Electronic manifolds for extrapolative alloy discovery

2026/01/01 by Pranoy Ray, Sayan Bhowmik, Phanish Suryanarayana +2
Engineering · Materials Science · Physics and Astronomy · #Additive Manufacturing Materials and Processes #High Entropy Alloys Studies #Machine Learning in Materials Science #cond-mat.mtrl-sci #physics.data-an

paper · pdf · doi:10.1039/d6dd00105j

published as Digital Discovery 2026

openalex publication_date 2026/01/01 · openalex created_date 2026/07/29 · openalex updated_date 2026/07/29 · arxiv created 2026/07/30 · arxiv updated 2026/07/31

Abstract

This study presents a computationally efficient framework for accelerated alloy discovery that uses the non-interacting electron density to capture intrinsic structure-property relationships in refractory high-entropy alloys (HEAs). Unlike state-of-the-art approaches...

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