Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix
L. Zhang, P. Mazzeo, M. Nottoli, E. Cignoni, L. Cupellini, und B. Stamm. Dataset, (2025)Related to: Liwei Zhang, Patrizia Mazzeo, Michele Nottoli, Edoardo Cignoni, Lorenzo Cupellini, Benjamin Stamm (2025). A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix. arXiv: 2503.08400.
DOI: 10.18419/darus-4902
Zusammenfassung
This archive for reproducibility contains the datasets used to train the models, a small script to read the datasets, and the finest model. More information can be found in the README.md.
Zhang, Liwei/RWTH Aachen University, Mazzeo, Patrizia/University of Pisa, Nottoli, Michele/University of Stuttgart, Cignoni, Edoardo/University of Pisa, Cupellini, Lorenzo/University of Pisa, Stamm, Benjamin/University of Stuttgart
Related to: Liwei Zhang, Patrizia Mazzeo, Michele Nottoli, Edoardo Cignoni, Lorenzo Cupellini, Benjamin Stamm (2025). A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix. arXiv: 2503.08400
%0 Generic
%1 zhang2025replication
%A Zhang, Liwei
%A Mazzeo, Patrizia
%A Nottoli, Michele
%A Cignoni, Edoardo
%A Cupellini, Lorenzo
%A Stamm, Benjamin
%D 2025
%K darus ubs_10008 ubs_20013 ubs_30123 ubs_40429 unibibliografie
%R 10.18419/darus-4902
%T Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix
%X This archive for reproducibility contains the datasets used to train the models, a small script to read the datasets, and the finest model. More information can be found in the README.md.
@misc{zhang2025replication,
abstract = {This archive for reproducibility contains the datasets used to train the models, a small script to read the datasets, and the finest model. More information can be found in the README.md. },
added-at = {2025-04-14T16:13:27.000+0200},
affiliation = {Zhang, Liwei/RWTH Aachen University, Mazzeo, Patrizia/University of Pisa, Nottoli, Michele/University of Stuttgart, Cignoni, Edoardo/University of Pisa, Cupellini, Lorenzo/University of Pisa, Stamm, Benjamin/University of Stuttgart},
author = {Zhang, Liwei and Mazzeo, Patrizia and Nottoli, Michele and Cignoni, Edoardo and Cupellini, Lorenzo and Stamm, Benjamin},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28bfbbf3f5f7595cc6e7e4ace5386259d/unibiblio},
doi = {10.18419/darus-4902},
howpublished = {Dataset},
interhash = {51c9777fc63d3a9de832d73172e77613},
intrahash = {8bfbbf3f5f7595cc6e7e4ace5386259d},
keywords = {darus ubs_10008 ubs_20013 ubs_30123 ubs_40429 unibibliografie},
note = {Related to: Liwei Zhang, Patrizia Mazzeo, Michele Nottoli, Edoardo Cignoni, Lorenzo Cupellini, Benjamin Stamm (2025). A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix. arXiv: 2503.08400},
orcid-numbers = {Zhang, Liwei/https://orcid.org/0000-0003-2896-1965, Mazzeo, Patrizia/https://orcid.org/0000-0002-7015-8124, Nottoli, Michele/https://orcid.org/0000-0002-6544-0897, Cignoni, Edoardo/https://orcid.org/0000-0001-5392-8097, Cupellini, Lorenzo/https://orcid.org/0000-0003-0848-2908, Stamm, Benjamin/https://orcid.org/0000-0003-3375-483X},
timestamp = {2025-04-14T16:13:27.000+0200},
title = {Replication Data for: A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix},
year = 2025
}
