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Derivative discontinuity with localized Hartree-Fock potential
1Research Center for Applied Sciences, Academia Sinica, Taipei 11529, Taiwan.
The localized Hartree-Fock potential now accurately handles fractional particle numbers, yielding essential energy derivative discontinuities. This computationally efficient method offers a powerful tool for calculating fundamental gaps in quantum systems.
Area of Science:
- Quantum Chemistry
- Computational Physics
Background:
- The optimized effective potential (OEP) is accurate but computationally expensive.
- The localized Hartree-Fock (LHF) potential offers a computationally efficient alternative to OEP.
- LHF preserves numerical accuracy and key theoretical properties like self-interaction freedom.
Purpose of the Study:
- Extend the localized Hartree-Fock potential to systems with fractional particle numbers.
- Investigate the derivative discontinuities of the LHF potential in this extended regime.
- Assess the computational efficiency and accuracy of the extended LHF potential.
Main Methods:
- Extension of the localized Hartree-Fock potential formalism to accommodate fractional particle numbers.
- Numerical calculation of energy derivative discontinuities for systems with fractional electron counts.
- Comparison of LHF results with the computationally demanding Hartree-Fock method.
Main Results:
- The extended LHF potential successfully yields derivative discontinuities in energy, consistent with exact theory.
- These discontinuities are numerically comparable to those obtained via the full Hartree-Fock method.
- The LHF potential exhibits a 'direct-energy' property, simplifying energy calculations.
- A specific condition relating spin-component discontinuities (c↑N↑ + c↓N↓ = 0) was identified.
Conclusions:
- The localized Hartree-Fock potential is effectively extended to fractional particle numbers.
- This extension maintains accuracy and computational efficiency, making it a valuable tool.
- The LHF potential's ability to capture derivative discontinuities is crucial for applications involving fundamental gaps.
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