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Multicomponent density functional theory: Including the density gradient in the electron-proton correlation
Zhen Tao1, Yang Yang1, Sharon Hammes-Schiffer1
1Department of Chemistry, Yale University, 225 Prospect Street, New Haven, Connecticut 06520, USA.
A new electron-proton correlation functional (epc19) improves quantum chemistry calculations by accurately describing proton densities and energies. This method enhances the understanding of nuclear quantum effects and isotope impacts in various systems.
Area of Science:
- Quantum Chemistry
- Computational Physics
- Materials Science
Background:
- Multicomponent density functional theory (DFT) offers advantages for including nuclear quantum effects.
- The nuclear-electronic orbital (NEO) framework treats nuclei and electrons quantum mechanically.
- Previous functionals (epc17, epc18) improved accuracy but lacked simultaneous precision in densities and energies.
Purpose of the Study:
- To develop a novel electron-proton correlation functional for enhanced accuracy in quantum chemistry.
- To simultaneously achieve accurate proton densities and energies within the NEO-DFT framework.
- To investigate the impact of nuclear quantum effects on molecular geometries.
Main Methods:
- Derivation and implementation of a generalized gradient approximation (GGA) functional, epc19.
- Dependence of epc19 on electron and proton density gradients and densities.
- Application of the NEO-DFT/epc19 method to hydrogen and deuterium systems.
Main Results:
- The epc19 functional accurately predicts both proton densities and energies simultaneously.
- It reproduces the influence of nuclear quantum effects on optimized molecular geometries.
- NEO-DFT/epc19 provides accurate results for both hydrogen and deuterium without further parameterization.
Conclusions:
- The epc19 functional effectively captures key aspects of electron-proton correlation, highlighting the importance of gradient terms.
- This advancement enables more comprehensive studies of nuclear quantum effects and isotope effects.
- The developed method opens new avenues for exploring diverse chemical and physical systems.
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