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A Comparison of the Predictive Capabilities of the Embedded-Atom Method and Modified Embedded-Atom Method Potentials
Joseph R Vella1, Frank H Stillinger1, Athanassios Z Panagiotopoulos1
1†Department of Chemical and Biological Engineering, and ‡Department of Chemistry, Princeton University, Princeton, New Jersey 08544, United States.
Researchers evaluated six embedded-atom model potentials for lithium using molecular dynamics simulations. The Cui modified embedded-atom method potential demonstrated the most reliable predictions for coexistence properties and liquid structure.
Area of Science:
- Materials Science
- Computational Physics
- Chemical Engineering
Background:
- Accurate interatomic potentials are crucial for simulating material properties.
- Embedded-atom model (EAM) potentials are widely used for metallic systems.
- Predicting lithium properties requires reliable potential models.
Purpose of the Study:
- To compare the predictive accuracy of six EAM-type lithium potentials.
- To evaluate potentials based on their ability to reproduce coexistence properties and liquid structure.
- To identify the most reliable potential for future simulations of lithium.
Main Methods:
- Molecular dynamics simulations were employed to study lithium.
- Six different embedded-atom model potentials were analyzed.
- Coexistence properties (melting curve, vapor pressure, saturated liquid density, surface tension) were calculated and compared to experimental data.
Main Results:
- The Cui second nearest-neighbor modified embedded-atom method potential showed the best overall agreement with experimental data.
- This potential accurately predicted saturated liquid densities without explicit fitting to liquid properties.
- The predicted zero-pressure melting point (443 K) was close to the experimental value (454 K).
Conclusions:
- The Cui modified EAM potential is the most reliable among the tested potentials for lithium.
- While generally accurate, improvements are still needed for specific properties like the melting curve slope.
- This study provides a benchmark for selecting accurate potentials for lithium simulations.
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