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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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
AIP Publishing LLC
2025-10-01
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| Serie: | AIP Advances |
| Accesso online: | https://pubs.aip.org/aip/adv/article-pdf/doi/10.1063/5.0294385/20751175/100702_1_5.0294385.pdf |
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