Wojciech Rzadkowski

Graduate School
Lemeshko Group

6 Publications

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[6]
2022 | Journal Article | IST-REx-ID: 12150 | OA
Rzadkowski W, Lemeshko M, Mentink JH. 2022. Artificial neural network states for nonadditive systems. Physical Review B. 106(15), 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.
[Published Version] View | Files available | DOI
 
[4]
2021 | Preprint | IST-REx-ID: 10762 | OA
Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for non-additive systems. arXiv, 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. 22(9), 093026.
[Published Version] View | Files available | DOI | WoS
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
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.
[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. 148(10), 104307.
[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 JH. 2022. Artificial neural network states for nonadditive systems. Physical Review B. 106(15), 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.
[Published Version] View | Files available | DOI
 
[4]
2021 | Preprint | IST-REx-ID: 10762 | OA
Rzadkowski W, Lemeshko M, Mentink JH. Artificial neural network states for non-additive systems. arXiv, 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. 22(9), 093026.
[Published Version] View | Files available | DOI | WoS
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
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.
[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. 148(10), 104307.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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    Citation Style: ISTA Annual Report

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