Wojciech Rzadkowski
Graduate School
Lemeshko Group
6 Publications
2022 | Published | Journal Article | IST-REx-ID: 12150 |

Rzadkowski, W., Lemeshko, M., & Mentink, J. H. (2022). Artificial neural network states for nonadditive systems. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.106.155127
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2022 | Published | Thesis | IST-REx-ID: 10759 |

Rzadkowski, W. (2022). Analytic and machine learning approaches to composite quantum impurities. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10759
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2021 | Submitted | Preprint | IST-REx-ID: 10762 |

Rzadkowski, W., Lemeshko, M., & Mentink, J. H. (n.d.). Artificial neural network states for non-additive systems. arXiv. https://doi.org/10.48550/arXiv.2105.15193
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2020 | Published | Journal Article | IST-REx-ID: 7956 |

Pȩkalski, J., Rzadkowski, W., & Panagiotopoulos, A. Z. (2020). Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0005194
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2020 | Published | Journal Article | IST-REx-ID: 8644 |

Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin, G. (2020). Detecting composite orders in layered models via machine learning. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44
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2018 | Published | Journal Article | IST-REx-ID: 415 |

Rzadkowski, W., & Lemeshko, M. (2018). Effect of a magnetic field on molecule–solvent angular momentum transfer. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/1.5017591
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Grants
6 Publications
2022 | Published | Journal Article | IST-REx-ID: 12150 |

Rzadkowski, W., Lemeshko, M., & Mentink, J. H. (2022). Artificial neural network states for nonadditive systems. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.106.155127
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 | Published | Thesis | IST-REx-ID: 10759 |

Rzadkowski, W. (2022). Analytic and machine learning approaches to composite quantum impurities. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:10759
[Published Version]
View
| Files available
| DOI
2021 | Submitted | Preprint | IST-REx-ID: 10762 |

Rzadkowski, W., Lemeshko, M., & Mentink, J. H. (n.d.). Artificial neural network states for non-additive systems. arXiv. https://doi.org/10.48550/arXiv.2105.15193
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 7956 |

Pȩkalski, J., Rzadkowski, W., & Panagiotopoulos, A. Z. (2020). Shear-induced ordering in systems with competing interactions: A machine learning study. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/5.0005194
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
| WoS
| arXiv
2020 | Published | Journal Article | IST-REx-ID: 8644 |

Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin, G. (2020). Detecting composite orders in layered models via machine learning. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44
[Published Version]
View
| Files available
| DOI
| WoS
2018 | Published | Journal Article | IST-REx-ID: 415 |

Rzadkowski, W., & Lemeshko, M. (2018). Effect of a magnetic field on molecule–solvent angular momentum transfer. The Journal of Chemical Physics. AIP Publishing. https://doi.org/10.1063/1.5017591
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv