Machine learning based feature engineering for thermoelectric materials by design

Availability of material datasets through high performance computing has enabled the use of machine learning to not only discover correlations and employ materials informatics to perform screening, but also to take the first steps towards materials by design. Computational materials databases are we...

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Bibliographic Details
Main Authors: Vaitesswar, U. S., Bash, Daniil, Huang, Tan, Recatala-Gomez, Jose, Deng, Tianqi, Yang, Shuo-Wang, Wang, Xiaonan, Hippalgaonkar, Kedar
Other Authors: School of Materials Science and Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/174884
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Institution: Nanyang Technological University
Language: English

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