Descriptor-Enabled Rational Design of High-Entropy Materials Over Vast Chemical Spaces
Dibyendu Dey, Liangbo Liang, and Liping Yu

TL;DR
This paper introduces a new descriptor, MEED, for rationally designing high-entropy materials by focusing on formation enthalpy and defect-based entropy measures, enabling efficient screening of stable and synthesizable compounds.
Contribution
The work presents a novel, first-principles-based descriptor (MEED) that predicts high-entropy material stability and synthesizability across vast chemical spaces.
Findings
MEED accurately identifies known high-entropy materials.
A universal cutoff criterion for synthesizability is established.
Predicted new high-entropy carbides and sulfides with potential applications.
Abstract
The practically unlimited high-dimensional composition space of high-entropy materials (HEMs) has emerged as an exciting platform for functional materials design and discovery. However, the identification of stable and synthesizable HEMs and robust design rules remains a daunting challenge due to the difficulty in determining composition/structure-specific enthalpy and entropy contributions to the stability and formation of HEMs. In this work, using first-principles calculations, we find that (i) the stability and miscibility of HEMs strongly depend on the formation enthalpy of the HEM relative to the most stable completing phase rather than on the conventionally-viewed enthalpies of mixing over all possible competing phases, and (ii) the entropy forming ability of a HEM can be measured from the defect formation energy spectrum of tens of substitutional defects in ordered binary…
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Taxonomy
TopicsHigh Entropy Alloys Studies · Machine Learning in Materials Science · Advanced Materials Characterization Techniques
