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Machine learning potentials in studying phononic and thermal properties of germanium telluride

Germanium telluride (GeTe) is an important functional material that has been attracting extensive research attention. Challenges such as phase transition processes and crystallization of amorphous GeTe cannot yet be accurately calculated using ab initio molecular dynamics because of the time limitat...

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Detalhes bibliográficos
Main Authors: Jian Zhang, Zhuo Zhao, Yuan Zhang, Yongjun Huo, Aijun Hou, Haochun Zhang, Gang Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: AIP Publishing LLC 2025-10-01
Colecção:AIP Advances
Acesso em linha:https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0294385/20751175/100702_1_5.0294385.pdf
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