2023/10/06 by Zi‐Kui Liu, Liu, Zi-Kui
Materials Science · Physics and Astronomy · #Advanced Thermoelectric Materials and Devices #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Superconductivity in MgB2 and Alloys
paper · pdf · doi:10.48550/arxiv.2310.04279
openalex publication_date 2023/10/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Density functional theory (DFT) is the de facto approach for predicting self-consistent-field electronic structures of ground-state configurations of complex atoms, molecules, and solids and providing their property data for materials discovery and design. This capability is greatly enabled by the generalized gradient approximation for exchange-correlation interactions with an important set of exchange-correlation functionals developed by John Perdew and his collaborators in last several decades. The scientific community and the present author's group have greatly benefited from this capability. Over the years, the present author's group has integrated the energetics from DFT-based calculations both at zero K and finite temperature into thermodynamic modeling and developed methods to predict tracer diffusivity, elastic coefficients, interfacial energy, and a number of other properties related to the derivatives of free energy. One key outcome is the accurate prediction of free energy of a system through the consideration of both ground-state and stable symmetry-breaking non-ground-state configurations. It is articulated that phonon properties of all individual configurations can be accurately calculated by quasiharmonic approximations in the temperature and volume ranges of interest, and the emergent behaviors and anharmonicity of a system originate primarily from the statistical competition among all the configurations.