Artificial Intelligence Guided Thermoelectric Materials Design and Discovery

Artificial Intelligence Guided Thermoelectric Materials Design and Discovery

Abstract Materials discovery from the infinite earth repository is a major bottleneck for revolutionary technological progress. This labor‐intensive and time‐consuming process hinders the discovery of new materials. Although machine learning techniques show an excellent capability for speeding up ma...

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Bibliographic Details
Main Authors: Guangshuai Han, Yixuan Sun, Yining Feng, Guang Lin, Na Lu
Format: Article
Language:English
Published: Wiley-VCH 2023-08-01
Series:Advanced Electronic Materials
Subjects:
data‐driven materials discovery
machine learning
sensitivity analysis
thermoelectrics
Online Access:https://doi.org/10.1002/aelm.202300042

Internet

https://doi.org/10.1002/aelm.202300042

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