Random Batch Sum-of-Gaussians Method for Molecular Dynamics Simulations of Particle Systems
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Publication:6074538
DOI10.1137/22m1497201arXiv2205.13824OpenAlexW4387340382MaRDI QIDQ6074538
No author found.
Publication date: 12 October 2023
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2205.13824
Numerical methods for discrete and fast Fourier transforms (65T50) Stochastic particle methods (65C35) Computational molecular dynamics in statistical mechanics (82M37)
Cites Work
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- Fast parallel algorithms for short-range molecular dynamics
- Accurate and efficient computation of nonlocal potentials based on Gaussian-sum approximation
- Exponential relaxation of the Nosé-Hoover thermostat under Brownian heating
- A fast adaptive multipole algorithm in three dimensions
- Random batch methods (RBM) for interacting particle systems
- Approximation by exponential sums revisited
- Optimal transport for applied mathematicians. Calculus of variations, PDEs, and modeling
- On approximation of functions by exponential sums
- Adaptive Thermostats for Noisy Gradient Systems
- Electrostatic energy in ionic crystals
- Splitting for Dissipative Particle Dynamics
- The Anisotropic Truncated Kernel Method for Convolution with Free-Space Green's Functions
- Rational Construction of Stochastic Numerical Methods for Molecular Sampling
- A Random Batch Ewald Method for Particle Systems with Coulomb Interactions
- Weighted L 2-contractivity of Langevin dynamics with singular potentials
- On the Random Batch Method for Second Order Interacting Particle Systems
- Hypocoercivity Properties of Adaptive Langevin Dynamics
- A Kernel-Independent Sum-of-Gaussians Method by de la Vallee-Poussin Sums
- Geometric ergodicity of Langevin dynamics with Coulomb interactions
- Efficient representation of nonreflecting boundary conditions for the time‐dependent Schrödinger equation in two dimensions
- Monte Carlo sampling methods using Markov chains and their applications
- Convergence of the Random Batch Method for Interacting Particles with Disparate Species and Weights
- A fast algorithm for particle simulations
- LAMMPS -- a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
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