Machine learning in thermoelectric materials identification: Feature selection and analysis-Reference-Cited by-同舟云学术

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Machine learning in thermoelectric materials identification: Feature selection and analysis

Published:2021-09 Issue: Volume:197 Page:110625
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Xu Yijing,Jiang Lu,Qi Xiang

Funder

Scientific Research Foundation of Hunan Provincial Education Department

Ministry of Education of the People's Republic of China

Program for Changjiang Scholars and Innovative Research Team in University

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference45 articles.

1. Complex thermoelectric materials;Snyder;Nat. Mater.,2008

2. Cooling, heating, generating power, and recovering waste heat with thermoelectric systems;Bell;Science,2008

3. Thickness effects for thermoelectric property of antimony telluride nanoplatelets via solvothermal method;Yan;Sci. Rep.,2016

4. Dramatically improving thermoelectric performance of topological half-Heusler compound LuPtSb via hydrostatic pressure;Huang;J. Mater. Chem. A,2018

5. TE design lab: a virtual laboratory for thermoelectric material design;Gorai;Comp. Mater. Sci.,2016

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4. Towards tailored thermoelectric materials: An artificial intelligence-powered approach to material design;Physica B: Condensed Matter;2024-07

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