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沙金-华理/PINNs代码汇总

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Apache-2.0

一、有代码

0、无源项一维波动问题的PINN的Python torch实现

1、物理信息神经网络PINN求解二维Helmholtz方程的Python torch实现

2、Klein-Gordon方程的物理信息神经网络PINN的Python实现

3、Navier-Stokes方程组-方腔流体问题的PINNs Python实现

4、关于我复现了2篇使用物理信息神经网络计算热力学正、反相关问题的一些收获

5、基于物理信息神经网络的Burgers-Fisher方程求解方法及其Python代码复现

6、基于物理信息神经网络PINN求解Burger方程python实现

7、二维的Navier–Stokes方程组的PINN解法

8、多非常陡峭区域的Allen-Cahn方程的梯度增强物理信息神经网络gPINN Python torch实现

9、Burgers'方程的参数反演的Python torch实现

10、梯度增强物理信息神经网络 (gPINN)求解矩形薄板力学正反问题(附Python代码实现)

11、基于物理信息神经网络的传热过程物理场代理模型的构建|具有内热源的二维稳态导热方程

12、平板间的二维稳态对流传热方程的软物理信息神经网络(软PINN)Python torch实现

13、二维的Navier–Stokes方程组反演的物理信息神经网络PINN的Python实现

14、2D非稳态导热问题的物理信息神经网络PINNs求解的Python torch实现

15、泊松方程的物理信息神经网络PINN解法(MATLAB版本)

16、基于物理信息神经网络PINN求解Burger'方程MATLAB实现

17、复现《区域压缩 PINN 算法在双曲守恒律方程求解中的应用》的Python torch实现

18、复现《TaylorPINN 在2D Helmholtz方程的解法》Python torch实现

19、波动方程的PINN解法

20、3阶常微分方程(ODE)的物理信息神经网络PINNs混合驱动解法

21、稳态对流扩散方程的PINN解法

22、波动方程反问题(参数识别)的物理信息神经网络PINN解法

23、非线性薛定谔方程的物理信息神经网络PINN实例

24、常微分方程组-洛伦兹系统的反演-PINN解法

26、Korteweg-de Vries (KdV) 方程的物理信息神经网络PINNs解法

27、复杂边界条件波动方程的”零可控性“问题的PINN实现

28、Kawahara 方程的物理信息神经网络求解例子

29、矩形域内的热扩散方程的反演

30、龙格库塔物理信息神经网络RKPINN反演Korteweg-de Vries方程

31、龙格库塔物理信息神经网络求解0.0001AC方程

32、Kuramoto-Sivashinsky方程的2个物理信息神经网络PINNs实例研究

33、使用物理信息神经网络求解固体力学案例的torch实战

34、物理信息神经网络PINNs求解麦克斯韦方程

35、嘎嘎牛逼的傅里叶编码物理信息神经网络求解2D-Helmholtz方程实例

36、物理信息神经网络PINNs在微分方程ODE反演问题的应用

37、间断问题扩散正则化的 PINN 反问题求解算法-案例2torch代码

38、积分微分方程 (IDE)的PINN的torch实战

39、自适应激活函数优化的物理信息神经网络求解二维Helmholtz方程

40、混合变量PINN求解纳维-斯托克斯方程

41、多网络物理信息神经网络求解固体力学-非线性弹塑性案例

42、单网络物理信息神经网络求解固体力学-非线性弹塑性案例

43、多尺度物理信息神经网络求解复域中的泊松方程

44、PINN反演固体力学多参数的案例-torch实战

45、使用物理信息神经网络求解固体力学案例的torch实战

二、理论(无代码)

1、物理信息神经网络CS-PINN与龙格-库塔物理信息神经网络RK-PINN(理论篇)

2、基于泰勒展开改进的物理信息神经网络TaylorPINN

3、关于我复现了2篇使用物理信息神经网络计算热力学正、反相关问题的一些收获

4、什么是物理信息神经网络(PINN)?

5、还不交叉物理信息神经网络PINNs,你在等啥?

6、物理信息神经网络PINNs的正确使用方式-Debug的一天

7、梯度增强物理信息神经网络gPINN

8、区域压缩物理信息神经网络 RCPINN 算法

9、逆设计中具有硬约束的物理信息神经网络hPINN

10、龙格库塔物理信息神经网络RKPINNs

11、极限学习机

12、变压物理信息神经网络GOPINNs

12、自适应激活函数加速深度物理信息神经网络的收敛

12、求解积分-微分方程的PINNs(原理篇)

12、傅立叶特征网络的特征向量偏差:从回归到用物理信息神经网络求解多尺度偏微分方程

12、用于求解复杂域中的泊松-玻尔兹曼方程的多尺度深度神经网络 (MscaleDNN)

三、AI4CFD

1、AI4CFD前沿进展-DDPM扩散模型预测非线性流场

1、AI4CFD前沿进展-用于高保真流场重建的物理信息扩散模型

1、AI4CFD前沿进展-可分离PINN:减轻物理信息神经网络中维度的诅咒

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