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The package phlearn for modelling pseudo-Hamiltonian systems by pseudo-Hamiltonian neural networks (PHNN), for ODEs and PDEs

Python 34.50% Jupyter Notebook 65.32% Makefile 0.08% Batchfile 0.10%
neural-network ordinary-differential-equations hamiltonian-dynamics port-hamiltonian-systems dynamical-systems pseudo-hamiltonian-systems partial-differential-equations

pseudo-hamiltonian-neural-networks's Introduction

Pseudo-Hamiltonian neural networks

This repository contains the package phlearn for modelling pseudo-Hamiltonian ODE and PDE systems with neural networks, and example scripts for training and simulation.

See (Eidnes et al., 2022) for a description of PHNN for ODEs. See (Eidnes and Lye, 2023) for a description of PHNN for PDEs.

Documentation available here

Installation

The phlearn package is available via PyPi:

pip install phlearn

Alternatively, to get the latest updates not yet available on PyPi, you can clone this repository and install directly:

git clone https://github.com/SINTEF/pseudo-Hamiltonian-neural-networks.git
cd pseudo-Hamiltonian-neural-networks
pip install -e phlearn

Authors

Camilla Sterud: [email protected] Sølve Eidnes: [email protected] Eivind Bøhn: [email protected] Signe Riemer-Sørensen: [email protected] Alexander Stasik: [email protected] Kjetil Olsen Lye: [email protected] Ben Tapley: [email protected]

pseudo-hamiltonian-neural-networks's People

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