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Occupied-Orbital Fast Multipole Method for Efficient Exact Exchange Evaluation.

Hai-Anh Le1, Toru Shiozaki1

  • 1Department of Chemistry , Northwestern University , 2145 Sheridan Road , Evanston , Illinois 60208 , United States.

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|January 26, 2018
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Summary
This summary is machine-generated.

We developed an efficient algorithm using the fast multipole method (FMM) to compute exact exchange in Hartree-Fock and density functional theory models. This significantly reduces computational cost for large molecular systems.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Materials Science

Background:

  • Accurate computation of exact exchange is crucial for Hartree-Fock (HF) and hybrid density functional theory (DFT) models.
  • Traditional methods for calculating exact exchange contributions are computationally expensive, limiting their application to large systems.

Purpose of the Study:

  • To present an efficient algorithm for computing exact exchange contributions in HF and hybrid DFT.
  • To leverage the fast multipole method (FMM) for enhanced computational efficiency.

Main Methods:

  • The algorithm utilizes the fast multipole method (FMM) with hierarchical boxes.
  • It exploits the constraint that at least one index of the exchange matrix must be an occupied orbital for efficient FMM application.
  • The method was benchmarked on various molecular systems, including alkane chains, graphene, water clusters, and the Crambin protein.

Main Results:

  • The developed FMM-based algorithm demonstrates significant efficiency in computing exact exchange.
  • For the Crambin protein, the far-field exchange evaluation cost was approximately 3% of a self-consistent field iteration using multipoles up to rank 2.
  • Benchmarks on diverse systems confirm the algorithm's scalability and applicability.

Conclusions:

  • The FMM-based approach provides an efficient solution for calculating exact exchange in electronic structure calculations.
  • This method enables accurate HF and hybrid DFT calculations for larger and more complex molecular systems.
  • The reduced computational cost opens new possibilities for high-accuracy theoretical studies in chemistry and materials science.