07-30, 13:00–13:30 (UTC), Red Track
NetworkDynamics.jl is a tool for dynamical modeling and analysis of large, inhomogeneous, networked systems. It provides a convenient interface between LightGraphs.jl and DifferentialEquations.jl.
We introduce the basic syntax of our package and showcase applications ranging from neurodynamics to power systems. We conclude with a brief overview of advanced features such as multi-threading, support for SDEs and integration with the machine learning environment DiffEqFlux.jl.
NetworkDynamics.jl is developed at Potsdam Insitut for Climate Impact Research (PIK) to facilitate modeling and analysis of large, inhomogeneous, networked dynamical systems. In such systems local dynamics as well as interactions can be described by differential and/or algebraic equations. ND.jl
serves as the technical core of new efforts to develop state of the art power system models in Julia (PowerDynamics.jl).
The aim of this package is to provide the user with a convenient interface that allows them to focus on building models rather than to worry about numerical intricacies. This is achieved by combining the network package LightGraphs.jl with the fully-featured solver suite DifferentialEquations.jl.
Julia turned out to be the perfect environment for our goal since it can be used like a scripting language for protoyping while matching the speed of FORTRAN and C when writing optimized code.
In this talk we introduce the basic constructors of NetworkDynamics.jl and showcase potential applications ranging from neurodynamics to power systems. We conclude with a brief overview of advanced features such as multi-threading, support for stochastic differential equations and integration with the machine learning environment DiffEqFlux.jl.
Hi, my name is Michael Lindner. Currently, I am working on my PhD project on "Exploring network dynamics with machine learning". I am a member of the non-linear dynamics and control group at TU Berlin and of the complex energy networks (COEN) group at PIK.
I studied Physics at Humboldt-University Berlin and I am currently doing my PhD at the Potsdam Institute for Climate Impact Research. My research is focussed on the modelling and analysis of power grids with fluctuating power infeed.