A Polarizable and Transferable PHAST N2 Potential for Use in Materials Simulation
Christian R Cioce1, Keith McLaughlin1, Jonathan L Belof2
1Department of Chemistry, University of South Florida , 4202 E. Fowler Ave., CHE205, Tampa, Florida 33620-5250, United States.
A new polarizable potential energy function for molecular nitrogen (N2) enhances accuracy and speed for modeling heterogeneous processes like material sorption and separations. This PHAST potential accurately represents N2 interactions across gas, liquid, and solid phases.
Area of Science:
- Computational Chemistry
- Materials Science
- Chemical Physics
Background:
- Accurate modeling of molecular nitrogen (N2) is crucial for understanding heterogeneous processes.
- Existing intermolecular potentials often lack the required accuracy, speed, or transferability for complex environments.
Purpose of the Study:
- To develop a polarizable and transferable intermolecular potential energy function for N2.
- To create a model suitable for simulating heterogeneous processes, including sorption and separations.
- To ensure the potential's efficacy across gas, liquid, and solid phases of nitrogen.
Main Methods:
- Development of a five-site anisotropic model including many-body polarization.
- Parametrization using high-level electronic structure calculations (CCSD(T)/CBS).
- Inclusion of a slip-parallel dimer orientation to improve potential energy surface transferability.
- Validation through simulations of trimers, bulk phases (pressure-density isotherms), and solid phases (crystal parameters and energetics).
Main Results:
- The developed PHAST potential demonstrates high accuracy, speed, and transferability.
- Waldman-Hagler mixing rules were found to be more accurate than Lorentz-Berthelot for N2 interactions.
- The potential accurately models N2 in various environments, including metal-organic frameworks, zeolites, and interfaces.
- Simulations show good agreement with experimental data for gas, liquid, and solid N2 phases.
Conclusions:
- The PHAST potential provides a robust and broadly applicable representation of nitrogen.
- Accounting for diverse configurations, including slip-parallel orientations, is critical for transferability in heterogeneous systems.
- The developed potential is effective for modeling N2 across a wide range of conditions and applications.
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