Canonical sampling through velocity rescaling
Giovanni BussiETH Zürich Computational Science, Department of Chemistry and Applied Biosciences, , USI Campus, Via Giuseppe Buffi 13, CH-6900 Lugano, SwitzerlandDavide DonadioETH Zürich Computational Science, Department of Chemistry and Applied Biosciences, , USI Campus, Via Giuseppe Buffi 13, CH-6900 Lugano, SwitzerlandMichele ParrinelloETH Zürich Computational Science, Department of Chemistry and Applied Biosciences, , USI Campus, Via Giuseppe Buffi 13, CH-6900 Lugano, Switzerland
2007en
ABI
Abstract
The authors present a new molecular dynamics algorithm for sampling the canonical distribution. In this approach the velocities of all the particles are rescaled by a properly chosen random factor. The algorithm is formally justified and it is shown that, in spite of its stochastic nature, a quantity can still be defined that remains constant during the evolution. In numerical applications this quantity can be used to measure the accuracy of the sampling. The authors illustrate the properties of this new method on Lennard-Jones and TIP4P water models in the solid and liquid phases. Its performance is excellent and largely independent of the thermostat parameter also with regard to the dynamic properties.
Identifiers
Citations and references
Cited by 230 references