6 Publications

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[6]
2022 | Journal Article | IST-REx-ID: 12150 | OA
Artificial neural network states for nonadditive systems
W. Rzadkowski, M. Lemeshko, J.H. Mentink, Physical Review B 106 (2022).
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[5]
2022 | Thesis | IST-REx-ID: 10759 | OA
Analytic and machine learning approaches to composite quantum impurities
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 | Preprint | IST-REx-ID: 10762 | OA
Artificial neural network states for non-additive systems
W. Rzadkowski, M. Lemeshko, J.H. Mentink, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Journal Article | IST-REx-ID: 8644 | OA
Detecting composite orders in layered models via machine learning
W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, G. Bighin, New Journal of Physics 22 (2020).
[Published Version] View | Files available | DOI | WoS
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
Shear-induced ordering in systems with competing interactions: A machine learning study
J. Pȩkalski, W. Rzadkowski, A.Z. Panagiotopoulos, The Journal of Chemical Physics 152 (2020).
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | arXiv
 
[1]
2018 | Journal Article | IST-REx-ID: 415 | OA
Effect of a magnetic field on molecule–solvent angular momentum transfer
W. Rzadkowski, M. Lemeshko, The Journal of Chemical Physics 148 (2018).
[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
Artificial neural network states for nonadditive systems
W. Rzadkowski, M. Lemeshko, J.H. Mentink, Physical Review B 106 (2022).
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
[5]
2022 | Thesis | IST-REx-ID: 10759 | OA
Analytic and machine learning approaches to composite quantum impurities
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 | Preprint | IST-REx-ID: 10762 | OA
Artificial neural network states for non-additive systems
W. Rzadkowski, M. Lemeshko, J.H. Mentink, ArXiv (n.d.).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2020 | Journal Article | IST-REx-ID: 8644 | OA
Detecting composite orders in layered models via machine learning
W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, G. Bighin, New Journal of Physics 22 (2020).
[Published Version] View | Files available | DOI | WoS
 
[2]
2020 | Journal Article | IST-REx-ID: 7956 | OA
Shear-induced ordering in systems with competing interactions: A machine learning study
J. Pȩkalski, W. Rzadkowski, A.Z. Panagiotopoulos, The Journal of Chemical Physics 152 (2020).
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | arXiv
 
[1]
2018 | Journal Article | IST-REx-ID: 415 | OA
Effect of a magnetic field on molecule–solvent angular momentum transfer
W. Rzadkowski, M. Lemeshko, The Journal of Chemical Physics 148 (2018).
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

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