関連する実験動画

Updated: Sep 9, 2025

Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
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Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics

Published on: August 30, 2024

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機械学習による高性能Mgベースの熱電学的設計:熱膨張効果の洞察

Da Wan1, Shulin Bai2, Sirui Fan1

  • 1School of Materials Science and Engineering, Beihang University, Beijing 100191, China; State Key Laboratory of Artificial Intelligence for Material Science, Beihang University, Beijing 100191, China; Tianmushan Laboratory, Hangzhou 311115, China.

Science bulletin
|September 2, 2025
PubMed
まとめ

熱膨張は,熱伝導性を低下させ,シーベック係数を増加させることで,Mgベースの熱電気材料を大幅に強化します. 機械学習モデルは 環境にやさしい素材の発見を加速します

キーワード:
機械学習マグネス基の熱電器熱膨張制御

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