Result: Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

*Title*:

Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach / Alejandro Rodriguez, Changpeng Lin, Chen Shen, Kunpeng Yuan, Mohammed Al-Fahdi, Xiaoliang Zhang, Hongbin Zhang, Ming Hu

*Author/editor-in-chief*:

Rodriguez, Alejandro (Verfasser); Lin, Changpeng (Verfasser); Shen, Chen (Verfasser) ; Yuan, Kunpeng (Verfasser); Al-Fahdi, Mohammed (Verfasser); Zhang, Xiaoliang (Verfasser); Zhang, Hongbin (Verfasser) ; Hu, Ming (Verfasser)

*Published in*:

Communications materials. - London : Springer Nature, 2020-. - Online-Ressource. - ISSN 2662-4443. - Band 4, Heft 1 (2023), Artikel-ID: 61
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*Publication*:

London : Springer Nature, 2023

*Format*:

*eArticle*

*Language*:

*eng*

*Notes*:

kostenfrei

*DOI*:

10.1038/s43246-023-00390-3

*oa_rights*:

Open Access
CC BY 4.0

*Result*: Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

*Additional information*

*Additional functions*

Result: Unlocking phonon properties of a large and diverse set of cubic crystals by indirect bottom-up machine learning approach

Additional information

Additional functions