Official repository of "Spontaneous symmetry breaking in generative diffusion models"
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Updated
May 22, 2024 - Jupyter Notebook
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
Neural density functional theory of liquid-gas phase coexistence
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.
Machine Learning Phase Transitions
Rapid detection of phase transitions from Monte Carlo samples before equilibrium
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
This repository hosts a progressive series of implementations (Code_v1, Code_v2, and beyond) for deterministic Ξ²*-optimization in the Information Bottleneck framework. Includes symbolic fusion, multi-path inference, and Alpay Algebraβdriven critical point validation (Ξ²* = 4.14144).
Computational toolkit for investigating thermodynamic models of alloys using first-principles calculations
TorchTDSCHA is a PyTorch-accelerated package for simulating out-of-equilibrium quantum dynamics in crystalline materials with quartic potential energy surfaces.
various codes related to compressed sensing that have been used in my publications
π» 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.
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