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

PhaseTracer is a C++14 software package for tracing cosmological phases, finding potential phase transitions, computing the bounce action, and plotting the gravitational wave spectrum for Standard Model extensions with any number of scalar fields

The emergence of eukaryotes as an evolutionary algorithmic phase transition

Simulation software for phase transitions in the early universe

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

The code for my PRE article titled "Persistent Homology for Structural Characterization in Disordered Systems"

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

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

CUDA Vicsek model simulator

Studying the Ising model phase transition using PCA.

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.

Investigating cluster dynamics in models of patchy ecosystems

Deep Learning methods (CNNs and VAEs) applied to the study of phase transitions (of the 2d Ising Model).

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.

PTPlot is a tool for exploring the gravitational wave power spectrum from first-order phase transitions, and evaluating the likelihood of detecting a signal with the LISA mission.

Cosmological applications of the SymC framework. Applies χ ≈ 1 stability principles to universe-scale phenomena including cosmic acceleration onset, black hole thermodynamics, and cyclical cosmology. Demonstrates framework consistency from quantum boundaries to cosmic structure.Retry

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