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Finite Difference Interpolation for Reduction of Grid-Related Errors in Real-Space Pseudopotential Density Functional
Deena Roller1, Andrew M Rappe2, Leeor Kronik1
1Weizmann Institute of Science, Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovoth 76100, Israel.
This study introduces a finite difference interpolation method to reduce "egg-box" errors in real-space density functional theory (DFT) calculations. The new approach mitigates errors and improves convergence without significantly increasing computational cost.
Area of Science:
- Computational physics
- Materials science
- Quantum chemistry
Background:
- Real-space pseudopotential methods are crucial for large-scale density functional theory (DFT) calculations.
- A significant limitation is the "egg-box" effect, caused by grid positioning errors, which can be mitigated by finer grids, increasing computational cost.
- Reducing the "egg-box" effect for a given grid resolution is an active area of research.
Purpose of the Study:
- To present a novel finite difference interpolation method for electron orbitals.
- To systematically reduce "egg-box" effects in real-space pseudopotential DFT calculations.
- To improve the accuracy and efficiency of large-scale electronic structure calculations.
Main Methods:
- Implementation of a finite difference interpolation technique for electron orbitals.
- Application of the method within the PARSEC code, a finite difference real-space pseudopotential DFT program.
- Systematic analysis of "egg-box" error reduction and convergence improvement.
Main Results:
- Demonstrated successful mitigation of "egg-box" errors using the proposed interpolation method.
- Achieved improved convergence in DFT calculations with minimal additional computational expense.
- Validated the effectiveness of the method in reducing grid-related inaccuracies.
Conclusions:
- Finite difference interpolation of electron orbitals offers an effective strategy to combat "egg-box" effects in real-space DFT.
- The method provides a favorable balance between accuracy improvement and computational cost.
- This technique enhances the feasibility and reliability of large-scale electronic structure simulations.
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