Showing 13 open source projects for "dynamics"

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  • 1
    ChaosTools.jl

    ChaosTools.jl

    Tools for the exploration of chaos and nonlinear dynamics

    A Julia module that offers various tools for analyzing nonlinear dynamics and chaotic behavior. It can be used as a standalone package, or as part of DynamicalSystems.jl. All further information is provided in the documentation, which you can either find online or build locally by running the docs/make.jl file. ChaosTools.jl is the jack-of-all-trades package of the DynamicalSystems.jl library: methods that are not extensive enough to be a standalone package are added here.
    Downloads: 3 This Week
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  • 2
    GeophysicalFlows.jl

    GeophysicalFlows.jl

    Geophysical fluid dynamics pseudospectral solvers with Julia

    GeophysicalFlows.jl is a collection of modules that leverage the FourierFlows.jl framework to provide solvers for problems in Geophysical Fluid Dynamics, on periodic domains using Fourier-based pseudospectral methods.
    Downloads: 0 This Week
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  • 3
    ReachabilityAnalysis.jl

    ReachabilityAnalysis.jl

    Compute reachable states of dynamical systems

    Reachability analysis is concerned with computing rigorous approximations of the set of states reachable by a dynamical system. In the scope of this package are systems modeled by continuous or hybrid dynamical systems, where the dynamics change with discrete events. Systems are modeled by ordinary differential equations (ODEs) or semi-discrete partial differential equations (PDEs), with uncertain initial states, uncertain parameters or non-deterministic inputs.
    Downloads: 2 This Week
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  • 4
    Oceananigans.jl

    Oceananigans.jl

    Julia software for fast, friendly, flexible fluid dynamics on CPUs

    Oceananigans is a fast, friendly, flexible software package for finite volume simulations of the nonhydrostatic and hydrostatic Boussinesq equations on CPUs and GPUs. It runs on GPUs (wow, fast!), though we believe Oceananigans makes the biggest waves with its ultra-flexible user interface that makes simple simulations easy, and complex, creative simulations possible.
    Downloads: 4 This Week
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  • 5
    MultilayerGraphs.jl

    MultilayerGraphs.jl

    Julia package for the creation and analysis of multilayer graphs

    MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs. A multilayer graph is a graph consisting of multiple standard subgraphs called layers which can be interconnected through bipartite graphs called interlayers composed of the vertex sets of two different layers and the edges between them. The vertices in each layer represent a single set of nodes, although not all nodes have to be represented in every layer.
    Downloads: 0 This Week
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  • 6
    DynamicalSystems.jl

    DynamicalSystems.jl

    Award winning software library for nonlinear dynamics timeseries

    DynamicalSystems.jl is an award-winning Julia software library for nonlinear dynamics and nonlinear time series analysis. To install DynamicalSystems.jl, run import Pkg; Pkg.add("DynamicalSystems"). To learn how to use it and see its contents visit the documentation, which you can either find online or build locally by running the docs/make.jl file. DynamicalSystems.jl is part of JuliaDynamics, an organization dedicated to creating high-quality scientific software.
    Downloads: 0 This Week
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  • 7
    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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  • 8
    PowerSimulationsDynamics.jl

    PowerSimulationsDynamics.jl

    Julia package to run Dynamic Power System simulations

    PowerSimulationsDynamics.jl is a Julia package for power system modeling and simulation of Power Systems dynamics.
    Downloads: 0 This Week
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  • 9
    Molly.jl

    Molly.jl

    Molecular simulation in Julia

    Much of science can be explained by the movement and interaction of molecules. Molecular dynamics (MD) is a computational technique used to explore these phenomena, from noble gases to biological macromolecules. Molly.jl is a pure Julia package for MD, and for the simulation of physical systems more broadly. The package is described in a talk at Enzyme Conference 2023 and an earlier talk at the JuliaMolSim minisymposium at JuliaCon 2022.
    Downloads: 0 This Week
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  • 10
    Kinetic.jl

    Kinetic.jl

    Universal modeling and simulation of fluid mechanics upon ML

    Kinetic is a computational fluid dynamics toolbox written in Julia. It aims to furnish efficient modeling and simulation methodologies for fluid dynamics, augmented by the power of machine learning. Based on differentiable programming, mechanical and neural network models are fused and solved in a unified framework. Simultaneous 1-3 dimensional numerical simulations can be performed on CPUs and GPUs.
    Downloads: 0 This Week
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  • 11
    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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  • 12
    TimeseriesPrediction.jl

    TimeseriesPrediction.jl

    Prediction of timeseries using methods of nonlinear dynamics

    Repository for predicting time series using methods from nonlinear dynamics and time series analysis. It uses DelayEmbeddings.
    Downloads: 0 This Week
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  • 13
    RigidBodyDynamics.jl

    RigidBodyDynamics.jl

    Julia implementation of various rigid body dynamics

    RigidBodyDynamics.jl is a rigid body dynamics library in pure Julia. It aims to be user friendly and performant, but also generic in the sense that the algorithms can be called with inputs of any (suitable) scalar types. This means that if fast numeric dynamics evaluations are required, a user can supply Float64 or Float32 inputs. However, if symbolic quantities are desired for analysis purposes, they can be obtained by calling the algorithms with e.g.
    Downloads: 0 This Week
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