{"external_id":{"isi":["000537900300001"],"arxiv":["2002.07294"]},"publication_identifier":{"eissn":["10897690"]},"author":[{"last_name":"Pȩkalski","first_name":"J.","full_name":"Pȩkalski, J."},{"orcid":"0000-0002-1106-4419","first_name":"Wojciech","last_name":"Rzadkowski","full_name":"Rzadkowski, Wojciech","id":"48C55298-F248-11E8-B48F-1D18A9856A87"},{"first_name":"A. Z.","last_name":"Panagiotopoulos","full_name":"Panagiotopoulos, A. Z."}],"publication":"The Journal of chemical physics","doi":"10.1063/5.0005194","article_number":"204905","_id":"7956","language":[{"iso":"eng"}],"citation":{"mla":"Pȩkalski, J., et al. “Shear-Induced Ordering in Systems with Competing Interactions: A Machine Learning Study.” <i>The Journal of Chemical Physics</i>, vol. 152, no. 20, 204905, AIP Publishing, 2020, doi:<a href=\"https://doi.org/10.1063/5.0005194\">10.1063/5.0005194</a>.","ieee":"J. Pȩkalski, W. Rzadkowski, and A. Z. Panagiotopoulos, “Shear-induced ordering in systems with competing interactions: A machine learning study,” <i>The Journal of chemical physics</i>, vol. 152, no. 20. AIP Publishing, 2020.","ista":"Pȩkalski J, Rzadkowski W, Panagiotopoulos AZ. 2020. Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of chemical physics. 152(20), 204905.","apa":"Pȩkalski, J., Rzadkowski, W., &#38; Panagiotopoulos, A. Z. (2020). Shear-induced ordering in systems with competing interactions: A machine learning study. <i>The Journal of Chemical Physics</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/5.0005194\">https://doi.org/10.1063/5.0005194</a>","chicago":"Pȩkalski, J., Wojciech Rzadkowski, and A. Z. Panagiotopoulos. “Shear-Induced Ordering in Systems with Competing Interactions: A Machine Learning Study.” <i>The Journal of Chemical Physics</i>. AIP Publishing, 2020. <a href=\"https://doi.org/10.1063/5.0005194\">https://doi.org/10.1063/5.0005194</a>.","ama":"Pȩkalski J, Rzadkowski W, Panagiotopoulos AZ. Shear-induced ordering in systems with competing interactions: A machine learning study. <i>The Journal of chemical physics</i>. 2020;152(20). doi:<a href=\"https://doi.org/10.1063/5.0005194\">10.1063/5.0005194</a>","short":"J. Pȩkalski, W. Rzadkowski, A.Z. Panagiotopoulos, The Journal of Chemical Physics 152 (2020)."},"article_type":"original","ec_funded":1,"year":"2020","intvolume":"       152","volume":152,"project":[{"grant_number":"665385","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"isi":1,"month":"05","article_processing_charge":"No","date_updated":"2024-02-28T13:00:28Z","type":"journal_article","day":"29","department":[{"_id":"MiLe"}],"abstract":[{"lang":"eng","text":"When short-range attractions are combined with long-range repulsions in colloidal particle systems, complex microphases can emerge. Here, we study a system of isotropic particles, which can form lamellar structures or a disordered fluid phase when temperature is varied. We show that, at equilibrium, the lamellar structure crystallizes, while out of equilibrium, the system forms a variety of structures at different shear rates and temperatures above melting. The shear-induced ordering is analyzed by means of principal component analysis and artificial neural networks, which are applied to data of reduced dimensionality. Our results reveal the possibility of inducing ordering by shear, potentially providing a feasible route to the fabrication of ordered lamellar structures from isotropic particles."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1063/5.0005194"}],"date_published":"2020-05-29T00:00:00Z","publication_status":"published","issue":"20","publisher":"AIP Publishing","scopus_import":"1","oa_version":"Published Version","oa":1,"date_created":"2020-06-14T22:00:49Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Shear-induced ordering in systems with competing interactions: A machine learning study","quality_controlled":"1","status":"public","related_material":{"record":[{"status":"public","id":"10759","relation":"dissertation_contains"}]}}