N. R., … Visscher, P. M. (2018). Dissection of genetic variation and evidence for pleiotropy in male pattern baldness. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-018-07862-y\">https://doi.org/10.1038/s41467-018-07862-y</a>"},"extern":"1","publication_identifier":{"issn":["2041-1723"]},"volume":9,"type":"journal_article","abstract":[{"text":"Male pattern baldness (MPB) is a sex-limited, age-related, complex trait. We study MPB genetics in 205,327 European males from the UK Biobank. Here we show that MPB is strongly heritable and polygenic, with pedigree-heritability of 0.62 (SE = 0.03) estimated from close relatives, and SNP-heritability of 0.39 (SE = 0.01) from conventionally-unrelated males. We detect 624 near-independent genome-wide loci, contributing SNP-heritability of 0.25 (SE = 0.01), of which 26 X-chromosome loci explain 11.6%. Autosomal genetic variance is enriched for common variants and regions of lower linkage disequilibrium. We identify plausible genetic correlations between MPB and multiple sex-limited markers of earlier puberty, increased bone mineral density (rg = 0.15) and pancreatic β-cell function (rg = 0.12). Correlations with reproductive traits imply an effect on fitness, consistent with an estimated linear selection gradient of -0.018 per MPB standard deviation. Overall, we provide genetic insights into MPB: a phenotype of interest in its own right, with value as a model sex-limited, complex trait.","lang":"eng"}],"date_created":"2020-04-30T10:41:19Z","_id":"7712","day":"20","status":"public","quality_controlled":"1","doi":"10.1038/s41467-018-07862-y","publication_status":"published","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41467-018-07862-y"}],"publication":"Nature Communications","oa_version":"Published Version","intvolume":"         9","month":"12","date_published":"2018-12-20T00:00:00Z","article_number":"5407","publisher":"Springer Nature","date_updated":"2021-01-12T08:15:02Z","oa":1,"author":[{"full_name":"Yap, Chloe X.","last_name":"Yap","first_name":"Chloe X."},{"last_name":"Sidorenko","first_name":"Julia","full_name":"Sidorenko, Julia"},{"full_name":"Wu, Yang","first_name":"Yang","last_name":"Wu"},{"last_name":"Kemper","first_name":"Kathryn E.","full_name":"Kemper, Kathryn E."},{"last_name":"Yang","first_name":"Jian","full_name":"Yang, Jian"},{"full_name":"Wray, Naomi R.","last_name":"Wray","first_name":"Naomi R."},{"id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","orcid":"0000-0001-8982-8813","last_name":"Robinson","full_name":"Robinson, Matthew Richard"},{"last_name":"Visscher","first_name":"Peter M.","full_name":"Visscher, Peter M."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Dissection of genetic variation and evidence for pleiotropy in male pattern baldness","article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2018","article_type":"original"},{"article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2018","article_type":"original","month":"05","intvolume":"         9","date_published":"2018-05-14T00:00:00Z","article_number":"1865","publisher":"Springer Nature","date_updated":"2021-01-12T08:15:02Z","author":[{"full_name":"Guo, Jing","last_name":"Guo","first_name":"Jing"},{"full_name":"Wu, Yang","last_name":"Wu","first_name":"Yang"},{"last_name":"Zhu","first_name":"Zhihong","full_name":"Zhu, Zhihong"},{"full_name":"Zheng, Zhili","first_name":"Zhili","last_name":"Zheng"},{"first_name":"Maciej","last_name":"Trzaskowski","full_name":"Trzaskowski, Maciej"},{"first_name":"Jian","last_name":"Zeng","full_name":"Zeng, Jian"},{"full_name":"Robinson, Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","last_name":"Robinson","orcid":"0000-0001-8982-8813"},{"first_name":"Peter M.","last_name":"Visscher","full_name":"Visscher, Peter M."},{"full_name":"Yang, Jian","last_name":"Yang","first_name":"Jian"}],"oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Global genetic differentiation of complex traits shaped by natural selection in humans","publication_status":"published","doi":"10.1038/s41467-018-04191-y","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41467-018-04191-y"}],"publication":"Nature Communications","oa_version":"Published Version","extern":"1","citation":{"apa":"Guo, J., Wu, Y., Zhu, Z., Zheng, Z., Trzaskowski, M., Zeng, J., … Yang, J. (2018). Global genetic differentiation of complex traits shaped by natural selection in humans. