Predicting crystal structures and ionic conductivity in mixed-halide solid electrolytes using machine learning potentials

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-04-08
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Predicting crystal structures and ionic conductivity in mixed-halide solid electrolytes using machine learning potentials

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

Predicting crystal structures and ionic conductivity in mixed-halide solid electrolytes using machine learning potentials

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Openalex Percentile: Top 60%
Machine Learning in Materials Science
OpenAlex
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Predicting crystal structures and ionic conductivity in mixed-halide solid electrolytes using machine learning potentials · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS