Studying the Ising model phase transition using PCA.
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Updated
Nov 8, 2019 - Jupyter Notebook
Studying the Ising model phase transition using PCA.
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) .
Statistical Modelling for the Problem related to the field of Classical and Quantum Mechanics.
Mathematica package for evaluation of the bounce action with multiple scalar fields
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.
Computation of thermodynamic properties of crystals from ab initio calculation of static energies and vibrational frequencies.
CUDA Vicsek model simulator
A demo to simulate 2D spin lattices with different shapes, boundary conditions, models and algorithms
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.
Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
project home page of dyGiLa dynamic GL eqns solver project
Exploring the relation between fractals and phase transitions.
The emergence of eukaryotes as an evolutionary algorithmic phase transition
2D simulation of confluent cell collectives based on a coarse-grained bead-spring model
lindemann is a python package to calculate the Lindemann index of a lammps trajectory
Investigating cluster dynamics in models of patchy ecosystems
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
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