DeepFlame v1.1.1

Features

• Bug fix for convection scheme in EEqn.H by @minzhang0929 in #241

Build Test

• Fix the test according to the bug fix for EEqn. by @JX278 in #242

Document

• Update README.md by @xiao312 in #235
• Add LOGO to documentation page by @xiao312 in #236
• Change DeepFlame LOGO by @xiao312 in #237
• Add cmake instruction by @JX278 in #238
• Add flareFGM README by @JX278 in #243

Refactoring

• Update EEqn.H & YEqn.H for dfLowMachFoam and dfSprayFoam by @xiao312 in #245

Full Changelog: v1.1.0...v1.1.1

DeepFlame v1.1.0

Features

• add GPU-compatible linear solver amgx by @maorz1998 in #222
• update PaSR by @minzhang0929 in #223
• Add CMake build by @JX278 in #228
• modify CMakeLists by @maorz1998 in #232
• modify CMakeLists for compiling binary by @maorz1998 in #234

Build Test

• update EDC case to PaSR by @minzhang0929 in #225
• Update 2DSandiaD test for Actions by @xiao312 in #229

Bug Fix and Improvement

• Update tableSolver.C by @haixiao-stack in #218
• Fix minor problems in CMake by @JX278 in #230
• Fix problems in Cmake by @JX278 in #233

Document

• Update input.rst by @minzhang0929 in #224
• Update Docs for AMGX by @JX278 in #231

New Contributors

• @haixiao-stack made their first contribution in #218

Full Changelog: v1.0.0...v1.1.0

DeepFlame v1.0.4

Features

• remove mpi communications in DNN solving procedure when use pure CPU by @maorz1998 in #211

Build Test

• Add TCI test by @JX278 in #217

Bug Fix and Improvement

• fix a minor problem in install.sh by @JX278 in #209

Document

• Update README.md Features information by @xiao312 in #213

Full Changelog: v1.0.3...v1.0.4

DeepFlame v1.0.3

Features

• add new loadBalancing algorithm by @maorz1998 in #205
• remove mpi communications in DNN solving procedure when use pure CPU by @maorz1998 in #207

Build Test

• upload falreFGM case by @minzhang0929 in #208

Bug Fix and Improvement

• fix bugs in updating solution buffer by @maorz1998 in #199
• bug fixing for FGM by @minzhang0929 in #208

Refactoring

• refactor dfChemistryModel by @OpenFOAMFans in #204
• compile DNNInferencer.so via install.sh by @maorz1998 in #206

Full Changelog: v1.0.2...v1.0.3

DeepFlame v1.0.2

Features

• FGM by @minzhang0929 in #187
• solving chemical source term simultaneously on GPU (DNN) and CPU (CVODE) by @maorz1998 in #190

Bug Fix and Improvement

• Update YEqn.H @minzhang0929 by @JX278 in #185

Document

• Update input.rst by @minzhang0929 in #191

Refactoring

• reconstructed dfChemistryModel V1 by @maorz1998 in #189

Full Changelog: v1.0.1...v1.0.2

DeepFlame v1.0.1

Build Test

• Update Actions by @JX278 in #166
• Update CPU_inferencce_validation.yml by @JX278 in #170

Bug Fix and Improvement

• Update dfChemistryModel.C by @minzhang0929 in #171
• fix a bug in dfChemistryModel::correctThermo by @OpenFOAMFans in #177

Document

• Add docs for CH4 2D-TGV and HIT case by @hanli94 in #155
• Update README.md for v1.0.0 and hold place for final changes by @zhixchen in #164
• Update dfLowMachFoam.rst by @hanli94 in #168
• update temperature contour of aachenBomb in document by @hhflame in #179

Refactoring

• Refactoring: update soft links to DNN for pytorch H2 examples by @hhflame in #153
• Description of the Sydney spray burner case by @minzhang0929 in #152
• Case of Sydney spray burner by @minzhang0929 in #154
• Refactoring: update examples by @hhflame in #160
• Refactoring: update CH4 examples by @hhflame in #161
• update Allrun by @minzhang0929 in #162
• make some scripts executable and delete CH4 case in threeD_reactingTGV by @hhflame in #165
• Refactoring: update Allclean scripts for zeroD examples by @hhflame in #167
• update Libtorch cases by @JX278 in #169

Full Changelog: v1.0.0...v1.0.1

DeepFlame v1.0.0 – Towards AI + GPU empowerd Combustion CFD

Release Note

This release offers the first formal version of DeepFlame. Nearly half a year after the v0.1.0 release, significant progresses have been made towards our core methodology of AI+HPC+CombustionCFD. Now DeepFlame can run on multiple CPU+GPU configurations showing several orders of magnitude gain in computational speed for canonical reactive flow benchmarks. Another key improvement is the hybrid Python/C++ programming, which separates the AI related development from the C++ codes but in stand-alone Python. In addition, our brand-new documentation website is online and will further enhance the user experience.

