Machine learning the Hohenberg-Kohn map for molecular excited states
Density functional theory provides a formal map from the electron density to all observables of interest of a many-body system; however, maps for electronic excited states are unknown. Here, the authors demonstrate a data-driven machine learning approach for constructing multistate functionals.
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Nature Portfolio
2022-11-01
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| シリーズ: | Nature Communications |
| オンライン･アクセス: | https://doi.org/10.1038/s41467-022-34436-w |