Wi-Re/SFBC_dataset_III

该数据集包含用于论文《Symmetric basis convolutions for learning lagrangian fluid mechanics》（发表于ICLR 2024）的第一个测试案例（1D compressible SPH）的数据。数据集以hdf5文件格式存储，每个实验对应一个文件，文件中包含配置参数和模拟的每一帧数据。2D测试案例有预定义的训练/测试分割，而1D和3D案例则没有。

This dataset contains the data for the first test case (1D compressible SPH) for the paper Symmetric basis convolutions for learning lagrangian fluid mechanics (Published at ICLR 2024). The datasets are stored as hdf5 files with a single file per experiment. Within each file there is a set of configuration parameters and each frame of the simulation stored separately as a group. Each frame contains information for all fluid particles and all potentially relevant information. For the 2D test cases there is a pre-defined test/train split on a simulation level, whereas the 1D and 3D cases do not contain such a split. The dataset also includes a simple Jupyter notebook (Visualizer.ipynb) that loads and visualizes the dataset, and performs simple training to learn the SPH summation-based density for different basis functions.