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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| 主要な著者: | , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
AIP Publishing LLC
2025-10-01
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| シリーズ: | AIP Advances |
| オンライン･アクセス: | https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0294385/20751175/100702_1_5.0294385.pdf |
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