Predicting Crystal Structures and Ionic Conductivities in Li$_{3}$YCl$_{6-x}$Br$_{x}$ Halide Solid Electrolytes Using a Fine-Tuned Machine Learning Interatomic Potential

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Bibliographische Detailangaben
Hauptverfasser:	Böhm, Jonas, Champagne, Aurélie
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Materials Science Computational Physics
Online-Zugang:	Acceder al recurso
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