Dataset for a physics informed deep learning method with adaptively weighted loss for modeling soil water flows

The data for the 11 scenarios generated by Hydrus-1D is located in data.zip The code for the physics-informed neural networks with adaptively weighted loss used to simulate water flow in loam soils is located at PINN_adaptively_weighted_loss_loam.zip由Hydrus-1D模型生成的11组情景数据存储于data.zip压缩包中。用于模拟壤土中水流运移过程的带自适应加权损失函数的物理引导神经网络（Physics-Informed Neural Networks, PINN）代码存储于PINN_adaptively_weighted_loss_loam.zip压缩包中。