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How to Convert SPME to P3M: Influence Functions and Error Estimates.

V Ballenegger1, J J Cerdà2, C Holm3

  • 1Institut UTINAM, Université de Franche-Comté , UMR 6213, 16, route de Gray, 25030 Besançon cedex, France.

Journal of Chemical Theory and Computation
|November 24, 2015
PubMed
Summary
This summary is machine-generated.

We show smooth particle mesh Ewald (SPME) and particle-particle particle mesh (P3M) methods are mathematically equivalent. This enables converting P3M error estimates to SPME, optimizing simulations for accuracy and computational cost.

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Area of Science:

  • Computational physics
  • Molecular dynamics
  • Electrostatics

Background:

  • Particle mesh Ewald methods are crucial for simulating long-range interactions in large systems.
  • Smooth particle mesh Ewald (SPME) and particle-particle particle mesh (P3M) are widely used but distinct implementations.
  • Accurate error estimation is vital for efficient parameter selection in these methods.

Purpose of the Study:

  • To demonstrate the mathematical equivalence between SPME and P3M methods.
  • To derive a unified error estimation framework applicable to both methods.
  • To provide practical guidance for optimizing simulation parameters.

Main Methods:

  • Mathematical transformation between SPME and P3M formulations.
  • Derivation of an error estimate for SPME based on P3M's energy-conserving scheme.
  • Analytical subtraction of self-forces within particle mesh calculations.
  • Approximation of the P3M lattice Green function with a closed-form expression.

Main Results:

  • Explicit mathematical transformation linking SPME and P3M is presented.
  • A novel error estimate for SPME, valid for all parameter values, is derived.
  • Plots illustrating SPME force accuracy across various parameters are generated.
  • A simplified, on-the-fly computable approximation for the P3M lattice Green function is introduced.

Conclusions:

  • SPME and P3M methods are fundamentally interchangeable, simplifying error analysis.
  • The derived error estimate facilitates efficient parameter space exploration for optimal accuracy and computational cost.
  • Code conversion between SPME and P3M is straightforward, enhancing methodological flexibility.