Molecular Dynamics simulations often involve the numerical integration of pair-wise particle interactions with a constant, step size method. Of primary concern in these simulations is the introduction of error in velocity statistics. We consider the simple example of the symplectic Euler method applied to two-particle collisions in one dimension governed by linear restoring force and use backward error analysis to predict, these errors. For nearly all choices of system and method parameters, the post-collision energy is not conserved and depends upon the initial conditions of the particles and the step size of the method. The analysis of individual collisions is extended to predict energy growth in systems of particles in one dimen...
The so-called structure-preserving methods which reproduce the fundamental properties like symplecti...
International audienceWe introduce high-order formulas for the computation of statistical averages b...
Abstract: This article presents a particle method framework for simulating molecular dynamics. For t...
We derive a test problem for evaluating the ability of time-stepping methods to preserve statistical...
Step errors (local errors, called also truncation errors) of the algorithms used in molecular dynami...
Hamiltonian perturbation theory explains how symplectic integrators work and, in particular, why the...
Backward error analysis has become an important tool for understanding the long time behavior of num...
In these lectures I will describe numerical techniques for integrating equations of motion that comm...
Mechanical systems in the very large scale like in celestial mechanics or in the very small scale li...
Classical molecular dynamics simulation of a macromolecule requires the use of an efficient time-ste...
We review recently developed decomposition algorithms for molecular dynamics and spin dynamics simul...
Presented are a variety of modern practical techniques for the derivation of integration schemes tha...
Molecular Dynamics (MD) is the numerical simulation of a large system of interacting molecules, and ...
AbstractWe present the results of a set of numerical experiments designed to investigate the appropr...
The development of thermodynamics and statistical mechanics is very important in the history of phys...
The so-called structure-preserving methods which reproduce the fundamental properties like symplecti...
International audienceWe introduce high-order formulas for the computation of statistical averages b...
Abstract: This article presents a particle method framework for simulating molecular dynamics. For t...
We derive a test problem for evaluating the ability of time-stepping methods to preserve statistical...
Step errors (local errors, called also truncation errors) of the algorithms used in molecular dynami...
Hamiltonian perturbation theory explains how symplectic integrators work and, in particular, why the...
Backward error analysis has become an important tool for understanding the long time behavior of num...
In these lectures I will describe numerical techniques for integrating equations of motion that comm...
Mechanical systems in the very large scale like in celestial mechanics or in the very small scale li...
Classical molecular dynamics simulation of a macromolecule requires the use of an efficient time-ste...
We review recently developed decomposition algorithms for molecular dynamics and spin dynamics simul...
Presented are a variety of modern practical techniques for the derivation of integration schemes tha...
Molecular Dynamics (MD) is the numerical simulation of a large system of interacting molecules, and ...
AbstractWe present the results of a set of numerical experiments designed to investigate the appropr...
The development of thermodynamics and statistical mechanics is very important in the history of phys...
The so-called structure-preserving methods which reproduce the fundamental properties like symplecti...
International audienceWe introduce high-order formulas for the computation of statistical averages b...
Abstract: This article presents a particle method framework for simulating molecular dynamics. For t...