A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.

lindemann is a python package to calculate the Lindemann index of a lammps trajectory

Mathematica package for evaluation of the bounce action with multiple scalar fields

This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.

Studying the Ising model phase transition using PCA.

The emergence of eukaryotes as an evolutionary algorithmic phase transition

Toolkit to study Cosmological Phase Transitions + Primordial Black Holes + Gravitational Waves

Detecting phase transitions from Quantum Monte Carlo datasets using the "learning by confusion" (LbC) technique. Training CNNs in PyTorch to classify phases of matter in an electron-phonon model.

CUDA Vicsek model simulator

A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms

Probabilistic PCA for missing data: learning curves shows a phase transition and missing rate acts as an effective reduction in the signal-to-noise ratio, not the sample size.

Investigating cluster dynamics in models of patchy ecosystems

2D Ising model in a square lattice with Metropolis-Hastings algorithm and sequential update.

Jupyter Notebook tab and raw Julia script to simulate the Phi-4 model in a square lattice (d=2) .

Exploring the relation between fractals and phase transitions.

2D simulation of confluent cell collectives based on a coarse-grained bead-spring model

Statistical Modelling for the Problem related to the field of Classical and Quantum Mechanics.

University Exam of Statistical Physics UNIFI, Implementation of a SAT Solver and in depth study of the phase transition in the 3-SAT problems

project home page of dyGiLa dynamic GL eqns solver project