A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton

Computer Algebra, Physics and Differential Geometry in Clojure.

Machine learning algorithms for many-body quantum systems

Code for our paper "Hamiltonian Neural Networks"

The Emmy Computer Algebra System.

Quantum Hardware Design. Open-source project for engineers and scientists to design superconducting quantum devices with ease.

Deep neural networks for density functional theory Hamiltonian.

Julia package for the construction of quantum lattice systems.

AI research environment for the game of Snake 🐍 .

DeePTB: A deep learning package for tight-binding approach with ab initio accuracy.

Numerically solves equations of motion for a given Hamiltonian function

A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)

PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems

Scientific Python package for solving Slater Koster tight-binding topological hamiltonian

Extended DeepH (xDeepH) method for magnetic materials.

Computer algebra tools for symbolic manipulations in quantum mechanics and quantum information

Exercise solutions for Daniel Liberzon's "Calculus of Variations and Optimal Control Theory: A Concise Introduction" book and other optimal control problems

A tool to read and operate OpenMX HKS (Kohn-Sham Hamiltonian) files

Markov-Dubins Problem: an Optimal Control Approach. Optimal solutions are found by means of Pontryagin Maximum principle; the rest of the work is focused on the characterization of singular and nonsingular solutions. Simulations conclude the report.

The official JAX implementation of Action-Angle Networks!