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Efficient periodic resolution-of-the-identity Hartree-Fock exchange method with k-point sampling and Gaussian basis
1Department of Chemistry, University of Zurich, CH-8057 Zürich, Switzerland.
This study introduces an efficient method for calculating Hartree-Fock exchange in periodic systems, significantly reducing computational costs for condensed matter simulations. The new approach ensures accuracy and scalability for high-performance computing applications.
Area of Science:
- Condensed matter physics
- Computational chemistry
- Materials science
Background:
- Hybrid density functional theory (DFT) simulations of condensed matter systems are computationally expensive.
- The high cost is primarily due to the non-local Hartree-Fock exchange (HFX) and the need for thermodynamic limit approximations.
- Efficient calculation of HFX in periodic systems is crucial for advancing materials simulations.
Purpose of the Study:
- To develop an efficient method for calculating HFX in periodic systems using k-point sampling.
- To reduce the computational complexity of hybrid DFT simulations.
- To enable accurate and scalable simulations of condensed matter systems.
Main Methods:
- A local atom-specific resolution-of-the-identity (RI) scheme.
- Use of atom-centered Gaussian type orbitals.
- Truncation of Coulomb interaction and auxiliary density matrix method for efficiency.
- Real-space approach with linear scaling with k-points.
- Implementation in the CP2K software package.
Main Results:
- The method demonstrates excellent agreement with Γ-point supercell calculations for relative energies and nuclear gradients.
- Achieved good strong and weak scaling performance.
- Successfully implemented graphics processing unit (GPU) acceleration.
Conclusions:
- The developed method significantly enhances the efficiency of HFX calculations in periodic systems.
- This approach offers a promising solution for high-performance computing in condensed matter simulations.
- The implementation provides accurate and scalable computational tools for materials science research.
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