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-018-04191-y\">https://doi.org/10.1038/s41467-018-04191-y</a>","mla":"Guo, Jing, et al. “Global Genetic Differentiation of Complex Traits Shaped by Natural Selection in Humans.” <i>Nature Communications</i>, vol. 9, 1865, Springer Nature, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-018-04191-y\">10.1038/s41467-018-04191-y</a>.","short":"J. Guo, Y. Wu, Z. Zhu, Z. Zheng, M. Trzaskowski, J. Zeng, M.R. Robinson, P.M. Visscher, J. Yang, Nature Communications 9 (2018).","ieee":"J. Guo <i>et al.</i>, “Global genetic differentiation of complex traits shaped by natural selection in humans,” <i>Nature Communications</i>, vol. 9. Springer Nature, 2018.","ista":"Guo J, Wu Y, Zhu Z, Zheng Z, Trzaskowski M, Zeng J, Robinson MR, Visscher PM, Yang J. 2018. Global genetic differentiation of complex traits shaped by natural selection in humans. Nature Communications. 9, 1865.","ama":"Guo J, Wu Y, Zhu Z, et al. Global genetic differentiation of complex traits shaped by natural selection in humans. <i>Nature Communications</i>. 2018;9. doi:<a href=\"https://doi.org/10.1038/s41467-018-04191-y\">10.1038/s41467-018-04191-y</a>","chicago":"Guo, Jing, Yang Wu, Zhihong Zhu, Zhili Zheng, Maciej Trzaskowski, Jian Zeng, Matthew Richard Robinson, Peter M. Visscher, and Jian Yang. “Global Genetic Differentiation of Complex Traits Shaped by Natural Selection in Humans.” <i>Nature Communications</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41467-018-04191-y\">https://doi.org/10.1038/s41467-018-04191-y</a>."},"publication_identifier":{"issn":["2041-1723"]},"volume":9,"type":"journal_article","abstract":[{"lang":"eng","text":"There are mean differences in complex traits among global human populations. We hypothesize that part of the phenotypic differentiation is due to natural selection. To address this hypothesis, we assess the differentiation in allele frequencies of trait-associated SNPs among African, Eastern Asian, and European populations for ten complex traits using data of large sample size (up to ~405,000). We show that SNPs associated with height (P=2.46×10−5), waist-to-hip ratio (P=2.77×10−4), and schizophrenia (P=3.96×10−5) are significantly more differentiated among populations than matched “control” SNPs, suggesting that these trait-associated SNPs have undergone natural selection. We further find that SNPs associated with height (P=2.01×10−6) and schizophrenia (P=5.16×10−18) show significantly higher variance in linkage disequilibrium (LD) scores across populations than control SNPs. Our results support the hypothesis that natural selection has shaped the genetic differentiation of complex traits, such as height and schizophrenia, among worldwide populations."}],"_id":"7713","date_created":"2020-04-30T10:41:36Z","status":"public","day":"14","quality_controlled":"1"},{"day":"15","status":"public","quality_controlled":"1","date_created":"2020-04-30T10:41:55Z","_id":"7714","abstract":[{"text":"Health risk factors such as body mass index (BMI) and serum cholesterol are associated with many common diseases. It often remains unclear whether the risk factors are cause or consequence of disease, or whether the associations are the result of confounding. We develop and apply a method (called GSMR) that performs a multi-SNP Mendelian randomization analysis using summary-level data from genome-wide association studies to test the causal associations of BMI, waist-to-hip ratio, serum cholesterols, blood pressures, height, and years of schooling (EduYears) with common diseases (sample sizes of up to 405,072). We identify a number of causal associations including a protective effect of LDL-cholesterol against type-2 diabetes (T2D) that might explain the side effects of statins on T2D, a protective effect of EduYears against Alzheimer’s disease, and bidirectional associations with opposite effects (e.g., higher BMI increases the risk of T2D but the effect of T2D on BMI is negative).","lang":"eng"}],"type":"journal_article","volume":9,"citation":{"ama":"Zhu Z, Zheng Z, Zhang F, et al. Causal associations between risk factors and common diseases inferred from GWAS summary data. <i>Nature Communications</i>. 