Adapting hybrid density functionals with machine learning

Danish Khan, Alastair J. A. Price, Bing Huang, Maximilian L. Ach, O. Anatole von Lilienfeld

Open source

DOI: 10.1126/sciadv.adt7769
Published: 2025-01-31
Container: Science Advances
Publisher: American Association for the Advancement of Science (AAAS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1126/sciadv.adt7769,
  title = {Adapting hybrid density functionals with machine learning},
  author = {Danish Khan and Alastair J. A. Price and Bing Huang and Maximilian L. Ach and O. Anatole von Lilienfeld},
  year = {2025},
  journal = {Science Advances},
  doi = {10.1126/sciadv.adt7769},
  url = {https://doi.org/10.1126/sciadv.adt7769}
}

RIS

TY  - JOUR
TI  - Adapting hybrid density functionals with machine learning
AU  - Danish Khan
AU  - Alastair J. A. Price
AU  - Bing Huang
AU  - Maximilian L. Ach
AU  - O. Anatole von Lilienfeld
PY  - 2025
JO  - Science Advances
DO  - 10.1126/sciadv.adt7769
UR  - https://doi.org/10.1126/sciadv.adt7769
ER  -

APA

Khan, D., Price, A. J. A., Huang, B., Ach, M. L., & Lilienfeld, O. A. V. (2025). Adapting hybrid density functionals with machine learning. Science Advances. https://doi.org/10.1126/sciadv.adt7769

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crossref · retrieved 2026-11-10T06:06:06.745Z