Self-consistent polarization density functional theory: application to argon.

Area of Science:

• Computational physics and chemistry
• Quantum mechanics
• Materials science

Background:

• Accurate modeling of weak interactions is crucial for understanding molecular and material properties.
• Traditional methods often struggle with polarization and dispersion forces in complex systems.
• Argon serves as a benchmark system for evaluating theoretical models of interatomic forces.

Purpose of the Study:

• To comprehensively evaluate the performance of self-consistent polarization density functional theory (SCP-DFT) for argon.
• To assess SCP-DFT's accuracy in predicting various physical properties related to weak interactions.
• To determine the potential of SCP-DFT for ab initio dynamics of large, complex systems.

Main Methods:

• Application of self-consistent polarization density functional theory (SCP-DFT) to argon.
• Minimal parametrization of the SCP-DFT method.
• Comparison of SCP-DFT results with accurate theoretical and experimental data.

Main Results:

• SCP-DFT achieved excellent agreement for argon's dimer interaction energy.
• Accurate prediction of the second virial coefficient using SCP-DFT.
• Successful modeling of argon's liquid structure and face-centered cubic crystal properties (lattice constant, cohesion energy).

Conclusions:

• SCP-DFT provides highly accurate results for argon with minimal parametrization.
• The method demonstrates strong potential for ab initio dynamics, capturing polarization and dispersion interactions.
• SCP-DFT is a promising tool for studying large, complex systems, including solvation and bond-breaking processes.