GradDFT. A software library for machine learning enhanced density functional theory

  1. Casares, P.A.M.
  2. Baker, J.S.
  3. Medvidović, M.
  4. Reis, R.D.
  5. Arrazola, J.M.
Zeitschrift:
Journal of Chemical Physics

ISSN: 1089-7690,  0021-9606

Datum der Publikation: 2024

Ausgabe: 160

Nummer: 6

Art: Artikel

DOI: 10.1063/5.0181037 GOOGLE SCHOLAR lock_openOpen Access editor
Datenquelle: Scopus