Update History

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, .xml or .yaml formats
• Full compatibility with Cantera's UnityLewis, Mix and Multi transport 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 examples and tutorial cases with Allrun and Allclean scripts
  • 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

Features

• add combustion model by @OpenFOAMFans in #4
• add diffusion velocity correction dfSprayFoam by @OpenFOAMFans in #7
• WIP: include chemistry load balancing, adapted from DLBFoam by @maorz1998 in #8
• complete chemistry loadbalance by @maorz1998 in #13
• add diffusion velocity correction and timing function for dfHighSpeedFoam, correct alpha in rhoEEqn.H and clean the code by @pkuLmq in #9
• add AMR as adopted from SOFTX_2018_143 and multiDimAMR by @pkuLmq in #25
• adapt functionObjects/field to deepflame; add LES turbulent models: dynamicSmagorinsky and Sigma by @OpenFOAMFans in #31
• merge TCI model by @OpenFOAMFans in #59
• multi-gpu implementation via pybind11 & pytorch by @maorz1998 in #91
• add strang splitting in dfLowMachFoam by @maorz1998 in #106
• DNN inference with multi GPU cards via libtorch by @maorz1998 in #122
• add option for cpu inferencing in pytorch version by @maorz1998 in #133

Build Test

• Create build_test.yml by @JX278 in #51
• add compile args for pytorch by @OpenFOAMFans in #93

Bug Fix and Improvement

• fix a bug in ReactingParcel by @OpenFOAMFans in #42
• fix a bug in LiquidEvaporationBoil by @OpenFOAMFans in #50
• fix a bug about spray energy source term by @OpenFOAMFans in #66
• fixed a bug in evaporation model by @hhflame in #113
• Fix bug in correctThermo when updating diffusivity coefficient on boundary patches by @zhixchen in #117

Documentation

• Document by @JX278 in #65
• Add license to document by @JX278 in #108

Refactoring

• use member data hc_ to store chemical enthalpy by @OpenFOAMFans in #16
• correct fvc to fvm in rhoEEqn.H and add inviscid switch by @pkuLmq in #21
• add CH4 test examples of 0D and 1D and change the dictionary file by @uptonwu in #40
• adapt solvers with dfCombustionModel by @OpenFOAMFans in #48
• use reference instead of copy to do data conversion in pybind11 by @maorz1998 in #116

Full Changelog: v0.1.0...v1.0.0

DeepFlame v0.6.0

Bug Fixes and Improvements

• DNN inference with multi GPU cards via libtorch by @maorz1998 in #122
• fix bugs in solver/make/options and solver.c by @JX278 in #112
• update the criterion choosing networks by @maorz1998 in #114
• fix bugs in compilation process by @maorz1998 in #115
• fixed a bug in evaporation model by @hhflame in #113
• use reference instead of copy to do data conversion in pybind11 by @maorz1998 in #116
• Fix bug in correctThermo when updating diffusivity coefficient on boundary patches by @zhixchen in #117
• modify install procedure & modify settings in CanteraTorchProperties by @maorz1998 in #140
• modify CanteraTorchProperties in libtorch by @maorz1998 in #141
• Add Allwclean by @JX278 in #139
• optimize compile process by @OpenFOAMFans in #130
• Add fields for recording the slection of DNN by @minzhang0929 in #131
• update dfChemistryModel by @maorz1998 in #132
• add option for cpu inferencing in pytorch version by @maorz1998 in #133
• fix a bug in using libtorch by @maorz1998 in #127
• force reading combustionProperties, update dfHighSpeedFoam and examples by @pkuLmq in #120
• update install.sh to print DeepFlame box by @zhixchen in #125
• Fix cpu inference by @JX278 in #145
• rename lib CanteraMixture to dfCanteraMixture; now deepflame generates bin and lib to its own directory by @OpenFOAMFans in #142

Testing

• Update Validation by @JX278 in #121
• Update Validation and cases by @JX278 in #143

Document

• Update contributors.rst by @zhixchen in #107
• Add license to document by @JX278 in #108
• Update dfSprayFoam.rst by @JX278 in #111
• Update torch_build.yml by @JX278 in #118
• Update Docs by @JX278 in #137
• Update Docs by @JX278 in #134
• Update docs and README by @JX278 in #135
• update docs by @maorz1998 in #128

Case Update

• Update CH4 cases by @JX278 in #138
• Add "pytorchSolver" sub-directory and soft links by @hhflame in #119
• modify test case by @JX278 in #123
• fix a bug in soft links and add files necessary to run case with pytorch by @hhflame in #124
• fix a bug for directory soft links by @hhflame in #126
• Add pytorchDNN files by @hhflame in #129
• update settings of examples and add libtorchDNN by @hhflame in #136
• restore odeCoeffs to -6 & -10 in torch cases by @hhflame in #144

New Contributors

• @minzhang0929 made their first contribution in #131

Full Changelog: v0.5.0...v0.6.0

DeepFlame v0.5.0

Features

• Add support for the parallel computation of DNN via single and multiple GPUs. @maorz1998 #71
• Add access for utilizing PyTorch. @maorz1998 #71
• Enable compilation options for users to choose among different integrators. @OpenFOAMFans @maorz1998 #90 #96
• Add strang splitting method in dfLowMachFoam solver. @maorz1998 #106

Bug Fixes and Improvements

• Fix the bug for diffusion correction in dfHighSpeedFoam. @pkuLmq #87
• Fix a bug about spray energy source term. @OpenFOAMFans #66

Document

• Upload and update the document and copyright statement. @JX278 @pkuLmq @zhixchen #98

Testing

• Add build test for GPU version. @JX278 #98

Code Refactoring

• Update calculation of kappa for single species. @OpenFOAMFans #74

DeepFlame v0.4.0

Deepflame v0.4.0 is a pre-release version and the following developments are included:

• The official OpenFOAM combustion library has been adapted with DeepFlame.
• Now there is three combustion modes: laminar; EDC; PaSR.
• All of the three models was validated with official OpenFOAM case.