Welcome to DeepFlame’s Documentation

DeepFlame is a deep learning empowered computational fluid dynamics package for single or multiphase, laminar or turbulent, reacting flows at all speeds. It aims to provide an open-source platform to combine the individual strengths of OpenFOAM, Cantera, and PyTorch libraries for deep learning assisted reacting flow simulations. It also has the scope to incorporate next-generation heterogenous supercomputing and AI acceleration infrastructures such as GPU and FPGA.

The deep learning algorithms and models used in the DeepFlame tutorial examples are made available in AIS Square for community data sharing – DF-ODENet. Please refer to the website for detailed information.


This project is under active development.

Contributing to DeepFlame