Accurate coupled potential energy surfaces: transcending vibronic coupling with artificial neural networks

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SPIRE - Sciences Po Institutional REpository
Published
2024-11-08
Primary Topic
Machine Learning in Materials Science
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article
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article

Accurate coupled potential energy surfaces: transcending vibronic coupling with artificial neural networks

D. R. M. Williams
SPIRE - Sciences Po Institutional REpository
Machine Learning in Materials Science
article

Accurate coupled potential energy surfaces: transcending vibronic coupling with artificial neural networks

D. R. M. Williams
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Institut de Physique de Rennes (FR)
Affordable and clean energy
Openalex Percentile: Top 86%
Machine Learning in Materials Science
OpenAlex
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Accurate coupled potential energy surfaces: transcending vibronic coupling with artificial neural networks — D. R. M. Williams · SPIRE - Sciences Po Institutional REpository (2024) | TGRS Research Map | TGRS