🟢 Latest version of LAMMPS now contains official fix command for overdamped BD. See here.
This is the custom LAMMPS
fix for overdamped Langevin dynamics(Brownian dynamics). LAMMPS
has fix langevin
for Langevin dynamics simulation. However, the algorithm LAMMPS use to integrate Langevin dynamics equation is Velocity-Verlet. This is not suitable for high friction(overdamped) simulation. Here are several files I modified from original fix_langevin.cpp
and some other files to give LAMMPS
a fix for overdamped Langevin dynamics simulation. This fix is only suitable for high friction case since velocity is overdamped. For more information and derivation of equation of motions, you can read this blog post as well https://www.guangshi.io/posts/simulating-brownian/
- Put
fix_bd.cpp
/fix_bd_baoab.cpp
and their header files intosrc
folder ofLAMMPS
. - Build
LAMMPS
.
fix ID group-ID bd temperature damp seed
- ID, group-ID
- bd = style name of this fix command
- temperature = desired temperature of run (temperature units)
- damp = damping parameter (time units)
- seed = random number seed to use for white noise (positive integer)
fix 1 all bd 1.00 0.01 324231
-
For low friction, please use original
fix langevin
. As for what value is appropriate for high and low friction, one should do experiments themselves. -
damp should be much smaller than one. This is to ensure the parameters are indeed for overdamped/high friction/low inertia regime. For instance (with LJ unit for simplicity), damp = 0.01 is sufficiently small for Brownian dynamics simulation. damp = 100 is too large to use this fix. Instead, just use
fix langevin
for a large value of damp constant. -
❗ Only fix bd and fix bd/baoab works. Do not use OMP versions.
fix bd/baoab
: BAOAB algorithm for Brownian Dynamics simulation (see https://arxiv.org/abs/1203.5428).(discarded)fix bd/srk
: SRK algorithm for Brownian Dynamics simulation.(discarded)fix bd/omp
/fix bd/srk/omp
/fix bd/baoab/omp
: OMP version of Brownian Dynamics simulation.
- Leimkuhler, Benedict, and Charles Matthews. "Rational construction of stochastic numerical methods for molecular sampling." Applied Mathematics Research eXpress 2013.1 (2012): 34-56.