830,282 research outputs found
Ab-Initio Molecular Dynamics
Computer simulation methods, such as Monte Carlo or Molecular Dynamics, are
very powerful computational techniques that provide detailed and essentially
exact information on classical many-body problems. With the advent of ab-initio
molecular dynamics, where the forces are computed on-the-fly by accurate
electronic structure calculations, the scope of either method has been greatly
extended. This new approach, which unifies Newton's and Schr\"odinger's
equations, allows for complex simulations without relying on any adjustable
parameter. This review is intended to outline the basic principles as well as a
survey of the field. Beginning with the derivation of Born-Oppenheimer
molecular dynamics, the Car-Parrinello method and the recently devised
efficient and accurate Car-Parrinello-like approach to Born-Oppenheimer
molecular dynamics, which unifies best of both schemes are discussed. The
predictive power of this novel second-generation Car-Parrinello approach is
demonstrated by a series of applications ranging from liquid metals, to
semiconductors and water. This development allows for ab-initio molecular
dynamics simulations on much larger length and time scales than previously
thought feasible.Comment: 13 pages, 3 figure
Effective Sampling in the Configurational Space by the Multicanonical-Multioverlap Algorithm
We propose a new generalized-ensemble algorithm, which we refer to as the
multicanonical-multioverlap algorithm. By utilizing a non-Boltzmann weight
factor, this method realizes a random walk in the multi-dimensional,
energy-overlap space and explores widely in the configurational space including
specific configurations, where the overlap of a configuration with respect to a
reference state is a measure for structural similarity. We apply the
multicanonical-multioverlap molecular dynamics method to a penta peptide,
Met-enkephalin, in vacuum as a test system. We also apply the multicanonical
and multioverlap molecular dynamics methods to this system for the purpose of
comparisons. We see that the multicanonical-multioverlap molecular dynamics
method realizes effective sampling in the configurational space including
specific configurations more than the other two methods. From the results of
the multicanonical-multioverlap molecular dynamics simulation, furthermore, we
obtain a new local-minimum state of the Met-enkephalin system.Comment: 15 pages, (Revtex4), 9 figure
Molecular Dynamics of Yukawa System using the Fast Multipole Method
In order to perform the large-scale molecular dynamics simulation of the Yukawa system, a mathematical expression for molecular dynamics using the fast multipole method is described. The model simulations are also performed to test
the performance of our implementation of the FMM
An efficient time-stepping scheme for ab initio molecular dynamics simulations
In ab initio molecular dynamics simulations of real-world problems, the
simple Verlet method is still widely used for integrating the equations of
motion, while more efficient algorithms are routinely used in classical
molecular dynamics. We show that if the Verlet method is used in conjunction
with pre- and postprocessing, the accuracy of the time integration is
significantly improved with only a small computational overhead. The validity
of the processed Verlet method is demonstrated in several examples including ab
initio molecular dynamics simulations of liquid water. The structural
properties obtained from the processed Verlet method are found to be
sufficiently accurate even for large time steps close to the stability limit.
This approach results in a 2x performance gain over the standard Verlet method
for a given accuracy.Comment: 32 pages, 11 figure
Coupled continuum hydrodynamics and molecular dynamics method for multiscale simulation
We present a new hybrid methodology for carrying out multiscale simulations of flow problems lying between continuum hydrodynamics and molecular dynamics, where macro/micro lengthscale separation exists only in one direction. Our multiscale method consists of an iterative technique that couples mass and momentum flux between macro and micro domains, and is tested on a converging/diverging nanochannel case containing flow of a simple Lennard-Jones liquid. Comparisons agree well with a full MD simulation of the same test case
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