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Dec 29, 2023
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Update README.md #413

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Expand Up @@ -27,6 +27,15 @@ The neural network models used in the tutorial examples can be found at– [AIS
Detailed guide for installation and tutorials is available on [our documentation website](https://deepflame.deepmodeling.com).

## Features
New in v1.3.0:
- Complete the full-loop GPU implementation of the `dfLowMachFoam` solver, enabling efficient execution of all computations on GPU
- Introduce `DF-ODENet` model, which utilizes sampling from typical combustion simulation benchmarks to reduce training costs and improve computational efficiency
- Support Large Eddy Simulation (LES) and two-phase combustion simulation capabilities
- Expand the `flareFGM` table to six dimensions and add support for neural network replacement of certain physical quantities in the new six-dimensional `flareFGM` table
- Support multi-GPU and multi-processor execution through the `DeepFGM` neural network interface
- Modify Cantera's approach to transport property calculations to support real fluid thermophysical property calculation of multi-component reactive flows and integrate neural networks for updating real fluid thermophysical properties
- Add new example cases and update the documentation homepage to provide more comprehensive installation and usage instructions

New in v1.2.0 (2023/06/30):
- Enable GPU acceleration for fast and efficient discrete matrix construction for solving partial differential equations
- Introduce `DeePFGM` model: a neural network-based approach to replace the flamelet database of the FGM model and reduce memory requirement
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