metadata
license: mit
task_categories:
- other
tags:
- physics
- additive-manufacturing
- mesh
- simulation
- 3d-field-prediction
- pde
PDE Datasets for FLARE
This repository contains the datasets used in the paper FLARE: Fast Low-rank Attention Routing Engine.
- Paper: arXiv:2508.12594
- Code: GitHub - vpuri3/FLARE.py
Dataset Description
The collection includes:
- PDE Benchmarks: Standard datasets used to evaluate neural PDE surrogates, such as Elasticity and Darcy flow.
- Additive Manufacturing (AM) Benchmark: A new 3D field prediction benchmark derived from numerical simulations of the Laser Powder Bed Fusion (LPBF) process. This dataset was generated on selected geometries from the Autodesk segmentation dataset and includes displacement fields and thermal histories on unstructured meshes.
Usage
You can download the datasets using the utility script provided in the official repository:
git clone https://github.com/vpuri3/FLARE.py.git
cd FLARE.py
chmod +x scripts/download_data.sh
./scripts/download_data.sh
Citation
If you use this dataset in your work, please cite:
@misc{puri2025flare,
title={{FLARE}: {F}ast {L}ow-rank {A}ttention {R}outing {E}ngine},
author={Vedant Puri and Aditya Joglekar and Kevin Ferguson and Yu-hsuan Chen and Yongjie Jessica Zhang and Levent Burak Kara},
year={2025},
eprint={2508.12594},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2508.12594},
}
License
This dataset is released under the MIT License.
Contact
For questions about the dataset or related research, feel free to reach out via the GitHub repository.