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A high-throughput framework for lattice dynamics

delete2024-11-14
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OA
AI
朱
朱濯缨 (Zhuoying Zhu)
J
Junsoo Park
H
Hrushikesh Sahasrabuddhe
A
Alex M. Ganose
R
Rees Chang
J
John W. Lawson
A
Anubhav Jain *
DOI:10.1038/s41524-024-01437-wdelete
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摘要

摘要

En 中文
We develop an automated high-throughput workflow for calculating lattice dynamical properties from first principles including those dictated by anharmonicity. The pipeline automatically computes interatomic force constants (IFCs) up to 4th order from perturbed training supercells, and uses the IFCs to calculate lattice thermal conductivity, coefficient of thermal expansion, and vibrational free energy and entropy. It performs phonon renormalization for dynamically unstable compounds to obtain real effective phonon spectra at finite temperatures and calculates the associated free energy corrections. The methods and parameters are chosen to balance computational efficiency and result accuracy, assessed through convergence testing and comparisons with experimental measurements. Deployment of this workflow at a large scale would facilitate materials discovery efforts toward functionalities including thermoelectrics, contact materials, ferroelectrics, aerospace components, as well as general phase diagram construction.
Keyword:
THERMAL-EXPANSION COEFFICIENT
STRUCTURAL PHASE-TRANSITION
INITIO MOLECULAR-DYNAMICS
TEMPERATURE
TRANSPORT
ZIRCONIA
METALS
ALLOYS

期刊

npj Computational Materials 封面图
npj Computational Materials
IF:
11.9
论文数:
2.4K
被引数:
1.7W

机构

U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
引用论文

引用论文

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