Sampling the isothermal-isobaric ensemble by Langevin dynamics
arXiv:1601.01044 · doi:10.1063/1.4944909
Abstract
We present a new method of conducting molecular dynamics simulation in isothermal-isobaric ensemble based on Langevin equations of motion. The stochastic coupling to all particle and cell degrees of freedoms is introduced in a correct way, in the sense that the stationary configurational distribution is proved to be in consistent with that of the isothermal-isobaric ensemble. In order to apply the proposed method in computer simulations, a second order symmetric numerical integration scheme is developed by Trotter's splitting of the single-step propagator. Moreover, a practical guide of choosing working parameters is suggested for user specified thermo- and baro-coupling time-scales. The method and software implementation are carefully validated by a numerical example.
References in corpus (5)
Cited by in corpus (8)
- Pressure control using stochastic cell rescaling
- A random batch Ewald method for charged particles in the isothermal-isobaric ensemble
- Adaptive coupling of a deep neural network potential to a classical force field
- Stochastic sampling of the isothermal-isobaric ensemble: phase diagram of crystalline solids from molecular dynamics simulation
- The optimal particle-mesh interpolation basis
- Kaiser-Bessel Basis for the Particle-Mesh Interpolation
- Effects of Structural Inhomogeneity on Equilibration Processes in Langevin Dynamics
- Multiple Staggered Mesh Ewald: Boosting the Accuracy of the Smooth Particle Mesh Ewald Method