Physics Packages
-
Trixi.jl363Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs in Julia
-
Oceananigans.jl781๐ Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs
-
NeuralOperators.jl151DeepONets, (Fourier) Neural Operators, Physics-Informed 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 neutral-atom architecture.
-
Sophon.jl36Neural networks and neural operators for physics-informed 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.jl755Physics-Informed 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.jl337Density-functional 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 GPU-compatible toolkit for CMB analysis.
-
MeshCatMechanisms.jl403D Visualization of mechanisms and URDFs using MeshCat.jl and RigidBodyDynamics.jl
-
Agents.jl554Agent-based 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 mean-field equations in open quantum systems
-
MonteCarloMeasurements.jl243Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
-
QuantumOpticsBase.jl36Base functionality library for QuantumOptics.jl
-
InteractiveDynamics.jl162Fast, general-purpose interactive applications for complex systems
-
InteractiveChaos.jl162Fast, general-purpose 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.
Loading more...