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.
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.
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.
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