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Fast, accurate evaluation of exact exchange: The occ-RI-K algorithm
Samuel Manzer1, Paul R Horn1, Narbe Mardirossian1
1Kenneth S. Pitzer Center for Theoretical Chemistry, Department of Chemistry, University of California, Berkeley, and Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
Developing efficient computational methods is crucial for hybrid density functional theory. This study introduces a compressed exchange matrix framework, occ-RI-K, significantly accelerating calculations while maintaining accuracy.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- The construction of the exact exchange matrix (K) is a bottleneck in hybrid density functional theory (DFT).
- Increased computational efficiency is highly desirable for practical applications of DFT.
- Existing methods like integral-direct and resolution of the identity (RI)-K can be computationally intensive.
Purpose of the Study:
- To present a novel framework for computing a compressed exchange matrix.
- To improve the efficiency of calculating exact exchange energy, gradients, and DIIS error vectors.
- To demonstrate the practical advantages of this framework in quantum chemical calculations.
Main Methods:
- Framework for computing a compressed exchange matrix with one index in the molecular orbital basis and the other in the atomic orbital basis.
- Integration of the compressed exchange matrix framework with the resolution of the identity (RI) approximation, termed occupied orbital RI-K (occ-RI-K).
- Utilizing the direct inversion of the iterative subspace (DIIS) algorithm for convergence acceleration.
Main Results:
- The occ-RI-K method demonstrates well-behaved convergence in conjunction with DIIS.
- Computed energetics using occ-RI-K are highly accurate, matching conventional RI-K results.
- Significant speedups were achieved: 14× over conventional algorithms and 3.3× over RI-K for a large graphene fragment.
Conclusions:
- The developed occ-RI-K framework offers a substantial increase in computational efficiency for hybrid DFT.
- This method maintains excellent accuracy for energetics, making it a viable alternative to existing approaches.
- The framework shows great potential for accelerating large-scale quantum chemical computations.
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