Expressivity of Determinantal Ansatzes for Neural Network Wave Functions
Ni Zhan, Ryan Prescott Adams, Gil Goldshlager, Elif Ertekin et al.
Journal
Journal of Chemical Theory and Computation
Topics
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.
Publication Tag
Journal of Chemical Theory and ComputationVol. 21(19)
Institutions
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)
Ask Laika to Summarize, Analyze, and Connect papers live on the map.
Summarize Papers & Methodologies
Extract key findings, datasets, and comparative methods across publications.
Benchmark Rankings & Visual Analytics
Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.
Connect Distant Disciplines
Bridge topological clusters on the map to find hidden collaborative intersections.
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