BWhat changed
Combined a physics-informed wavefunction ansatz with learning and variational Monte Carlo to improve electronic-structure calculations.
Scientific scope
Combined a physics-informed wavefunction ansatz with learning and variational Monte Carlo to improve electronic-structure calculations. Scope limitation: Reported near-exact accuracy is scoped to tested systems; it does not remove general complexity or approximation limits.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. Reported near-exact accuracy is scoped to tested systems; it does not remove general complexity or approximation limits.
Contributors
- Jan Hermann · SCIENCE: Named source contributor; exact labor shares are not measured.
- Zeno Schätzle · SCIENCE: Named source contributor; exact labor shares are not measured.
- Frank Noé · 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.
- Deep-neural-network solution of the electronic Schrödinger equation
- Deep-neural-network solution of the electronic Schrödinger equation — deposited bibliography
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
Full scientific record · Browse contribution grades · Request a correction