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人工智能在热电材料研究中的应用

王向东 计嘉琳 杨炯

集成技术2025,Vol.14Issue(6):1-17,17.
集成技术2025,Vol.14Issue(6):1-17,17.DOI:10.12146/j.issn.2095-3135.20250715001

人工智能在热电材料研究中的应用

The Application of Artificial Intelligence in the Research of Thermoelectric Materials

王向东 1计嘉琳 2杨炯3

作者信息

  • 1. 嘉兴大学 人工智能学院 嘉兴 314001
  • 2. 嘉兴大学 生物与化学工程学院 嘉兴 314001
  • 3. 上海大学 材料基因组工程研究院 上海 200444
  • 折叠

摘要

Abstract

Thermoelectric materials are a class of functional materials capable of directly converting thermal energy into electrical energy and vice versa.With advantages such as environmental friendliness,low-noise,high reliability,and ease of miniaturization,they demonstrate broad application prospects in various fields.However,conventional experimental and simulation approaches are often costly and time-consuming,posing great challenges to the development of high-performance materials.In recent years,artificial intelligence has demonstrated strong potential in the research and discovery of thermoelectric materials.This review summarizes the applications of artificial intelligence in predicting and optimizing thermoelectric transport properties,elucidates its transformative role in accelerating material discovery and performance enhancement,and further outlines the current challenges and future perspectives in this field.

关键词

人工智能/机器学习/热电材料/晶格热导率/功率因子

Key words

artificial intelligence/machine learning/thermoelectric materials/lattice thermal conductivity/power factor

分类

数理科学

引用本文复制引用

王向东,计嘉琳,杨炯..人工智能在热电材料研究中的应用[J].集成技术,2025,14(6):1-17,17.

基金项目

国家重点研发计划项目(2024YFF0505900) (2024YFF0505900)

国家自然科学基金项目(52172216,92163212,12404269) (52172216,92163212,12404269)

上海市白玉兰人才计划项目 ()

浙江省自然科学基金项目(LQN25A040015) This work is supported by National Key Research and Development Program of China(2024YFF0505900),National Natural Science Foundation of China(52172216,92163212,12404269),Shanghai Magnolia Talent Program,Zhejiang Provincial Natural Science Foundation of China(LQN25A040015) (LQN25A040015)

集成技术

2095-3135

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