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Updated: Feb 19, 2026

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ボルツマン伝送を超えて:機械学習ポテンシャルによる格子熱伝導性のグリーン・キューボ予測

Xiaoying Zhang1, Ning Liu2, Qian Guo2

  • 1College of Information Engineering, Yantai Institute of Technology, Yantai 264003, People's Republic of China.

The Journal of chemical physics
|February 17, 2026
PubMed
まとめ

Rb2ZnTeの超低熱伝導性は,強いアンハーモニシティとコヒーレンス効果から生じる. この研究は,低熱伝導性の新しい熱電気材料の設計のための枠組みを提供します.

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