BWhat changed
Optimized antisymmetric neural-network wavefunctions with variational Monte Carlo to calculate electronic energies for tested atoms and molecules.
Scientific scope
Optimized antisymmetric neural-network wavefunctions with variational Monte Carlo to calculate electronic energies for tested atoms and molecules. Scope limitation: These are approximate computational results for specified systems, not a general exact solution of the many-electron Schrödinger equation.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. These are approximate computational results for specified systems, not a general exact solution of the many-electron Schrödinger equation.
Contributors
- David Pfau · SCIENCE: Named source contributor; exact labor shares are not measured.
- James S. Spencer · SCIENCE: Named source contributor; exact labor shares are not measured.
- Alexander G. D. G. Matthews · SCIENCE: Named source contributor; exact labor shares are not measured.
- W. M. C. Foulkes · SCIENCE: Named source contributor; exact labor shares are not measured.
- The systems documented in the research record · EXECUTION: Source-reported system assistance within this scope; no provider attestation or independent agency is inferred.
- Ab initio solution of the many-electron Schrödinger equation with deep neural networks
- Ab initio solution of the many-electron Schrödinger equation with deep neural networks — deposited bibliography
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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