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Study of Self-Interaction Errors in Density Functional Calculations of Magnetic Exchange Coupling Constants Using
Prakash Mishra1, Yoh Yamamoto2, Po-Hao Chang2
1Computational Science Program, University of Texas at El Paso, El Paso, Texas 79968, United States.
Removing self-interaction error (SIE) improves magnetic coupling calculations. Scaling self-interaction correction (SIC) with nonempirical density functional approximations (DFAs) shows LSIC performs better for complex systems than PZSIC.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Materials science
Background:
- Self-interaction error (SIE) is a known issue in density functional approximations (DFAs).
- Accurate calculation of magnetic exchange coupling constants is crucial for understanding magnetic materials.
Purpose of the Study:
- To investigate the impact of self-interaction correction (SIC) removal on magnetic exchange coupling constants.
- To compare different one-electron SIC methods when applied to nonempirical DFAs.
Main Methods:
- Employed three one-electron SIC methods: Perdew-Zunger SIC (PZSIC), orbitalwise scaled SIC, and local scaling SIC (LSIC).
- Utilized three nonempirical DFAs: local spin density approximation, Perdew-Burke-Ernzerhof, and SCAN meta-GGA functionals.
- Computed magnetic exchange coupling constants using spin projection and nonprojection approaches for various model systems.
Main Results:
- PZSIC performs well for single-electron systems but shows overcorrection for complex organic molecules and chlorocuprates.
- LSIC with kinetic energy density ratio outperforms PZSIC for these complex systems.
- Both density and energy corrections are necessary for improved magnetic coupling predictions.
Conclusions:
- The choice of SIC method is critical for accurate magnetic exchange coupling calculations, especially for complex systems.
- LSIC offers a better alternative to PZSIC for systems where PZSIC exhibits overcorrection.
- A combined density and energy correction approach is essential for enhancing prediction accuracy.
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