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Updated: Jun 3, 2025

Asymmetric Thermoelectrochemical Cell for Harvesting Low-grade Heat under Isothermal Operation
09:09

Asymmetric Thermoelectrochemical Cell for Harvesting Low-grade Heat under Isothermal Operation

Published on: February 5, 2020

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释放离子热电材料的新可能性:机器学习的视角

Yidan Wu1, Dongxing Song2, Meng An3

  • 1Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China.

National science review
|January 7, 2025
PubMed
概括

研究人员开发了一种机器学习模型来预测离子热电 (i-TE) 材料的Seebeck系数,加速了用于废热回收和热传感应用的新材料的发现.

关键词:
可以解释的分析分析.离子热电材料是离子热电材料.机器学习是机器学习.热电转换是一种热电转换.

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