Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

38

Scientific paper

Metadynamics is a powerful algorithm that can be used both for reconstructing the free energy and for accelerating rare events in systems described by complex Hamiltonians, at the classical or at the quantum level. In the algorithm the normal evolution of the system is biased by a history-dependent potential constructed as a sum of Gaussians centered along the trajectory followed by a suitably chosen set of collective variables. The sum of Gaussians is exploited for reconstructing iteratively an estimator of the free energy and forcing the system to escape from local minima. This review is intended to provide a comprehensive description of the algorithm, with a focus on the practical aspects that need to be addressed when one attempts to apply metadynamics to a new system: (i) the choice of the appropriate set of collective variables; (ii) the optimal choice of the metadynamics parameters and (iii) how to control the error and ensure convergence of the algorithm.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Metadynamics: a method to simulate rare events and reconstruct the free energy in biophysics, chemistry and material science will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-795700

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.