Deep learning for thermoelectric property prediction: A data-informed approach to skutterudites

Victor Posligua, Karina Landivar, Gerda Rogl, Peter F. Rogl, Jose J. Plata, Antonio M. Marquez

Keywords: Deep learning, Figure of merit, Thermoelectric materials, Skutterudites

TL;DR: This study develops a deep learning framework to predict the thermoelectric figure of merit (zT) in skutterudites using experimental data, achieving high accuracy and uncovering meaningful composition-property relationships.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 38