Physics Packages

Trixi.jl363Trixi.jl: Adaptive highorder numerical simulations of hyperbolic PDEs in Julia

Oceananigans.jl781๐ Julia software for fast, friendly, flexible, oceanflavored fluid dynamics on CPUs and GPUs

NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, PhysicsInformed Neural Operators, and more in Julia

ModelingToolkitStandardLibrary.jl76A standard library of components to model the world and beyond

Bloqade.jl121Package for the quantum computation and quantum simulation based on the neutralatom architecture.

Sophon.jl36Neural networks and neural operators for physicsinformed machine learning

Measurements.jl415Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

QuantumLattices.jl85Julia package for the construction of quantum lattice systems.

Yao.jl786Extensible, Efficient Quantum Algorithm Design for Humans.

DynamicalSystems.jl725Award winning software library for nonlinear dynamics and nonlinear timeseries analysis

DataDrivenDiffEq.jl372Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

NeuralPDE.jl755PhysicsInformed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

IsingModels.jl6

PowerSimulationsDynamics.jl118Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

VoronoiFVM.jl134Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method

ITensors.jl371A Julia library for efficient tensor computations and tensor network calculations

UnROOT.jl68Native Julia I/O package to work with CERN ROOT files objects (TTree and RNTuple)

LatticeQCD.jl99A native Julia code for lattice QCD with dynamical fermions in 4 dimension.

DFTK.jl337Densityfunctional toolkit

WaterLily.jl405Fast and simple fluid simulator in Julia

ViscousFlow.jl84A framework for simulating viscous incompressible flows about arbitrary body shapes.

PowerModels.jl316A Julia/JuMP Package for Power Network Optimization

Modia.jl298Modeling and simulation of multidomain engineering systems

ACME.jl123ACME.jl  Analog Circuit Modeling and Emulation for Julia

CMBLensing.jl49The automatically differentiable and GPUcompatible toolkit for CMB analysis.

MeshCatMechanisms.jl403D Visualization of mechanisms and URDFs using MeshCat.jl and RigidBodyDynamics.jl

Agents.jl554Agentbased modeling framework in Julia

MRIsim.jl43Koma is a framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

KomaMRI.jl43Koma is a framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.

MPSKit.jl73Contains code for tackling 1 dimensional (quantum) problems using tensor network algorithms.

Crystalline.jl44Tools for crystallographic symmetry analysis

Brillouin.jl38Brillouin zones and paths for dispersion calculations in Julia.

ADCME.jl250Automatic Differentiation Library for Computational and Mathematical Engineering

Mera.jl10Analysis Tool for Astrophysical Simulation Data in the Julia Language

QuantumCumulants.jl52Generalized meanfield equations in open quantum systems

MonteCarloMeasurements.jl243Propagation of distributions by MonteCarlo sampling: Real number types with uncertainty represented by samples.

QuantumOpticsBase.jl36Base functionality library for QuantumOptics.jl

InteractiveDynamics.jl162Fast, generalpurpose interactive applications for complex systems

InteractiveChaos.jl162Fast, generalpurpose interactive applications for complex systems

Kinetic.jl96Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
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