Login / Signup

ANKH: A Generalized O ( N ) Interpolated Ewald Strategy for Molecular Dynamics Simulations.

Igor CholletLouis LagardèreJean-Philip Piquemal
Published in: Journal of chemical theory and computation (2023)
To evaluate electrostatics interactions, molecular dynamics (MD) simulations rely on Particle Mesh Ewald (PME), an O ( N log ( N ) ) algorithm that uses Fast Fourier Transforms (FFTs) or, alternatively, on O ( N ) Fast Multipole Methods (FMM) approaches. However, the FFTs low scalability remains a strong bottleneck for large-scale PME simulations on supercomputers. On the opposite, FFT-free FMM techniques are able to deal efficiently with such systems but they fail to reach PME performances for small- to medium-size systems, limiting their real-life applicability. We propose ANKH, a strategy grounded on interpolated Ewald summations and designed to remain efficient/scalable for any size of systems. The method is generalized for distributed point multipoles, and so for induced dipoles, which makes it suitable for high performance simulations using new generation polarizable force fields toward exascale computing.
Keyphrases
  • molecular dynamics
  • molecular dynamics simulations
  • density functional theory
  • molecular docking
  • machine learning
  • diabetic rats
  • neural network
  • single molecule
  • monte carlo