Official repository of "Spontaneous symmetry breaking in generative diffusion models"

A program implementing Metropolis Monte Carlo for the 2D square-lattice Ising model and the spin block renormalization

PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl

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

Monte Carlo simulation of 2D Ising Model. Final project of the LoCP-A course during 2020/2021 at Unipd

Unsupervised learning for discovering phase transition for various spin models.

Machine learning and the Ising model phase transition.

Tools to integrate Langevin equations for directed-percolation and absorbing phase transition models

Kinetic Monte Carlo of phase transitions coupled with heat transfer

QuantumGaussianDynamics is a software package for simulating out-of-equilibrium quantum dynamics in crystalline materials with general potential energy surfaces. It computes the time evolution of the full quantum nuclear state to predict phase transitions and dynamic corrections to ionic properties.

Neural density functional theory of liquid-gas phase coexistence

Machine Learning Phase Transitions

Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184

various codes related to compressed sensing that have been used in my publications

TorchTDSCHA is a PyTorch-accelerated package for simulating out-of-equilibrium quantum dynamics in crystalline materials with quartic potential energy surfaces.

Rapid detection of phase transitions from Monte Carlo samples before equilibrium

Implementation of the one dimensional Contact Process (SIS model) and two dimensional SIR model in order to find critical exponents of Percolation

Computational toolkit for investigating thermodynamic models of alloys using first-principles calculations

This repository hosts a progressive series of implementations (Code_v1, Code_v2, and beyond) for deterministic β*-optimization in the Information Bottleneck framework. Includes symbolic fusion, multi-path inference, and Alpay Algebra–driven critical point validation (β* = 4.14144).

Physics Masters Project modelling the phase behaviour of DNA nanoparticles using LAMMPS

Repository of dyGiLa project

💻 Phase Transition for Random Graphs (A-FIB)

FiniteSizeScaling.jl: A Julia data analysis package for finding optimized values of phase transition parameters and critical exponents.

Another phase transition in the Axelrod model

Binary 2D alloy phase transition simulation with Monte Carlo method and Ising model

Probing hidden spin order with interpretable machine learning (mirrored from GitLab)

Multi-condensate state as a functional strategy to optimize the cell signaling output

Automatically exported from code.google.com/p/bosonic-vmps

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.

Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.