AI/ML-Assisted Inverse Alloy Design of Multi-Principal Element Alloys for High-Temperature Energy Systems: Comparative Tree Ensembles and Deep Neural-Network Surrogates
Harikrishnan Kumarasamy · Journal of Energy Research and Reviews · 2026
High-temperature energy systems require structural materials that retain strength while preserving sufficient deformation capacity under thermal exposure. The compositional design space of multi-principal element alloys (MPEAs) is, however, too large for exhaustive trial-and-erro...
Open access
Research Article
10.9734/jenrr/2026/v18i10543