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Updated: Mar 13, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
A new embedded-atom method approach based on the pth moment approximation.
Kun Wang1, Wenjun Zhu, Shifang Xiao
1College of Materials Science and Engineering, Hunan University, Changsha 410082, People's Republic of China. Laboratory for Shock Wave and Detonation Physics, Institute of Fluid Physics, Mianyang 621900, People's Republic of China. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, People's Republic of China.
Developing new interatomic potentials is crucial for atomistic simulations. This study introduces a novel Embedded-Atom Model (EAM) potential with fewer parameters and improved accuracy for materials simulations.
Area of Science:
- Materials Science
- Computational Physics
- Condensed Matter Physics
Background:
- Atomistic simulations are vital in science and engineering.
- Developing accurate and efficient interatomic potentials is a key challenge.
- Existing potential models often require numerous fitting parameters, limiting physical interpretability.
Purpose of the Study:
- To propose a novel Embedded-Atom Method (EAM) potential model.
- To reduce the number of fitting parameters (FPs) while maintaining or improving accuracy.
- To enhance the physical reasonableness and transferability of interatomic potentials.
Main Methods:
- Developed a new many-body term for EAM potentials based on pth moment approximation to tight-binding theory.
- Incorporated an energy modification term using pairwise interactions evaluated via an analytic-numerical scheme.
- Constructed and compared three aluminum EAM potentials with a standard model.
Main Results:
- The new EAM potential for aluminum demonstrated fewer fitting parameters and a smaller cutoff distance without sacrificing precision.
- Identified a relationship between a key EAM empirical parameter and the effective order of moments of the local density of states.
- The proposed model simplifies parameterization by making some physical quantities uniquely dependent on the reference database.
Conclusions:
- The novel EAM potential offers a more physically grounded and efficient approach to interatomic potential development.
- The findings suggest avenues for further improving EAM potential accuracy through refined approximations to tight-binding theory.
- This work contributes to the faster generation of high-quality interatomic potentials for large-scale simulations.
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