BLASTNet Simulation Dataset
DOI10.5281/zenodo.10732791Zenodo10732791MaRDI QIDQ6706764
Dataset published at Zenodo repository.
Alexei Y. Poludnenko, Wai Tong Chung, Mohsen Talei, Qing Wang, Bruno Savard, Matthias Ihme, Bassem Akoush, Jack Guo, Chen Yifan, Davy Brouzet, Bin Jiang, Shantanu Shahane, Alex Tamkin, Victor Coulon, Pushan Sharma, Jacqueline H. Chen, Ki Sung Jung, Corentin J. Lapeyre
Publication date: 27 February 2024
Copyright license: Creative Commons Attribution 4.0 International
Go to https://blastnet.github.io/to access and download thisreacting and non-reacting flow physics simulations. Mission BLASTNet 2.1 was developed to provide the researchers in reacting and non-reacting flow physics communities with high-fidelity simulation datasets in a convenient format for ML applications. With ~5 TB, 765 full-domain samples, and 36 configurations, BLASTNet can effectively address these gaps and aid in fostering open/fair ML development within reacting and non-reacting flow physics communities. Application This data is useful for fluid flows in a wide range of ML applications tied to automotive, propulsion, energy, and the environment. Specifically, scientific engineering tasks related to these domains may include turbulent closure modeling, spatio-temporal modeling, and inverse modeling.
This page was built for dataset: BLASTNet Simulation Dataset
