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Revisiting infinite lattice sums with the periodic fast multipole method
Konstantin N Kudin1, Gustavo E Scuseria
1Department of Chemistry Rice University, Houston, Texas 77005-1892, USA.
The Journal of Chemical Physics
|August 5, 2004
Summary
This study revisits lattice sums for the periodic fast multipole method, deriving new recurrence expressions for efficient computation. Practical aspects like convergence and accuracy are also discussed for lattice sum calculations.
Area of Science:
- Computational physics
- Mathematical methods
Background:
- The periodic fast multipole method (PFM) is crucial for simulating large-scale periodic systems.
- Accurate and efficient computation of lattice sums is essential for PFM performance.
- Existing methods for lattice sums can be computationally intensive or lack sufficient accuracy.
Purpose of the Study:
- To reinvestigate the evaluation of lattice sums and stress lattice sums within the PFM framework.
- To derive simple, accurate, and efficient recurrence expressions for these sums.
- To provide practical guidance on the computation of lattice sums, including convergence and accuracy considerations.
Main Methods:
- The renormalization method is adapted to derive new recurrence relations for lattice sums.
- Lattice sums and stress lattice sums are evaluated using the derived recurrence expressions.
- Numerical computation of the first few nonzero lattice sum terms in a 3D cubic lattice.
Main Results:
- Novel recurrence expressions for lattice sums and stress lattice sums are presented.
- The derived expressions offer improved simplicity, accuracy, and efficiency.
- The first few nonzero lattice sum terms for a 3D cubic lattice are computed and tabulated.
Conclusions:
- The developed recurrence expressions provide a more efficient and accurate approach to lattice sum evaluation in PFM.
- The findings facilitate improved performance and reliability of simulations using the periodic fast multipole method.
- Practical considerations discussed aid researchers in optimizing lattice sum computations.