Machine-learning-assisted discovery of 212-Zintl-phase compounds with ultra-low lattice thermal conductivity
Author:
Affiliation:
1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing, 100081, China
2. Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing 100081, China
Abstract
Funder
China Postdoctoral Science Foundation
National Key Research and Development Program of China
Beijing Institute of Technology Research Fund Program for Young Scholars
Natural Science Foundation of Beijing Municipality
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2024/TA/D3TA05690B
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