Lattice Thermal Conductivity of Monolayer InSe Calculated by Machine Learning Potential
Lattice Thermal Conductivity of Monolayer InSe Calculated by Machine Learning Potential
About this item
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Author / Creator
Han, Jinsen , Zeng, Qiyu , Chen, Ke , Yu, Xiaoxiang and Dai, Jiayu
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
The two-dimensional post-transition-metal chalcogenides, particularly indium selenide (InSe), exhibit salient carrier transport properties and evince extensive interest for broad applications. A comprehensive understanding of thermal transport is indispensable for thermal management. However, theoretical predictions on thermal transport in the InSe...
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Full title
Lattice Thermal Conductivity of Monolayer InSe Calculated by Machine Learning Potential
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TN_cdi_doaj_primary_oai_doaj_org_article_1932237eef974b7b81dda8e4552c173f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1932237eef974b7b81dda8e4552c173f
Other Identifiers
ISSN
2079-4991
E-ISSN
2079-4991
DOI
10.3390/nano13091576