2018;9. doi:<a href=\"https://doi.org/10.1038/s41467-017-02317-2\">10.1038/s41467-017-02317-2</a>","ista":"Zhu Z, Zheng Z, Zhang F, Wu Y, Trzaskowski M, Maier R, Robinson MR, McGrath JJ, Visscher PM, Wray NR, Yang J. 2018. Causal associations between risk factors and common diseases inferred from GWAS summary data. Nature Communications. 9, 224.","short":"Z. Zhu, Z. Zheng, F. Zhang, Y. Wu, M. Trzaskowski, R. Maier, M.R. Robinson, J.J. McGrath, P.M. Visscher, N.R. Wray, J. Yang, Nature Communications 9 (2018).","ieee":"Z. Zhu <i>et al.</i>, “Causal associations between risk factors and common diseases inferred from GWAS summary data,” <i>Nature Communications</i>, vol. 9. Springer Nature, 2018.","chicago":"Zhu, Zhihong, Zhili Zheng, Futao Zhang, Yang Wu, Maciej Trzaskowski, Robert Maier, Matthew Richard Robinson, et al. “Causal Associations between Risk Factors and Common Diseases Inferred from GWAS Summary Data.” <i>Nature Communications</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41467-017-02317-2\">https://doi.org/10.1038/s41467-017-02317-2</a>.","apa":"Zhu, Z., Zheng, Z., Zhang, F., Wu, Y., Trzaskowski, M., Maier, R., … Yang, J. (2018). Causal associations between risk factors and common diseases inferred from GWAS summary data. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-017-02317-2\">https://doi.org/10.1038/s41467-017-02317-2</a>","mla":"Zhu, Zhihong, et al. “Causal Associations between Risk Factors and Common Diseases Inferred from GWAS Summary Data.” <i>Nature Communications</i>, vol. 9, 224, Springer Nature, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-017-02317-2\">10.1038/s41467-017-02317-2</a>."},"publication_identifier":{"issn":["2041-1723"]},"extern":"1","oa_version":"Published Version","publication":"Nature Communications","publication_status":"published","doi":"10.1038/s41467-017-02317-2","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41467-017-02317-2"}],"oa":1,"title":"Causal associations between risk factors and common diseases inferred from GWAS summary data","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Zhihong","last_name":"Zhu","full_name":"Zhu, Zhihong"},{"full_name":"Zheng, Zhili","first_name":"Zhili","last_name":"Zheng"},{"full_name":"Zhang, Futao","first_name":"Futao","last_name":"Zhang"},{"full_name":"Wu, Yang","last_name":"Wu","first_name":"Yang"},{"full_name":"Trzaskowski, Maciej","last_name":"Trzaskowski","first_name":"Maciej"},{"full_name":"Maier, Robert","last_name":"Maier","first_name":"Robert"},{"full_name":"Robinson, Matthew Richard","orcid":"0000-0001-8982-8813","last_name":"Robinson","first_name":"Matthew Richard","id":"E5D42276-F5DA-11E9-8E24-6303E6697425"},{"last_name":"McGrath","first_name":"John J.","full_name":"McGrath, John J."},{"full_name":"Visscher, Peter M.","last_name":"Visscher","first_name":"Peter M."},{"last_name":"Wray","first_name":"Naomi R.","full_name":"Wray, Naomi R."},{"last_name":"Yang","first_name":"Jian","full_name":"Yang, Jian"}],"date_updated":"2021-01-12T08:15:03Z","article_number":"224","publisher":"Springer Nature","date_published":"2018-01-15T00:00:00Z","month":"01","intvolume":"         9","article_type":"original","year":"2018","language":[{"iso":"eng"}],"article_processing_charge":"No"},{"oa_version":"None","publication":"Nature Human Behaviour","doi":"10.1038/s41562-018-0476-3","publication_status":"published","quality_controlled":"1","day":"26","status":"public","date_created":"2020-04-30T10:42:12Z","_id":"7715","abstract":[{"lang":"eng","text":"Preference for mates with similar phenotypes; that is, assortative mating, is widely observed in humans1,2,3,4,5 and has evolutionary consequences6,7,8. Under Fisher's classical theory6, assortative mating is predicted to induce a signature in the genome at trait-associated loci that can be detected and quantified. Here, we develop and apply a method to quantify assortative mating on a specific trait by estimating the correlation (θ) between genetic predictors of the trait from single nucleotide polymorphisms on odd- versus even-numbered chromosomes. We show by theory and simulation that the effect of assortative mating can be quantified in the presence of population stratification. We applied this approach to 32 complex traits and diseases using single nucleotide polymorphism data from ~400,000 unrelated individuals of European ancestry. We found significant evidence of assortative mating for height (θ = 3.2%) and educational attainment (θ = 2.7%), both of which were consistent with theoretical predictions. Overall, our results imply that assortative mating involves multiple traits and affects the genomic architecture of loci that are associated with these traits, and that the consequence of mate choice can be detected from a random sample of genomes."