AI RESEARCH
From Phase Prediction to Phase Design: A ReAct Agent Framework for High-Entropy Alloy Discovery
arXiv CS.AI
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ArXi:2603.11068v1 Announce Type: cross Discovering high-entropy alloy (HEA) compositions that reliably form a target crystal phase is a high-dimensional inverse design problem that conventional trial-and-error experimentation and forward-only machine learning models cannot efficiently solve.