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A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Home Page: https://docs.sciml.ai/NBodySimulator/stable/

License: Other

Julia 100.00%
molecular-dynamics molecular-dynamics-simulation sciml scientific-machine-learning automatic-differentiation algorithmic-differentiation differentiable-programming symbolic-integration geometric-algorithms

nbodysimulator.jl's Introduction

NBodySimulator

Join the chat at https://julialang.zulipchat.com #sciml-bridged Global Docs

codecov Build Status

ColPrac: Contributor's Guide on Collaborative Practices for Community Packages SciML Code Style Simulating systems of N interacting bodies.

Tutorials and Documentation

For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation, which contains the unreleased features.

Example

using NBodySimulator
using StaticArrays
using Plots
body1 = MassBody(SVector(0.0, 1.0, 0.0), SVector(5.775e-6, 0.0, 0.0), 2.0)
body2 = MassBody(SVector(0.0, -1.0, 0.0), SVector(-5.775e-6, 0.0, 0.0), 2.0)
G = 6.673e-11
system = GravitationalSystem([body1, body2], G)
tspan = (0.0, 1111150.0)
simulation = NBodySimulation(system, tspan)
sim_result = run_simulation(simulation)
animate(sim_result, "path_to_animated_particles.gif")

Here should appear a gif of rotating bodies

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