Accurate prediction of chemical short-range order and its effect on thermodynamic, structural, and electronic properties of disordered alloys: exemplified in Cu$_{3}$Au
Will Morris, Duane D. Johnson, Prashant Singh

TL;DR
This study uses density-functional theory to accurately predict chemical short-range order in Cu$_{3}$Au alloys and examines its impact on thermodynamic, structural, and electronic properties, enabling better material design.
Contribution
It introduces a DFT-based method to predict SRO and its electronic origins, improving accuracy over traditional approaches and facilitating large-scale simulations.
Findings
Thermodynamically favorable SRO enhances phase stability.
SRO influences bonding, lattice dynamics, and electronic properties.
Predicted SRO parameters and transition temperatures match experimental data.
Abstract
Electronic-structure methods based on density-functional theory (DFT) were used to directly quantify the effect of chemical short-range order (SRO) on thermodynamic, structural, and electronic properties of archetypal face-centered-cubic (fcc) CuAu alloy. We show that SRO can be tuned to alter bonding and lattice dynamics (i.e., phonons) and detail how these properties are changed with SRO. Thermodynamically favorable SRO improves phase stability of CuAu from -0.0343 eV-atom to -0.0682 eV-atom. We use DFT-based linear-response theory to predict SRO and its electronic origin, and accurately estimate the transition temperature, ordering instability (L1), and Warren-Cowley SRO parameters, observed in experiments. The accurate prediction of real-space SRO gives an edge over computationally and resource intensive approaches such as Monte-Carlo methods or…
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Taxonomy
Topicsnanoparticles nucleation surface interactions · Surface and Thin Film Phenomena · Advanced Materials Characterization Techniques
