NVT ensemble: Difference between revisions

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[[Electronic minimization|electronic minimization]] or the [[Machine-learned force fields|machine learning]] tags  
[[Electronic minimization|electronic minimization]] or the [[Machine-learned force fields|machine learning]] tags  
have to be added.
have to be added.
==Related tags and articles==
{{FILE|REPORT}}
== References ==
[[Category:Hybrid functionals |Hybrid functionals]]

Revision as of 13:52, 19 July 2022

Category: NVT ensemble

NVT ensemble

The NVT ensemble is a statistical ensemble that is used to study material properties under the conditions of a constant particle number N, constant volume V and a temperature fluctuating around an equilibrium value T. This page describes how to sample the NVT ensemble from a molecular dynamics run.

Instructions for setting up a NVT ensemble

There are 4 choices of thermostats which can either be stochastic or deterministic to simulate the NVT ensemble. The stochastic Andersen thermostat or Langevin thermostat, the deterministic Nose-Hoover thermostat or Multiple Anderson thermostats can be used. See table for the corresponding MDALGO tags.

NVT ensemble Andersen Langevin Nose-Hoover Multiple Andersen
MDALGO 1 3 2 13
additional tags ANDERSEN_PROB LANGEVIN_GAMMA SMASS NSUBSYS, TSUBSYS, PSUBSYS

The user is not allowed to set ISF>2 because then the volume of the simulation would be allowed to change and the simulation would not result in a NVT ensemble. Other flags related to molecular dynamics simulations can be found here.

A simple example INCAR file for the Langevin thermostat could look like'

 #INCAR molecular dynamics tags NVT ensemble 
 IBRION = 0                   # choose molecular dynamics 
 MDALGO = 3                   # using Langevin thermostat 
 ISIF = 2                     # compute stress tensor but do not change box volume/shape 
 TEBEG = 300                  # set temperature 
 NSW = 10000                  # number of time steps 
 POTIM = 1.0                  # time step in femto seconds 
 LANGEVIN_GAMMA = 10.0   10.0 # setting friction coefficient in inverse time units 

Note this INCAR file only contains the parameters for the molecular dynamics part. The electronic minimization or the machine learning tags have to be added.

Related tags and articles

REPORT


References