Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
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Updated
Jul 1, 2024 - Python
Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
Dashboard documentation for the simulating the evolution of object proportions under a mean field approach.
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
Computational statistical mechanics of field-responsive polymer chains
This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.
Package for solving generalized BdG mean field theory of interacting systems.
User-friendly open-source software to design and solve tight-binding models, addressing electronic properties, topology, interactions, non-collinear magnetism, and unconventional superconductivity, among others.
Transport solver for a two-terminal superconducting junction for probing a tight-binding mean-field structure
A collection of programs and scripts to solve and analyze the Kane-Mele-Hubbard model in a variety of (dynamical) mean-field settings
Supplements the paper “Self-Aware Transport of Economic Agents” [SATHA] by Andrew Lyasoff
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
This repo provide numerical result of Caroli-de Gennes-Matricon(CdGM) mode and pair potential of an isolated quantum vortex in the two-dimensional superconductor .
A bi-virus epidemic model for networks with duty-cycled wireless sensors
Mean field methods in the context of continuum mechanics with special focus on orientation averaging homogenization
Here I implemented a simulation to predict the outcome of the FIFA Men's World Cup 2022.
Mean field variational Gaussian process algorithm. This repository contains a python3 implementation of the variational mean field algorithm as described in the paper: Physical Review E. vol. 91, 2015, 012148.
Model Reduction of the Approximate Master Equation for Epidemic Processes on Complex Networks
Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.
Factorized variational approximation using a univariate Gaussian distribution over a single variable x.
Python library to compute different properties of tight binding models
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