VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials

Fuente: arXiv

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Bibliographic Details
Main Authors:	Gouvêa, Rogério Almeida, Rignanese, Gian-Marco
Format:	Preprint
Published:	2026
Subjects:	Materials Science Artificial Intelligence Machine Learning Computational Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.27685