Reaction Network Monte Carlo (RNMC) is a collection of programs for Monte Carlo simulation of statistical mechanical systems heavily inspired by SPPARKS. RNMC is designed to run large numbers of simulations of a fixed system in parallel. The project currently consists of three parts:
core
: Core code shared by all simulators, for example IO, threading logic and model independent simulation logic.GMC
: Implementation of Gillespie's next reaction simulator. GMC is able to run simulations of reaction networks with hundreds of millions of reactions, even when the number of species is small.NPMC
: A 3D statistical field theory simulator which supports one and two site interactions. Useful for simulating nano particles.
See this paper for an example of the kind of work being done with RNMC.
RNMC depends on GSL for pseudo random number generation and sqlite for the database interfaces.
On a machine with system versions of GSL and sqlite, the executables can be built like this:
CC=g++ ./build.sh
The executables are put in the build
directory. Note that the build script uses the gsl-config
utility to find headers and libraries for GSL. If you are on a cluster and sqlite is not present, it can be built as follows:
cd $HOME
wget https://www.sqlite.org/2021/sqlite-amalgamation-3360000.zip
unzip sqlite-amalgamation-3360000.zip
cd sqlite-amalgamation-3360000
gcc -o libsqlite3.so -shared -fPIC sqlite3.c -lpthread -ldl
in which case, the simulators can be built like this:
export CPATH=$HOME/sqlite-amalgamation-3360000:$CPATH
export LIBRARY_PATH=$HOME/sqlite-amalgamation-3360000:$LIBRARY_PATH
CC=g++ ./build.sh
Run the tests using test.sh
from the root directory of the repository.
GMC is run as follows:
GMC --reaction_database=rn.sqlite --initial_state_database=initial_state.sqlite --number_of_simulations=1000 --base_seed=1000 --thread_count=8 --step_cutoff=200
reaction_database
: a sqlite database containing the reaction network and metadata.initial_state_database
: a sqlite database containing initial state. The simulation trajectories are also written into the databasenumber_of_simulation
: an integer specifying how many simulations to runbase_seed
: seeds used arebase_seed, base_seed+1, ..., base_seed+number_of_simulations-1
thread_count
: is how many threads to use.step_cutoff
: how many steps in each simulation
There are 2 tables in the reaction network database:
CREATE TABLE metadata (
number_of_species INTEGER NOT NULL,
number_of_reactions INTEGER NOT NULL
);
CREATE TABLE reactions (
reaction_id INTEGER NOT NULL PRIMARY KEY,
number_of_reactants INTEGER NOT NULL,
number_of_products INTEGER NOT NULL,
reactant_1 INTEGER NOT NULL,
reactant_2 INTEGER NOT NULL,
product_1 INTEGER NOT NULL,
product_2 INTEGER NOT NULL,
rate REAL NOT NULL
);
There are 3 tables in the initial state database. The factors can be used to modify rates of reactions which have zero or two reactants, or have duplicate reactants.
CREATE TABLE trajectories (
seed INTEGER NOT NULL,
step INTEGER NOT NULL,
reaction_id INTEGER NOT NULL,
time REAL NOT NULL
);
CREATE TABLE factors (
factor_zero REAL NOT NULL,
factor_two REAL NOT NULL,
factor_duplicate REAL NOT NULL)
CREATE TABLE initial_state (
species_id INTEGER NOT NULL PRIMARY KEY,
count INTEGER NOT NULL
);
NPMC is run as follows:
NPMC --nano_particle_database=np.sqlite --initial_state_database=initial_state.sqlite --number_of_simulations=1000 --base_seed=1000 --thread_count=8 --step_cutoff=200 --dependency_threshold=1
nano_particle_database
: a sqlite database containing the nano particle data and metadata.initial_state_database
: a sqlite database containing initial state. The simulation trajectories are also written into the databasenumber_of_simulation
: an integer specifying how many simulations to runbase_seed
: seeds used arebase_seed, base_seed+1, ..., base_seed+number_of_simulations-1
thread_count
: is how many threads to use.step_cutoff
: how many steps in each simulation
There are 4 tables in the nano particle database:
CREATE TABLE species (
species_id INTEGER NOT NULL PRIMARY KEY,
degrees_of_freedom INTEGER NOT NULL
);
CREATE TABLE sites (
site_id INTEGER NOT NULL PRIMARY KEY,
x REAL NOT NULL,
y REAL NOT NULL,
z REAL NOT NULL,
species_id INTEGER NOT NULL
);
CREATE TABLE interactions (
interaction_id INTEGER NOT NULL PRIMARY KEY,
number_of_sites INTEGER NOT NULL,
species_id_1 INTEGER NOT NULL,
species_id_2 INTEGER NOT NULL,
left_state_1 INTEGER NOT NULL,
left_state_2 INTEGER NOT NULL,
right_state_1 INTEGER NOT NULL,
right_state_2 INTEGER NOT NULL,
rate REAL NOT NULL
);
CREATE TABLE metadata (
number_of_species INTEGER NOT NULL,
number_of_sites INTEGER NOT NULL,
number_of_interactions INTEGER NOT NULL
);
there are 3 tables in the initial state database:
CREATE TABLE initial_state (
site_id INTEGER NOT NULL PRIMARY KEY,
degree_of_freedom INTEGER NOT NULL
);
CREATE TABLE trajectories (
seed INTEGER NOT NULL,
step INTEGER NOT NULL,
time REAL NOT NULL,
site_id_1 INTEGER NOT NULL,
site_id_2 INTEGER NOT NULL,
interaction_id INTEGER NOT NULL
);
CREATE TABLE factors (
one_site_interaction_factor REAL NOT NULL,
two_site_interaction_factor REAL NOT NULL,
interaction_radius_bound REAL NOT NULL,
distance_factor_type TEXT NOT NULL
);
distance_factor_type
specifies how to compute interaction propensities for two site interactions as a function of distance. Currently the accepted values are linear
and inverse_cubic
.