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 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