ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations
- DOI
- 10.48550/arxiv.2611.00826
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2611.00826,
title = {ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations},
author = {Kulaev, Kirill and Ryabov, Alexander and Protsenko, Bogdan and Guda, Alexander and Soldatov, Alexander and Burnaev, Evgeny and Vanovskiy, Vladimir},
year = {2026},
doi = {10.48550/arxiv.2611.00826},
url = {https://doi.org/10.48550/arxiv.2611.00826}
}RIS
TY - JOUR TI - ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations AU - Kulaev, Kirill AU - Ryabov, Alexander AU - Protsenko, Bogdan AU - Guda, Alexander AU - Soldatov, Alexander AU - Burnaev, Evgeny AU - Vanovskiy, Vladimir PY - 2026 DO - 10.48550/arxiv.2611.00826 UR - https://doi.org/10.48550/arxiv.2611.00826 ER -
APA
Kirill, K., Alexander, R., Bogdan, P., Alexander, G., Alexander, S., Evgeny, B., & Vladimir, V. (2026). ROSE: Deep Learning exchange-correlation functional from reduced density-matrix representations. https://doi.org/10.48550/arxiv.2611.00826
Source records
- datacite · retrieved 2026-11-10T13:12:24.275Z