Homec4science
Diffusion lammps (efficient_neuronet) Browse

lammps/examples/KAPPA/README
00d9f400ba98efficient_neuronet

Last Change
Raw File

README
View Options

This directory has 4 scripts that compute the thermal conductivity
(kappa) of a Lennard-Jones fluid using 4 different methods. See the
discussion in Section 6.20 of the manual for an overview of the
methods and pointers to doc pages for the commands which implement
them. Citations for the various methods can also be found in the
manaul.
These scripts are provided for illustration purposes. No guarantee is
made that the systems are fully equilibrated or that the runs are long
enough to generate good statistics and highly accurate results.
-------------
These are the 4 methods for computing thermal conductivity. The first
3 are non-equilibrium methods; the last is an equilibrium method.
in.langevin = thermostat 2 regions at different temperatures via fix langevin
in.heat = add/subtract energy to 2 regions via fix heat
in.mp = use fix thermal/conductivity and the Muller-Plathe method
in.heatflux = use compute heat/flux and the Green-Kubo method
The NEMD systems have 8000 atoms with a box length 2x larger in z, the
non-equilibrium direction. The G-K system has 4000 atoms and a cubic
box; it also needs to be run longer to generate good statistics.
The scripts were all run on 8 processors. They all run in a minute or
so and produce the accompanying log files and profile files (for
temperature or heat-flux).
The state point of the LJ fluid is rho* = 0.6, T* = 1.35, and Rcut =
2.5 sigma. This was chosen to agree with a 1986 paper by D Evans in
Phys Rev A, 34, p 1449, where he computed the thermal conductivity of
a small 108-atom system using a thermostatting method. Fig 1 in the
paper shows his simulations produced a kappa of around 3.4 for this
system, in agreement with an experimental data point as well.
-------------
Here is how to extract Kappa from the log file output for each method.
The NEMD methods use the formula kappa = dQ * dZ/dTemp where dQ =
energy flux, and dTemp/dZ = temperature gradient.
(1) in.langevin
dQ = 8000 * 0.5*(0.905+0.947) / 100 / 18.82^2 / 2
8000 atoms
0.5*(0.905+0.947) = from log file =
ave of total in/out energy for 2 regions normalized by # of atoms
100 = 20,000 steps at 0.005 tau timestep = run time in tau
xy box area = 18.82^2
divide by 2 since energy flux goes in 2 directions due to periodic z
dTemp = 0.578 from log file for average Temp difference between 2 regions
dZ = 18.82
Kappa = 3.41
(2) in.heat
dQ = (100*100) / 100 / 18.82^2 / 2
100*100 = 100 (time in tau) * 100 (energy delta specified in fix heat)
100 = 20,000 steps at 0.005 tau timestep = run time in tau
xy box area = 18.82^2
divide by 2 since energy flux goes in 2 directions due to periodic z
dTemp = 0.783 from log file for average Temp difference between 2 regions
dZ = 18.82
Kappa = 3.39
(3) in.mp
dQ = 15087 / 100 / 18.82^2 / 2
15087 = cummulative delta energy, tallied by fix thermal/conductivity
100 = 20,000 steps at 0.005 tau timestep = run time in tau
xy box area = 18.82^2
divide by 2 since energy flux goes in 2 directions due to periodic z
dTemp = 1.16 from log file for average Temp difference between 2 regions
dZ = 18.82
Kappa = 3.45
(4) in.heatflux
kappa is computed directly within the script, by performing a time
integration of the formulas discussed on the compute heat/flux doc
page - the resulting value prints at the end of the run and is in the
log file
Kappa = 3.78
c4science · Help