}],"type":"journal_article","volume":2,"extern":"1","publication_identifier":{"issn":["2397-3374"]},"citation":{"chicago":"Yengo, Loic, Matthew Richard Robinson, Matthew C. Keller, Kathryn E. Kemper, Yuanhao Yang, Maciej Trzaskowski, Jacob Gratten, et al. “Imprint of Assortative Mating on the Human Genome.” <i>Nature Human Behaviour</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41562-018-0476-3\">https://doi.org/10.1038/s41562-018-0476-3</a>.","ama":"Yengo L, Robinson MR, Keller MC, et al. Imprint of assortative mating on the human genome. <i>Nature Human Behaviour</i>. 2018;2(12):948-954. doi:<a href=\"https://doi.org/10.1038/s41562-018-0476-3\">10.1038/s41562-018-0476-3</a>","ieee":"L. Yengo <i>et al.</i>, “Imprint of assortative mating on the human genome,” <i>Nature Human Behaviour</i>, vol. 2, no. 12. Springer Nature, pp. 948–954, 2018.","ista":"Yengo L, Robinson MR, Keller MC, Kemper KE, Yang Y, Trzaskowski M, Gratten J, Turley P, Cesarini D, Benjamin DJ, Wray NR, Goddard ME, Yang J, Visscher PM. 2018. Imprint of assortative mating on the human genome. Nature Human Behaviour. 2(12), 948–954.","short":"L. Yengo, M.R. Robinson, M.C. Keller, K.E. Kemper, Y. Yang, M. Trzaskowski, J. Gratten, P. Turley, D. Cesarini, D.J. Benjamin, N.R. Wray, M.E. Goddard, J. Yang, P.M. Visscher, Nature Human Behaviour 2 (2018) 948–954.","mla":"Yengo, Loic, et al. “Imprint of Assortative Mating on the Human Genome.” <i>Nature Human Behaviour</i>, vol. 2, no. 12, Springer Nature, 2018, pp. 948–54, doi:<a href=\"https://doi.org/10.1038/s41562-018-0476-3\">10.1038/s41562-018-0476-3</a>.","apa":"Yengo, L., Robinson, M. R., Keller, M. C., Kemper, K. E., Yang, Y., Trzaskowski, M., … Visscher, P. M. (2018). Imprint of assortative mating on the human genome. <i>Nature Human Behaviour</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41562-018-0476-3\">https://doi.org/10.1038/s41562-018-0476-3</a>"},"article_type":"original","year":"2018","language":[{"iso":"eng"}],"page":"948-954","article_processing_charge":"No","author":[{"first_name":"Loic","last_name":"Yengo","full_name":"Yengo, Loic"},{"orcid":"0000-0001-8982-8813","last_name":"Robinson","id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","full_name":"Robinson, Matthew Richard"},{"full_name":"Keller, Matthew C.","first_name":"Matthew C.","last_name":"Keller"},{"last_name":"Kemper","first_name":"Kathryn E.","full_name":"Kemper, Kathryn E."},{"full_name":"Yang, Yuanhao","last_name":"Yang","first_name":"Yuanhao"},{"first_name":"Maciej","last_name":"Trzaskowski","full_name":"Trzaskowski, Maciej"},{"last_name":"Gratten","first_name":"Jacob","full_name":"Gratten, Jacob"},{"first_name":"Patrick","last_name":"Turley","full_name":"Turley, Patrick"},{"first_name":"David","last_name":"Cesarini","full_name":"Cesarini, David"},{"last_name":"Benjamin","first_name":"Daniel J.","full_name":"Benjamin, Daniel J."},{"full_name":"Wray, Naomi R.","first_name":"Naomi R.","last_name":"Wray"},{"full_name":"Goddard, Michael E.","first_name":"Michael E.","last_name":"Goddard"},{"last_name":"Yang","first_name":"Jian","full_name":"Yang, Jian"},{"full_name":"Visscher, Peter M.","last_name":"Visscher","first_name":"Peter M."}],"title":"Imprint of assortative mating on the human genome","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","issue":"12","date_updated":"2021-01-12T08:15:03Z","publisher":"Springer Nature","date_published":"2018-11-26T00:00:00Z","intvolume":"         2","month":"11"},{"publication_status":"published","doi":"10.1038/s41467-017-02769-6","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1038/s41467-017-02769-6"}],"publication":"Nature Communications","oa_version":"Published Version","type":"journal_article","abstract":[{"text":"Genomic prediction has the potential to contribute to precision medicine. However, to date, the utility of such predictors is limited due to low accuracy