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Published on: May 27, 2020
Semilocal density functional obeying a strongly tightened bound for exchange
Jianwei Sun1, John P Perdew2, Adrienn Ruzsinszky1
1Departments of Physics and.
Density functional theory (DFT) is improved with a new meta-generalized gradient approximation (meta-GGA) called MVS. This exchange functional respects optimal bounds, enhancing thermochemical properties and molecular interactions.
Area of Science:
- Physics
- Materials Science
- Chemistry
Background:
- Density functional theory (DFT) is crucial for electronic structure calculations.
- Approximating the exchange-correlation energy is a key challenge in DFT.
- Exact constraints guide the development of accurate DFT functionals.
Purpose of the Study:
- To introduce a new meta-generalized gradient approximation (meta-GGA) for exchange, termed meta-GGA made very simple (MGGA-MVS).
- To develop an exchange functional that satisfies a recently proven optimal bound for exchange energy.
- To evaluate the performance of MGGA-MVS in predicting thermochemical properties and molecular interactions.
Main Methods:
- Developed the meta-GGA made very simple (MGGA-MVS) exchange functional.
- Ensured the MGGA-MVS functional respects the optimal bound on exchange energy.
- Hybridized the nonempirical MGGA-MVS meta-GGA with 25% exact exchange.
Main Results:
- The MGGA-MVS functional satisfies a strong, optimal lower bound on exchange energy, a feat not achieved by previous beyond-local spin-density approximation (LSDA) functionals.
- Despite the tight constraint, MGGA-MVS improved predicted thermochemical properties compared to the Perdew-Burke-Ernzerhof (PBE) GGA.
- The exchange enhancement factor in MVS exhibits a strong dependence on the orbital kinetic energy density.
- Hybridizing MVS with exact exchange yielded excellent predictions for atomization energies, reaction barriers, and weak molecular interactions.
Conclusions:
- The MGGA-MVS meta-GGA represents a significant advancement in DFT, offering improved accuracy through adherence to fundamental constraints.
- The strong dependence on orbital kinetic energy density is key to MVS's success.
- Hybrid global functionals based on MVS show great promise for accurate molecular property predictions.
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