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cond-mat.mtrl-sci2026★ 2 cited
Beyond Predicted ZT: Machine Learning Strategies for the Experimental Discovery of Thermoelectric Materials
Shoeb Athar, Philippe Jund
The discovery of high-performance thermoelectric (TE) materials for advancing green energy harvesting from waste heat is an urgent need in the context of looming energy crisis and…
cond-mat.mtrl-sci2026
Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics
Shoeb Athar, Adrien Mecibah, Philippe Jund
Machine learning (ML) can facilitate efficient thermoelectric (TE) material discovery essential to address the environmental crisis. However, ML models often suffer from poor exper…
cond-mat.mtrl-sci2025
Tackling dataset curation challenges towards reliable machine learning: a case study on thermoelectric materials
Shoeb Athar, Adrien Mecibah, Philippe Jund
Machine Learning (ML) driven discovery of novel and efficient thermoelectric (TE) materials warrants experimental TE datasets of high volume, diversity, and quality. While the larg…