From 109919ad8ed97476e3f24af98748a7caecd9d7bb Mon Sep 17 00:00:00 2001
From: pkuLmq <1900011062@pku.edu.cn>
Date: Thu, 22 Aug 2024 19:35:22 +0800
Subject: [PATCH 1/2] update ReadMe

---
 README.md | 13 +++++++++++++
 1 file changed, 13 insertions(+)

diff --git a/README.md b/README.md
index 02b61309..a68d2689 100644
--- a/README.md
+++ b/README.md
@@ -27,6 +27,19 @@ 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 v1.4 (2024/8/22):
+- Reorganize the update order of mass, velocity and temperature for Lagrangian particles and introduce the liquidEvaporationSpalding model as new evaporation model.
+- Add source terms for liquid phase in the `dfLowMachFoam` solver
+- Incorporate Euler-Lagrangian source terms into the `dfHighSpeedFoam` solver to facilitate numerical simulations of two-phase supersonic reactive flows
+- Provide new flux schemes (including HLLC and HLLCP) for `dfHighSpeedFoam` solver (adopted from detonationFoam ) and do some modifications
+- Add lagrangianExtraFunctionObjects function (adopted from lagrangianExtraFunctionObjects ) in submodules to write to disk in the old positions file format
+- Introduce new cases to evaluate the accuracy of `dfHighSpeedFoam` solver and provide two-phase 1D/2D detonation cases
+- Add AUSMDV scheme as new flux scheme for `dfHighSpeedFoam`
+- Add compatibility of neural network training and inference for chemical source terms with the Baidu PaddlePaddle framework
+- Adjust original examples referring to the modification of solvers
+- Add 2D aachenBomb case in test
+- Update PaddlePaddle options for DNN model development and inference in document homepage
+
 New in v1.3 (2023/12/30):
 - 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 canonical combustion simulation configurations to reduce training costs and improve computational efficiency

From 1ef356e0c252277b90b9482dfadbfeebff7f743f Mon Sep 17 00:00:00 2001
From: pkuLmq <1900011062@pku.edu.cn>
Date: Thu, 22 Aug 2024 20:36:36 +0800
Subject: [PATCH 2/2] adjust expression in ReadMe

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a68d2689..e472948b 100644
--- a/README.md
+++ b/README.md
@@ -35,7 +35,7 @@ New in v1.4 (2024/8/22):
 - Add lagrangianExtraFunctionObjects function (adopted from lagrangianExtraFunctionObjects ) in submodules to write to disk in the old positions file format
 - Introduce new cases to evaluate the accuracy of `dfHighSpeedFoam` solver and provide two-phase 1D/2D detonation cases
 - Add AUSMDV scheme as new flux scheme for `dfHighSpeedFoam`
-- Add compatibility of neural network training and inference for chemical source terms with the Baidu PaddlePaddle framework
+- add compatibility of neural network inference for chemical source terms with the Baidu PaddlePaddle framework
 - Adjust original examples referring to the modification of solvers
 - Add 2D aachenBomb case in test
 - Update PaddlePaddle options for DNN model development and inference in document homepage