SOURCE-LINKED INTELLIGENCE
Nonadiabatic Excited-State Dynamics with Quantum Monte Carlo-Trained Machine Learning: Azomethane as a Stringent Test
Journal of Chemical Theory and Computation · Machine Learning in Materials Science · University of Twente
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- recordType
- paper
- evidenceStatus
- metadata-reported
- region
- Global
Evidence & attribution
- OpenAlex research metadata · 2026-09-23T00:00:00.000Z
Research metadata: OpenAlex (CC0). Original paper rights remain with its publisher.
First collected: 2026-09-24T16:13:45.287Z. This is not the publication date.
Research metadata
OpenAlex record ↗ · Metadata licensed CC0; paper rights are separate.
- Citations reported by OpenAlex
- 0
- Authors
- Alfonso Annarelli; E. Slootman; Claudia Filippi
- Affiliations
- University of Twente (NL)
- Topic
- Machine Learning in Materials Science
- Venue
- Journal of Chemical Theory and Computation
- Publication type
- article
- Retraction flag reported by OpenAlex
- Not flagged
Citation count and retraction flag reported by OpenAlex. Citations are not a quality score; affiliation countries are not study locations.