File Download

There are no files associated with this item.

Supplementary

Conference Paper: Anharmonic lattice dynamics of materials containing diffusive constituents: a computational study based on the machine learning potential

TitleAnharmonic lattice dynamics of materials containing diffusive constituents: a computational study based on the machine learning potential
Authors
Chen, Y
Issue Date7-Jul-2023
Persistent Identifierhttp://hdl.handle.net/10722/346106

 

DC FieldValueLanguage
dc.contributor.authorChen, Y-
dc.date.accessioned2024-09-10T00:30:30Z-
dc.date.available2024-09-10T00:30:30Z-
dc.date.issued2023-07-07-
dc.identifier.urihttp://hdl.handle.net/10722/346106-
dc.languageeng-
dc.relation.ispartof4th International Symposium on Negative Thermal Expansion and Related Materials (05/07/2023-07/07/2023, Padua)-
dc.titleAnharmonic lattice dynamics of materials containing diffusive constituents: a computational study based on the machine learning potential-
dc.typeConference_Paper-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats