6 Publications

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[6]
2022 | Journal Article | IST-REx-ID: 12150 | OA
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
 
[5]
2022 | Thesis | IST-REx-ID: 10759 | OA
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
 
[4]
2021 | Preprint | IST-REx-ID: 10762 | OA
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
 
[3]
2020 | Journal Article | IST-REx-ID: 8644 | OA
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
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
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
 
[1]
2018 | Journal Article | IST-REx-ID: 415 | OA
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
 

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6 Publications

Mark all

[6]
2022 | Journal Article | IST-REx-ID: 12150 | OA
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
 
[5]
2022 | Thesis | IST-REx-ID: 10759 | OA
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
 
[4]
2021 | Preprint | IST-REx-ID: 10762 | OA
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
 
[3]
2020 | Journal Article | IST-REx-ID: 8644 | OA
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
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
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
 
[1]
2018 | Journal Article | IST-REx-ID: 415 | OA
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
 

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