Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory
- DOI
- 10.1088/2632-2153/ade7ca
- Published
- 2025-07-03
- Container
- Machine Learning: Science and Technology
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/2632-2153/ade7ca,
title = {Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory},
author = {Sergei Manzhos and Johann Lüder and Pavlo Golub and Manabu Ihara},
year = {2025},
journal = {Machine Learning: Science and Technology},
doi = {10.1088/2632-2153/ade7ca},
url = {https://doi.org/10.1088/2632-2153/ade7ca}
}RIS
TY - JOUR TI - Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory AU - Sergei Manzhos AU - Johann Lüder AU - Pavlo Golub AU - Manabu Ihara PY - 2025 JO - Machine Learning: Science and Technology DO - 10.1088/2632-2153/ade7ca UR - https://doi.org/10.1088/2632-2153/ade7ca ER -
APA
Manzhos, S., Lüder, J., Golub, P., & Ihara, M. (2025). Machine learning-guided construction of an analytic kinetic energy functional for orbital free density functional theory. Machine Learning: Science and Technology. https://doi.org/10.1088/2632-2153/ade7ca
Source records
- crossref · retrieved 2026-09-27T16:24:31.237Z