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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.
Features
- Physical models and numerical schemes
- Neural models and machine learning methods
- Optional high-performance Fortran backend
- High-fidelity solution algorithms
- Intrusive uncertainty quantification methods
- Python interface built on top of pyjulia
Project Samples
License
MIT LicenseFollow Kinetic.jl
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