Showing 9 open source projects for "physics"

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  • 1
    JUDI.jl

    JUDI.jl

    Julia Devito inversion

    ...Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling operators can also be used as layers in (convolutional) neural networks to implement physics-augmented deep learning algorithms thanks to its implementation of ChainRules's rrule for the linear operators representing the discre wave equation.
    Downloads: 3 This Week
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  • 2
    LatticeQCD.jl

    LatticeQCD.jl

    A native Julia code for lattice QCD with dynamical fermions in 4D

    This code enables you to perform lattice QCD calculations! A native Julia code for Lattice QCD.
    Downloads: 0 This Week
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  • 3
    Unitful.jl

    Unitful.jl

    Physical quantities with arbitrary units

    Unitful is a Julia package for physical units. We want to support not only SI units but also any other unit system. We also want to minimize or in some cases eliminate the run-time penalty of units. There should be facilities for dimensional analysis. All of this should integrate easily with the usual mathematical operations and collections that are found in Julia base.
    Downloads: 0 This Week
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  • 4
    NeuralOperators.jl

    NeuralOperators.jl

    DeepONets, Neural Operators, Physics-Informed Neural Ops in Julia

    Neural operator is a novel deep learning architecture. It learns an operator, which is a mapping between infinite-dimensional function spaces. It can be used to resolve partial differential equations (PDE). Instead of solving by finite element method, a PDE problem can be resolved by training a neural network to learn an operator mapping from infinite-dimensional space (u, t) to infinite-dimensional space f(u, t). Neural operator learns a continuous function between two continuous function...
    Downloads: 0 This Week
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  • 5
    SciMLBenchmarks.jl

    SciMLBenchmarks.jl

    Benchmarks for scientific machine learning (SciML) software

    SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem.
    Downloads: 0 This Week
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  • 6
    MonteCarlo.jl

    MonteCarlo.jl

    Classical and quantum Monte Carlo simulations in Julia

    MonteCarlo.jl is a package implementing classical and quantum Monte Carlo simulations primarily for solid state physics. Currently the focus is on finding a overall design for the package and verifying that determinant Quantum Monte Carlo (DQMC) is working correctly. As such the package may still go through significant changes and the documentation may be outdated and incomplete. Note that classical Monte Carlo is also not a focus at this point.
    Downloads: 0 This Week
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  • 7
    Starlight.jl

    Starlight.jl

    A greedy game engine for greedy programmers

    ...Furthermore, there are plans to allow selective enabling of different subsystems, meaning it could be used for GUI apps or pure physics simulation or anything else you can imagine.
    Downloads: 0 This Week
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  • 8
    Nonlinear Dynamics

    Nonlinear Dynamics

    A concise introduction interlaced with code

    This repository holds material related with the textbook Nonlinear Dynamics: A Concise Introduction Interlaced with code, co-authored by George Datseris and Ulrich Parlitz. The textbook will be published by Springer-Nature, in the series Undergraduate Lecture Notes in Physics.
    Downloads: 0 This Week
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  • 9
    JuliaFEM.jl

    JuliaFEM.jl

    The JuliaFEM software library is a framework

    ...It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. The basic design principle is: that everything is nonlinear. All physics models are nonlinear from which the linearization are made as special cases.
    Downloads: 0 This Week
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