Beyond trial and error: Integrating computation, processing, and AI to design high-entropy alloys

Designing structural high-entropy alloys (SHEAs) means solving a problem with an enormous number of moving parts: which combinations of composition and processing conditions will yield the phases, microstructures, and mechanical properties a given application demands? Because these alloys mix multiple principal elements in comparable proportions, that question spans length and time scales that no single experiment or model can cover on its own.

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