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Bloch-state optimal basis sets: An efficient approach for electronic structure interpolation
Sasawat Jamnuch1,2, John Vinson2
1Theiss Research, La Jolla, CA, 92037, USA.
We developed an efficient k-space interpolation method for electronic structure calculations. This technique accurately predicts properties using minimal density functional theory (DFT) data, accelerating computational studies.
Area of Science:
- Computational Physics
- Materials Science
- Quantum Chemistry
Background:
- Electronic structure calculations are crucial for understanding material properties.
- Traditional methods can be computationally expensive, limiting high-throughput studies.
- Interpolation techniques can accelerate calculations but often lack accuracy.
Purpose of the Study:
- To present an efficient k-space interpolation method for electronic structure.
- To enable accurate property prediction from a minimal set of density functional theory (DFT) wavefunctions.
- To accelerate high-throughput DFT studies.
Main Methods:
- Implementation of the optimal basis method for k-space interpolation.
- Interpolation of eigenvalues and wavefunctions onto arbitrary k-points.
- Application of interpolated wavefunctions in the Bethe-Salpeter equation for spectra simulation.
Main Results:
- Achieved high accuracy (within 0.01 eV) for interpolated eigenvalues with minimal computational cost.
- Successfully simulated X-ray absorption spectra for diverse systems, from small crystals to large supercells.
- Demonstrated the robustness and accuracy of the interpolation method through extensive testing.
Conclusions:
- The presented k-space interpolation method is efficient and accurate.
- This approach significantly reduces computational cost for electronic structure calculations.
- The method is expected to greatly accelerate high-throughput DFT studies and materials discovery.
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