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Implementation of Perdew-Zunger self-interaction correction in real space using Fermi-Löwdin orbitals
Carlos M Diaz1, Phanish Suryanarayana2, Qimen Xu2
1Department of Physics, University of Texas at El Paso, El Paso, Texas 79968, USA.
This study introduces a new real-space formulation for Perdew-Zunger self-interaction correction (PZ-SIC) using Fermi-Löwdin Orbitals (FLOs). The improved method enhances accuracy for molecular properties and chemical reaction barriers.
Area of Science:
- Quantum Chemistry
- Computational Materials Science
Background:
- Density functional approximations commonly exhibit self-interaction error.
- Perdew-Zunger (PZ) self-interaction correction (SIC) is a key method for mitigating this error.
- Existing implementations may lack scalability and systematic convergence.
Purpose of the Study:
- To implement and verify a novel size-extensive formulation of PZ-SIC using Fermi-Löwdin Orbitals (FLOs) in real space.
- To assess the accuracy of this new formulation for molecular properties and reaction barriers.
- To compare the real-space FLOSIC results with existing implementations and experimental data.
Main Methods:
- Implementation of a size-extensive PZ-SIC formulation using real-space FLOs.
- Calculation of atomization energies and ionization potentials for selected molecules.
- Verification using the generalized Slater scheme and comparison with Gaussian-based FLOSIC codes.
- Analysis of scaled Slater statistical averages of SIC potentials.
- Computation of chemical reaction barrier heights for the BH6 dataset.
Main Results:
- The new real-space FLOSIC formulation shows good agreement with existing methods.
- Results obtained using the real-space formulation are closer to experimental values on average.
- Scaling down the average SIC potential further improves accuracy for atomization energies and ionization potentials.
- Significant improvements in chemical reaction barrier heights were observed compared to Gaussian-based FLOSIC.
Conclusions:
- The real-space, size-extensive FLOSIC formulation is accurate and efficient.
- This method offers systematic convergence and scalability for large systems.
- The approach provides improved predictions for molecular properties and reaction energetics, advancing density functional theory accuracy.
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