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[Doc] Update README #715

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[Doc] Update README #715

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -31,8 +31,9 @@ PaddleScience 是一个基于深度学习框架 PaddlePaddle 开发的科学计
| 微分方程 | [洛伦兹方程](https://paddlescience-docs.readthedocs.io/zh/latest/zh/examples/lorenz) | 数据驱动 | Transformer-Physx | 监督学习 | [Data](https://github.com/zabaras/transformer-physx) | [Paper](https://arxiv.org/abs/2010.03957) |
| 微分方程 | [若斯叻方程](https://paddlescience-docs.readthedocs.io/zh/latest/zh/examples/rossler) | 数据驱动 | Transformer-Physx | 监督学习 | [Data](https://github.com/zabaras/transformer-physx) | [Paper](https://arxiv.org/abs/2010.03957) |
| 算子学习 | [DeepONet](https://paddlescience-docs.readthedocs.io/zh/latest/zh/examples/deeponet) | 数据驱动 | MLP | 监督学习 | [Data](https://deepxde.readthedocs.io/en/latest/demos/operator/antiderivative_unaligned.html) | [Paper](https://export.arxiv.org/pdf/1910.03193.pdf) |
| 微分方程 | 梯度增强的物理知识融合PDE求解<sup>coming soon</sup> | 机理驱动 | gPINN | 半监督学习 | - | [Paper](https://www.sciencedirect.com/science/article/abs/pii/S0045782522001438?via%3Dihub) |
| 微分方程 | [梯度增强的物理知识融合 PDE 求解](https://github.com/PaddlePaddle/PaddleScience/blob/develop/examples/gpinn/poisson_1d.py) | 机理驱动 | gPINN | 无监督学习 | - | [Paper](https://doi.org/10.1016/j.cma.2022.114823) |
| 积分方程 | [沃尔泰拉积分方程](https://paddlescience-docs.readthedocs.io/zh/latest/zh/examples/volterra_ide) | 机理驱动 | MLP | 无监督学习 | - | [Project](https://github.com/lululxvi/deepxde/blob/master/examples/pinn_forward/Volterra_IDE.py) |
| 微分方程 | [分数阶微分方程](https://github.com/PaddlePaddle/PaddleScience/blob/develop/examples/fpde/fractional_poisson_2d.py) | 机理驱动 | MLP | 无监督学习 | - | - |

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<p align="center"><b>技术科学(AI for Technology)</b></p>
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