Papers citing Materials Screening for the Discovery of New Half-Heuslers: Machine Learning versus ab Initio Methods
Unlocking Thermoelectric Potential: A Machine Learning Stacking Approach for Half-Heusler Alloys
ACS Applied Energy Materials · 2025
Vipin Kurian Elavunkel, Prahallad Padhan
Read original paper ↗ ·First-principles prediction of ferromagnetic half-Heusler LiMnTe for spintronic applications
RSC Advances · 2026
Thi Huynh Ho
Read original paper ↗ ·Enhancement of the Thermoelectricity in Half‐Heusler TaRuAs by Substitutional Doping
Annalen der Physik · 2026
Ghaith Nadhreen, Ridwan A. Ahmed, Yakubu Sani Wudil, Mohammed Ashraf Gondal, Abduljabar Alsayoud, Udo Schwingenschlögl
Read original paper ↗ ·Beyond predicted zT: Machine learning strategies for the experimental discovery of thermoelectric materials
Artificial Intelligence Chemistry · 2026
Shoeb Athar, Philippe Jund
Read original paper ↗ ·PNcsp+: A Periodic Number-Based Crystal Structure Prediction Method Enhanced by Machine Learning
Journal of Chemical Theory and Computation · 2026
Cem Oran, Riccarda Caputo, Pierre Villars, Adem Tekin
Read original paper ↗ ·