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Kohn-Sham equations with functionals from the strictly-correlated regime: investigation with a spectral
Juri Grossi1, Ziad H Musslimani1,2, Michael Seidl1
1Department of Chemistry & Pharmaceutical Sciences and Amsterdam Institute of Molecular and Life Sciences (AIMMS), Faculty of Science, Vrije Universiteit, De Boelelaan 1083, 1081HV Amsterdam, The Netherlands.
We present a new spectral renormalization method to solve challenging Kohn-Sham equations in density functional theory. This approach successfully converges complex functionals, including the zero-point energy functional, for the first time.
Area of Science:
- Computational Physics
- Quantum Chemistry
- Materials Science
Background:
- Density Functional Theory (DFT) relies on Kohn-Sham (KS) equations, which are computationally intensive.
- Functionals based on the strictly-correlated electrons (SCE) regime pose convergence challenges.
- Solving KS equations for strong interactions requires advanced numerical methods.
Purpose of the Study:
- To adapt a spectral renormalization method from nonlinear optics for solving KS equations.
- To address the convergence difficulties associated with SCE-based functionals.
- To enable calculations with advanced functionals, including zero-point energy (ZPE) and interaction-strength interpolation.
Main Methods:
- Re-adaptation of a spectral renormalization method.
- Simultaneous computation of eigenvalues and electron density.
- Utilization of randomized initial guesses for improved convergence.
- Ease of implementation for practical application.
Main Results:
- Successful convergence of KS equations with functionals incorporating the ZPE term.
- First-time convergence for interaction-strength interpolation functionals combining SCE and ZPE terms.
- Demonstration of a robust and efficient numerical approach.
Conclusions:
- The spectral renormalization method offers a viable solution for challenging DFT calculations.
- This work paves the way for studying quantum systems with strong long-range interactions.
- Future research can explore localization properties in low-dimensional systems with varying statistics and potentials.
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