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.

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

AI research environment for the game of Snake 🐍 .

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

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

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)

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

Extended DeepH (xDeepH) method for magnetic materials.

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

Symbolic Perturbation Theory (SymPT) is a Python package for symbolic perturbative transformations on quantum systems. SymPT helps compute effective Hamiltonians for both time-independent and time-dependent systems at both operator and matrix level.

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

Numerical library for working with clean superconductors in Python using the Bogoliubov-de Gennes formalism

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.

pyHamSys is a Python package for scientific computations involving Hamiltonian systems

The official JAX implementation of Action-Angle Networks!

Symbolic computations with second quantized operators

Code for "Time-Reversal Symmetric ODE Network (NeurIPS 2020)"

A parallel and GPU-accelerated Code for Real-Space All-Electron Linear-Scaling Density Functional Theory

Hamiltonian Gauge Gravity Surveyor (HiGGS). Tools for Hamiltonian constraint, canonical and Dirac-Bergmann analysis of gravity theories with spacetime curvature and torsion.

Time-evolution of a wavefunction using a Krylov subspace expansion

Symbolic calculation of the (van Vleck) Floquet recursion formula