Concepts

Structure of Arrhenius.jl

Details of the structure can be found in the publications associated with Arrhenius.jl. Such as

• Machine Learning Approaches to Learn HyChem Models: demonstrate 1000 times faster than genetic algorithms using commercial software for optimizing complex kinetic models.
• Arrhenius.jl: A Differentiable Combustion Simulation Package: overview of Arrhenius.jl and applications in deep mechanism reduction, uncertainty quantification, mechanism tuning and model discovery.
• Neural Differential Equations for Inverse Modeling in Model Combustors

Roadmap

You can particpilate the design of roadmap in the discussions.