# Correcting AI's Role in Thermoelectric Materials Hunt

**URL:** <https://community.materialssquare.com/t/correcting-ais-role-in-thermoelectric-materials-hunt/45>\
**Category:** News\
**Created:** [March 25, 2024, 2:55pm UTC](https://community.materialssquare.com/t/correcting-ais-role-in-thermoelectric-materials-hunt/45 "2024-03-25T14:55:07Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![gabriele1](https://yyz1.discourse-cdn.com/flex003/user_avatar/community.materialssquare.com/gabriele1/32/20_2.png) [@gabriele1](https://community.materialssquare.com/u/gabriele1)\
**Post date:** [March 25, 2024, 2:55pm UTC](https://community.materialssquare.com/t/correcting-ais-role-in-thermoelectric-materials-hunt/45/1 "2024-03-25T14:55:07Z")

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A team at Tohoku University utilized AI to identify promising thermoelectric materials, addressing common AI pitfalls in the process. Their work, which focused on enhancing the accuracy of predicting temperature-dependent properties, led to the identification of a thermoelectric material with potential benefits. By rigorously cleaning and preprocessing data, and implementing a novel cross-validation method, they were able to predict the performance of new materials with high accuracy, demonstrating AI’s potential in accelerating materials science research. For more information, you can read the full article on Mirage News:

> **[Correcting AI's Role in Thermoelectric Materials Hunt](https://www.miragenews.com/correcting-ais-role-in-thermoelectric-materials-1202036/)**
>
> Using AI, a team of researchers has identified a thermoelectric material that potentially possesses favorable values. The group was able to navigate