Wojciech Rzadkowski

Graduate School
Lemeshko Group

6 Publications

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[6]
2022 | Published | Journal Article | IST-REx-ID: 12150 | OA
W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for nonadditive systems,” Physical Review B, vol. 106, no. 15. American Physical Society, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[5]
2022 | Published | Thesis | IST-REx-ID: 10759 | OA
W. Rzadkowski, “Analytic and machine learning approaches to composite quantum impurities,” Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
[4]
2021 | Submitted | Preprint | IST-REx-ID: 10762 | OA
W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for non-additive systems,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Published | Journal Article | IST-REx-ID: 7956 | OA
J. Pȩkalski, W. Rzadkowski, and A. Z. Panagiotopoulos, “Shear-induced ordering in systems with competing interactions: A machine learning study,” The Journal of chemical physics, vol. 152, no. 20. AIP Publishing, 2020.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | arXiv
 
[2]
2020 | Published | Journal Article | IST-REx-ID: 8644 | OA
W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, and G. Bighin, “Detecting composite orders in layered models via machine learning,” New Journal of Physics, vol. 22, no. 9. IOP Publishing, 2020.
[Published Version] View | Files available | DOI | WoS
 
[1]
2018 | Published | Journal Article | IST-REx-ID: 415 | OA
W. Rzadkowski and M. Lemeshko, “Effect of a magnetic field on molecule–solvent angular momentum transfer,” The Journal of Chemical Physics, vol. 148, no. 10. AIP Publishing, 2018.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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6 Publications

Mark all

[6]
2022 | Published | Journal Article | IST-REx-ID: 12150 | OA
W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for nonadditive systems,” Physical Review B, vol. 106, no. 15. American Physical Society, 2022.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[5]
2022 | Published | Thesis | IST-REx-ID: 10759 | OA
W. Rzadkowski, “Analytic and machine learning approaches to composite quantum impurities,” Institute of Science and Technology Austria, 2022.
[Published Version] View | Files available | DOI
 
[4]
2021 | Submitted | Preprint | IST-REx-ID: 10762 | OA
W. Rzadkowski, M. Lemeshko, and J. H. Mentink, “Artificial neural network states for non-additive systems,” arXiv. .
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Published | Journal Article | IST-REx-ID: 7956 | OA
J. Pȩkalski, W. Rzadkowski, and A. Z. Panagiotopoulos, “Shear-induced ordering in systems with competing interactions: A machine learning study,” The Journal of chemical physics, vol. 152, no. 20. AIP Publishing, 2020.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | arXiv
 
[2]
2020 | Published | Journal Article | IST-REx-ID: 8644 | OA
W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, and G. Bighin, “Detecting composite orders in layered models via machine learning,” New Journal of Physics, vol. 22, no. 9. IOP Publishing, 2020.
[Published Version] View | Files available | DOI | WoS
 
[1]
2018 | Published | Journal Article | IST-REx-ID: 415 | OA
W. Rzadkowski and M. Lemeshko, “Effect of a magnetic field on molecule–solvent angular momentum transfer,” The Journal of Chemical Physics, vol. 148, no. 10. AIP Publishing, 2018.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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