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20202026
most citedGenerative deep learning as a tool for inverse design of high-entropy refractory alloys

52 citations · 167 across the 9 of their papers we have counts for

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cond-mat.mtrl-sci2026

Data-driven candidate structure ensemble generation beyond the convex hull with crystALL approach

Adam M. Krajewski, Ricardo Amaral, Jonathan W. Siegel +4

Real materials consist of multiple stable or metastable states under real-world conditions, existing as statistical ergodic ensembles of configurations rather than ideal crystals.…