A benchmark of physical properties of the organic solid state for crystal structure prediction by COST Action BEST-CSP

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-07-20
Primary Topic
Machine Learning in Materials Science
Type
article
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article

A benchmark of physical properties of the organic solid state for crystal structure prediction by COST Action BEST-CSP

SPIRE - Sciences Po Institutional REpository
Machine Learning in Materials Science
article

A benchmark of physical properties of the organic solid state for crystal structure prediction by COST Action BEST-CSP

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 57%
Machine Learning in Materials Science
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A benchmark of physical properties of the organic solid state for crystal structure prediction by COST Action BEST-CSP · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS