Harikrishnan Kumarasamy

AI/ML-Assisted Inverse Alloy Design of Multi-Principal Element Alloys for High-Temperature Energy Systems: Comparative Tree Ensembles and Deep Neural-Network Surrogates

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-error exploration. This work develops a repr...