On-the-fly machine learning potential accelerated accurate prediction of lattice thermal conductivity of metastable silicon crystals-Reference-Cited by-同舟云学术

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On-the-fly machine learning potential accelerated accurate prediction of lattice thermal conductivity of metastable silicon crystals

Published:2023-03-29 Issue:3 Volume:7 Page:
ISSN:2475-9953
Container-title:Physical Review Materials
language:en
Short-container-title:Phys. Rev. Materials

Author:

Cui Chunfeng^ORCID,Zhang Yuwen^ORCID,Ouyang Tao^ORCID,Chen Mingxing^ORCID,Tang Chao,Chen Qiao^ORCID,He Chaoyu^ORCID,Li Jin^ORCID,Zhong Jianxin

Funder

National Natural Science Foundation of China

Natural Science Foundation for Distinguished Young Scholars of Hunan Province

Hunan Provincial Innovation Foundation for Postgraduate

Program for Changjiang Scholars and Innovative Research Team in University

Youth Science and Technology Talent Project of Hunan Province

Scientific Research Foundation of Education Bureau of Hunan Province

Publisher

American Physical Society (APS)

Subject

Physics and Astronomy (miscellaneous),General Materials Science

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevMaterials.7.033803/fulltext

Reference74 articles.

1. Advances in thermoelectric materials research: Looking back and moving forward

2. Progress in measurement of thermoelectric properties of micro/nano thermoelectric materials: A critical review

3. Flexible and insulating silicone rubber composites with sandwich structure for thermal management and electromagnetic interference shielding

4. Janus (BNNS/ANF)-(AgNWs/ANF) thermal conductivity composite films with superior electromagnetic interference shielding and Joule heating performances

5. Advances of thermal conductivity models of nanoscale silica aerogel insulation material

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