Work

Incorporating Scientific Knowledge into Neural Network Density Functionals

Year: 2026

Type: article

Source: Journal of Chemical Theory and Computation

DOI: 10.1021/acs.jctc.6c00270

Authors: Mark Yu. Schneider, Danis U. Zaripov, Roman Yu. Dokin, Alexander A. Ryabov, Timofey V. Losev, Michael G. Medvedev

Institutions: Russian Academy of Sciences, Lomonosov Moscow State University, N.D. Zelinsky Institute of Organic Chemistry, National Research University Higher School of Economics

Language: English

Topic: Advanced Chemical Physics Studies

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funder: Russian Science Foundation

Award: G1565027426

OpenAlex ID: W7156933441

FWCI:

Cites: 53

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