A Fast and Robust Method for Predicting the Phase Stability of Refractory Complex Concentrated Alloys using Pairwise Mixing Enthalpy
Zhaohan Zhang, Mu Li, John Cavin, Katharine Flores, Rohan Mishra

TL;DR
This paper introduces a first-principles-based, high-throughput model to predict the phase stability of refractory complex concentrated alloys, validated by experiments and capable of screening thousands of compositions efficiently.
Contribution
The authors develop a novel thermodynamic model using DFT data to accurately predict phase stability in RCCAs, enabling rapid screening of over 20,000 compositions.
Findings
Model accurately predicts stability of NbTiZr, NbTiZrV, NbTiZrVM systems.
Predictions align with experimental observations.
Method accelerates discovery of new RCCAs.
Abstract
The ability to predict the composition- and temperature-dependent stability of refractory complex concentrated alloys (RCCAs) is vital to the design of high-temperature structural alloys. Here, we present a model based on first-principles calculations to predict the thermodynamic stability of multicomponent equimolar solid solutions in a high-throughput manner and apply it to screen over 20,000 compositions. We develop a database that contains pairwise mixing enthalpy of 17 refractory metals using density-functional theory (DFT)-based total energy calculations. To these, we fit thermodynamic solution models that can accurately capture the mixing enthalpy of multicomponent BCC solid solutions. By comparing their energy with DFT-calculated enthalpy of intermetallics from the Materials Project database and using convex hull analyses, we identify the stable phase of any RCCA as a function…
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Taxonomy
Topicsnanoparticles nucleation surface interactions · Advanced Materials Characterization Techniques · Intermetallics and Advanced Alloy Properties