for most traits. Here theory and simulation study are used to demonstrate that widespread pleiotropy among phenotypes can be utilised to improve genomic risk prediction. We show how a genetic predictor can be created as a weighted index that combines published genome-wide association study (GWAS) summary statistics across many different traits. We apply this framework to predict risk of schizophrenia and bipolar disorder in the Psychiatric Genomics consortium data, finding substantial heterogeneity in prediction accuracy increases across cohorts. For six additional phenotypes in the UK Biobank data, we find increases in prediction accuracy ranging from 0.7% for height to 47% for type 2 diabetes, when using a multi-trait predictor that combines published summary statistics from multiple traits, as compared to a predictor based only on one trait.","lang":"eng"}],"publication_identifier":{"issn":["2041-1723"]},"extern":"1","citation":{"mla":"Maier, Robert M., et al. “Improving Genetic Prediction by Leveraging Genetic Correlations among Human Diseases and Traits.” <i>Nature Communications</i>, vol. 9, 989, Springer Nature, 2018, doi:<a href=\"https://doi.org/10.1038/s41467-017-02769-6\">10.1038/s41467-017-02769-6</a>.","apa":"Maier, R. M., Zhu, Z., Lee, S. H., Trzaskowski, M., Ruderfer, D. M., Stahl, E. A., … Robinson, M. R. (2018). Improving genetic prediction by leveraging genetic correlations among human diseases and traits. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-017-02769-6\">https://doi.org/10.1038/s41467-017-02769-6</a>","chicago":"Maier, Robert M., Zhihong Zhu, Sang Hong Lee, Maciej Trzaskowski, Douglas M. Ruderfer, Eli A. Stahl, Stephan Ripke, et al. “Improving Genetic Prediction by Leveraging Genetic Correlations among Human Diseases and Traits.” <i>Nature Communications</i>. Springer Nature, 2018. <a href=\"https://doi.org/10.1038/s41467-017-02769-6\">https://doi.org/10.1038/s41467-017-02769-6</a>.","short":"R.M. Maier, Z. Zhu, S.H. Lee, M. Trzaskowski, D.M. Ruderfer, E.A. Stahl, S. Ripke, N.R. Wray, J. Yang, P.M. Visscher, M.R. Robinson, Nature Communications 9 (2018).","ista":"Maier RM, Zhu Z, Lee SH, Trzaskowski M, Ruderfer DM, Stahl EA, Ripke S, Wray NR, Yang J, Visscher PM, Robinson MR. 2018. Improving genetic prediction by leveraging genetic correlations among human diseases and traits. Nature Communications. 9, 989.","ieee":"R. M. Maier <i>et al.</i>, “Improving genetic prediction by leveraging genetic correlations among human diseases and traits,” <i>Nature Communications</i>, vol. 9. Springer Nature, 2018.","ama":"Maier RM, Zhu Z, Lee SH, et al. Improving genetic prediction by leveraging genetic correlations among human diseases and traits. <i>Nature Communications</i>. 2018;9. doi:<a href=\"https://doi.org/10.1038/s41467-017-02769-6\">10.1038/s41467-017-02769-6</a>"},"volume":9,"status":"public","quality_controlled":"1","day":"07","date_created":"2020-04-30T10:42:29Z","_id":"7716","article_processing_charge":"No","year":"2018","article_type":"original","language":[{"iso":"eng"}],"publisher":"Springer Nature","article_number":"989","month":"03","intvolume":"         9","date_published":"2018-03-07T00:00:00Z","oa":1,"author":[{"first_name":"Robert M.","last_name":"Maier","full_name":"Maier, Robert M."},{"last_name":"Zhu","first_name":"Zhihong","full_name":"Zhu, Zhihong"},{"full_name":"Lee, Sang Hong","first_name":"Sang Hong","last_name":"Lee"},{"full_name":"Trzaskowski, Maciej","last_name":"Trzaskowski","first_name":"Maciej"},{"first_name":"Douglas M.","last_name":"Ruderfer","full_name":"Ruderfer, Douglas M."},{"full_name":"Stahl, Eli A.","first_name":"Eli A.","last_name":"Stahl"},{"full_name":"Ripke, Stephan","first_name":"Stephan","last_name":"Ripke"},{"full_name":"Wray, Naomi R.","first_name":"Naomi R.","last_name":"Wray"},{"full_name":"Yang, Jian","first_name":"Jian","last_name":"Yang"},{"full_name":"Visscher, Peter M.","last_name":"Visscher","first_name":"Peter M."},{"id":"E5D42276-F5DA-11E9-8E24-6303E6697425","first_name":"Matthew Richard","orcid":"0000-0001-8982-8813","last_name":"Robinson","full_name":"Robinson, Matthew Richard"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Improving genetic prediction by leveraging genetic correlations among human diseases and traits","date_updated":"2021-01-12T08:15:03Z"}]
