| --- |
| license: cc-by-nc-4.0 |
| language: |
| - en |
| tags: |
| - cfd |
| - sciml |
| pretty_name: Laser-Induced Droplet Explosion(LIDE) |
| size_categories: |
| - 10B<n<100B |
| --- |
| |
| # Description: |
|
|
| This Dataset includes 128 trajectories of time-dependent Laser-Induced Droplet Explosion (LIDE). Using a Finite |
| Volume solver, we solve the two-dimensional (2D) axisymmetric compressible Euler equations for this multiphase problem. |
|
|
| # MetaData |
|
|
| * dataset_name: Laser-Induced Droplet Explosion, |
| * PDE: 2D axisymmetric compressible Euler equations, |
| * created: 08-2025, |
| * time_dependent: true, |
| * include_initial_state: true, |
|
|
| # Spatiotemporal Info. |
|
|
| * num_trajectories: 128, |
| * num_time_steps: 201, |
| * num_channels: 6, |
| * channel_names: ["density", "pressure", "velocity_x", "velocity_y", "schlieren", "energy"], |
| * spatial_dimensions: 2, |
| * spatial_grid_size: [256, 256], |
| * dx=dy: 1.250000000e-07 [m] |
|
|
| # Boundary conditions |
|
|
| * west: Axisymmetric, |
| * east: ZeroGradient, |
| * south: Symmetry, |
| * north: ZeroGradient |
|
|
|
|
| > Two separet files, "train.h5" and "test.h5", are provided. The former includes 96 trajectories for training and validation; the latter covers the 32 remaining trajectories for inference only. |
|
|
| > Refer to the "metadat.json" file for more details on the dataset. |
|
|
| # Download |
|
|
| The dataset can be downloaded, e.g., via `huggingface-cli download`. |
|
|
| ```bash |
| huggingface-cli download FluidVerse/SIDA --repo-type dataset --local-dir <LOCAL_DIR> |
| ``` |
|
|
| # Assembly |
|
|
| After download, data parts for each file, trai.h5n or test.h5, can be assembled into a single HDF5 file using the provided assemble.py script. Use it as follows: |
| ```bash |
| python ./assemble.py --folder_path <FOLDER_PATH> --output_path <OUTPUT_PATH> |
| ``` |
|
|
|
|
| # Strict Licensing Notice: |
|
|
| This dataset is released under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) and is exclusively for non-commercial research and educational purposes. Any commercial use—including, but not limited to, training machine learning models, developing generative AI tools, creating software products, or other commercial R&D applications—is strictly prohibited. |
