Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
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Updated
Jul 29, 2024 - Python
Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
Implementation of deep implicit attention in PyTorch
A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.
Code for 'From Tensor Network Quantum States to Tensorial Recurrent Neural Networks'.
Memo's research works.
A python implementation of ELE method in paper "Abrupt phase transition of epidemic spreading in simplicial complexes", PRR 2020
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Spreading Processes on Networks
Python little library to simulate nanoscale hat transport from the Gray Model approach.
Ising model with super long-range interactions. Includes code for Monte Carlo simulations and an analytical exploration of the model.
A simulation framework for nonequilibrium statistical physics
Another phase transition in the Axelrod model
A Python Package to perform Widom's Test-Particle method on molecular-dynamics simulation data
Hopfield model for T=0 and finite T.
An implementation of a genetic algorithm in Python for predicting equilibrium crystal structures for a given potential. The potential implemented here is the Daoud-Cotton model, but this can be easily changed.
Reposity that I will use as a compendium for my numerical approaches to several physics problems
Strong Disorder RG Flow and the Random Singlet Phase of a 1D Random AF Heisenberg Spin-1/2 Chain.
Sedimention of active Brownian particles in a box. Codes for numerical simulations and numerical solution of PDEs.
Code for 'Unbiased Monte Carlo Cluster Updates with Autoregressive Neural Networks'.
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