Artificial neural networks for the kinetic energy functional of non-interacting fermions-Reference-Cited by-同舟云学术

Artificial neural networks for the kinetic energy functional of non-interacting fermions

Published:2021-02-21 Issue:7 Volume:154 Page:074107
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Ghasemi S. Alireza¹^ORCID,Kühne Thomas D.¹^ORCID

Affiliation:

1. Dynamics of Condensed Matter and Center for Sustainable Systems Design, Chair of Theoretical Chemistry, Paderborn University, Warburger Str. 100, D-33098 Paderborn, Germany

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0037319

Reference41 articles.

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2. M. Amsler, Handbook of Materials Modeling: Applications: Current and Emerging Materials (Springer, Cham, 2020), pp. 2791–2810.

3. Self-Consistent Equations Including Exchange and Correlation Effects

4. Nearsightedness of electronic matter

5. Linear scaling electronic structure methods

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