Flat histogram
Flat histogram Monte Carlo methods bias the system along a macrostate, or order parameter, to observe uniform sampling and recover the free energy as a function of this order parameter.
FlatHistogram
contains a Macrostate
and a Bias
.
The Macrostate
could be the number of particles
or some other quantity such as the energy or a parameter of a model.
The method of Bias
includes Wang-Landau
and Transition-Matrix
.
Importantly, the Bias
computes the probability distribution of the macrostate
on the fly, which is related to the free energy.
Tutorial
- Ideal gas equation of state using grand canonical ensemble transition-matrix Monte Carlo
- Grand canonical ensemble transition-matrix Monte Carlo
- Analysis of a one-phase (supercritical) simulation
- Analysis of a two-phase (phase separated) simulation
- Grand Canonical Flat Histogram Simulation of Lennard-Jones
- Grand Canonical Flat Histogram Simulation of SPC/E
- Grand Canonical Flat Histogram Simulation of RPM
- Grand Canonical Flat Histogram Simulation of Hard Spheres.
- Grand Canonical Flat Histogram Simulation of Patchy Trimers
- Grand Canonical Flat Histogram Simulation of Kern-Frenkel Patches
- Grand Canonical Flat Histogram Simulation at low temperature
- Grand Canonical Flat Histogram Simulation of EMP2 CO2
- Grand Canonical Flat Histogram Simulation of TraPPE alkanes
- Efficiency of 1 or 2 bin Grand Canonical Flat Histogram Simulations