Kite and tether models for the simulation of kite power systems

Basic functionality for EarthSciML system

Models of gas-phase atmospheric chemistry and related processes

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A standard library of components to model the world and beyond

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Astrodynamics with units! Provides common astrodynamics calculations, plotting, and iterative Halo, Kepler, and Lambert solvers.

Importers for the BaseModelica standard into the Julia ModelingToolkit ecosystem

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

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Generalized mean-field equations in open quantum systems

Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)

High-level model-order reduction to automate the acceleration of large-scale simulations

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Simulators for kite power systems

An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.

Functions to run the SBML Test Suite with SBMLToolkit, create logs and create reports for the SBML Test Suite Database

Automatic Finite Difference PDE solving with Julia SciML

Import dynamic models in the SBML format into a ReactionSystem for Gillespie, SDE and ODE simulations

Create parameter estimation problems for ODE models

Methods for computational information geometry

A helper tool for visualizing and editing a ModelingToolkit.jl system connections

Algorithms for the transport of mass and energy in the environment

A package for obtaining the effective time-averaged Lindbladian.

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

High level functions for analyzing the output of simulations

Optimal experimental design of ODE and DAE systems in julia

Model associated to Elife paper Rodrigues et al. 2023

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

Models of aerosol chemistry and physics using ModelingToolkit.jl

Models of atmospheric deposition using ModelingToolkit.jl

CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

The julia library for the peccon project

Julia Catalyst.jl importers for various reaction network file formats like BioNetGen and stoichiometry matrices

Julia implementation of the bond graph framework

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

Global glacier model using Universal Differential Equations for climate-glacier interactions