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

biology chemical-reactions differential-equations dsl gillespie-algorithm julia ode rate-laws reaction-network scientific-machine-learning sciml sde simulation systems-biology systems-biology-simulation
2 Open Issues Need Help Last updated: Jun 20, 2025

Open Issues Need Help

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AI Summary: Create a new documentation page for Catalyst.jl detailing common user mistakes, specifically addressing issues like incorrect placement of `@species`, `@parameters`, and `t` declarations, and the misuse or insufficient use of interpolation. The page should be linked prominently from the existing tutorials.

Complexity: 3/5
good first issue

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

Julia
#biology#chemical-reactions#differential-equations#dsl#gillespie-algorithm#julia#ode#rate-laws#reaction-network#scientific-machine-learning#sciml#sde#simulation#systems-biology#systems-biology-simulation

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

Julia
#biology#chemical-reactions#differential-equations#dsl#gillespie-algorithm#julia#ode#rate-laws#reaction-network#scientific-machine-learning#sciml#sde#simulation#systems-biology#systems-biology-simulation