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Driving Thermoelectric Optimization in AgSbTe2 via...
Preprint

Driving Thermoelectric Optimization in AgSbTe2 via Design of Experiments and Machine Learning

Abstract

Systemic optimization of thermoelectric materials is arduous due to their conflicting electrical and thermal properties. A strategy based on Design of

Authors

Pöhls J-H; Lo C-WT; MacIver M; Tseng Y-C; Mozharivskyj Y

Publication date

December 5, 2024

DOI

10.48550/arxiv.2412.04699

Preprint server

arXiv

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