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 leverage the 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 developed and trained independently by our collaborators team – DeepCombustion. Please refer to their website for detailed information.
Detailed guide for installation and tutorials is available on our documentation website.
New in v0.6.0 (2022/11/14):
- Add support for the parallel computation of DNN using libtorch on multiple GPUs
New in v0.5.0 (2022/10/15):
- Add support for the parallel computation of DNN via single and multiple GPUs
- Add access for utilising PyTorch
New in v0.4.0 (2022/09/26):
- Adapt combustion library from OpenFOAM into DeepFlame
- laminar; EDC; PaSR combustion models
New in v0.3.0 (2022/08/29):
- 1/2/3D adaptive mesh refinement (2/3D adopted from SOFTX_2018_143 and multiDimAMR)
- Add Sigma/dynSmag LES turbulence models
- Add functionObjects/field library
- New example reactiveShockTube for dfHighSpeedFoam
New in v0.2.0 (2022/07/25):
- Dynamic load balancing for chemistry solver (adopted from DLBFoam)
From v0.1.0 (2022/06/15):
- Native Cantera reader for chemical mechanisms in
.cti,.xmlor.yamlformats - Full compatiblity with Cantera's
UnityLewis,MixandMultitransport models - Zero-dimensional constant pressure or constant volume reactor solver
df0DFoam - Pressued-based low-Mach number reacting flow solver
dfLowMachFoam - Density-based high-speed reacting flow solver
dfHighSpeedFoam - Two-phase Lagrangian/Euler spray reacting flow solver
dfSprayFoam - Cantera's native SUNDIALS CVODE solver for chemical reaction rate evaluation
- Torch's tensor operation functionality for neutral network I/O and calculation
- Interface for DNN model to obtain chemical reaction rates
- Multiple example and tutorial cases with
AllrunandAllcleanscripts- 0D Perfectly Stirred Reactor
- 1D Freely Propagating Premixed Flame
- 2D Lifted Partially Premixed Triple Flame
- 3D Taylor-Green Vortex with Flame
- 1D Detotation Wave in Homogeneous Premixed Mixture
- 3D Aachen Bomb Spray Flame
- First release v0.1.0 introduction talk (in Chinese) on DeepModeling Community's official bilibili website.