Expressivity of Determinantal Ansatzes for Neural Network Wave Functions

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2025-09-17
DOI
https://doi.org/10.1021/acs.jctc.5c01243
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Expressivity of Determinantal Ansatzes for Neural Network Wave Functions

Ni Zhan, Ryan Prescott Adams, Gil Goldshlager, Elif Ertekin et al.
Journal of Chemical Theory and Computation
Advanced Chemical Physics Studies
article

Expressivity of Determinantal Ansatzes for Neural Network Wave Functions

Ni Zhan, Ryan Prescott Adams, Gil Goldshlager, Elif Ertekin, Lucas K. Wagner, William A. Wheeler
article en

Abstract

No abstract available for this paper.
Journal of Chemical Theory and ComputationVol. 21(19)
University of Vermont (US), University of Illinois Urbana-Champaign (US), Princeton University (US), Yukhnovskii Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine (UA), Toronto Metropolitan University (CA), University of California, Berkeley (US)
Openalex Percentile: Top 80%
Advanced Chemical Physics Studies
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Expressivity of Determinantal Ansatzes for Neural Network Wave Functions — Ni Zhan, Ryan Prescott Adams, et al. · Journal of Chemical Theory and Computation (2025) | TGRS Research Map | TGRS