statistical-physics
There are 96 repositories under statistical-physics topic.
msuzen/looper
A resource list for causality in statistics, data science and physics
wdphy16/stat-mech-van
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
mcbal/deep-implicit-attention
Implementation of deep implicit attention in PyTorch
yomichi/SpinMonteCarlo.jl
Markov chain Monte Carlo solver for lattice spin systems implemented in Julialang
emptymalei/statisticalphysics
open source E-book on statistical physics
mcbal/spin-model-transformers
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
RSMI-NE/RSMI-NE
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
MattWillFlood/EntropyHub.jl
An open-source toolkit for entropic data analysis
VictorSeven/IsingModel
A classic implementation in C++ of the famous 2D Ising Model.
cqsl/mps-rnn
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
mcbal/afem
Implementation of approximate free-energy minimization in PyTorch
AndreHAM/Thermodynamics-and-Statistical-Physics
Codes and tutorials on thermodynamics and statistical physics
DavidMichaelH/statistical-mechanics-models
Statistical mechanics models such as random cluster models, random growth models and related processes.
jordiabante/CpelAsm.jl
Julia module to perform haplotype allele-specific DNA methylation analysis.
cqsl/neural-cluster-update
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
jung235/pydiffuser
A simulation framework for nonequilibrium statistical physics
alexandreday/machine_learning_review
Contains python codes/notebooks for a machine learning review
tsuboshun/LearnEntropy
This repository estimates the entropy production rate from trajectory data using machine learning. The method is based on the thermodynamic uncertainty relation.
fionn/xy
Markov chain Monte Carlo for topological phase transitions
danielmccusker/active-particle-jamming
Masters thesis: Active matter
DelMaestroGroup/papers-code-CanonicalEnsembleTheory
Data, codes and script for a paper on Theory of the Canonical Ensemble
FeiGSSS/ELE
A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020
ndrearu/1d_pimc
1DPIMC: Path Integral Quantum Monte-Carlo simulation of one-dimensional many body particle system.
SimoneGasperini/SOCmodel
Implementation of a minimal neural network model for the study of self-organized criticality
LeMonADE-project/LeMonADE
Library for Monte Carlo Simulation applying the Bond Fluctuation Model
lueckem/SPoNet
Spreading Processes on Networks
MatthieuM64/ABP2023
Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.
msuzen/research
Memo's research works.
Physics-Simulations/Gas-Simulation
Gas simulation with graphical PyQt5 interface. It can simulate either an ideal or real gas and calculate some of its properties as the thermodynamic pressure, the particle velocity distribution, etc. It can also simulate some thermodynamics processes like an isothermal expansion or isochoric heating and calculate the compressibility.
VictorSeven/SurfaceGrowth
Simulations about various surface growth models
ferxinii/ising-longrange
Ising model with super long-range interactions. Includes code for Monte Carlo simulations and an analytical exploration of the model.
Laufinsconsca/statistical-physics-monte-carlo
Pair correlation function simulation for liquid noble gases.
MatthieuM64/APM2020
Codes used in "Flocking and reorientation transition in the 4-state active Potts model" by S. Chatterjee, M. Mangeat, R. Paul and H. Rieger, published in EPL 130, 66001 (2020); and "Flocking with a q-fold discrete symmetry: Band-to-lane transition in the active Potts model" by M. Mangeat, S. Chatterjee, R. Paul and H. Rieger, published in Phys. Rev. E 102, 042601 (2020).
MatthieuM64/RAPM2023
Restricted active Potts model. Codes for numerical solution of PDEs.
Singularitty/Genetic-Algorithm-Structure-Prediction
An implementation of a genetic algorithm in Python for predicting equilibrium crystal structures for a given potential. The potential implemented here is the Daoud-Cotton model, but this can be easily changed.