The best way to start contributing and collaborating with us is to send an email to blast.net.ml@gmail.com for onboarding instructions.

We also have a Google Form that provides a checklist for your contributed data.

Before that, do check out our standards and formats below.

Standards for BLASTNet

To ensure that all files available on BLASTNet have consistent file formats, we present some necessary standards for improved access:

  1. All simulation datasets must contain [U,ρ,T,P,Y] to ensure that any additional variables can be easily post-processed. Provide Chemkin or Cantera files if used so that thermodynamic and transport properties can be computed.
  2. X,Y,Z variables can be provided as a mathematical function for structured grids or a single snapshot of the X,Y,Z values.
  3. Shared simulation datasets must have a corresponding publication or conference submission.
  4. All uncompressed files should be in Little Endian float32 binaries. A Colab/tutorial on how to read and write this format in Python can be found here.
  5. Datasets should be uploaded onto Kaggle (tutorial) to simplify batch access via a command line API.
  6. Once files are shared with these standards are met, join BLASTNet by submitting the form above.

Metadata Format

Each submission on BLASTNet should have global and local metadata contained in an info.json file, which provides all the important information required to train an ML model. You can interact with these files here.

Global Metadata

metadata['global'] = {
	"dataset_id":"waitongchung/inert-ch4o2-hit-dns",
		"Nxyz": [129,129,129],
	"snapshots":98,
	"variables":["UX_ms-1","UY_ms-1","UZ_ms-1"
	            ,"P_Pa","T_K","RHO_kgm-3",
	            "YO2","YCH4"],
	"compression":"None",
	"grid":{"x":"./grid/X_m.dat",
	        "y":"./grid/Y_m.dat",
	        "z":"./grid/Z_m.dat"
	       },
	"bc":"Periodic in x-, y-, and z-directions.",
	"ic":{"U": "HIT Von Karman Pao with Re_t = 80 and integral lengthscale of 62.5E-6m",
	      "T [K]": 300,
	      "P [Pa]":101325,
	      "Mixture":"CH4-O2 inert branch from 1D cantera counterflow calculations."},
	 "doi":"https://doi.org/10.1016/j.combustflame.2021.111758",
	 "contributors":"Wai Tong Chung and Matthias Ihme",
	 "description":"Compressible Inert CH4-O2 Homogeneous Isotropic Turbulence DNS",
	 "chem_thermo_tran":{"cantera_xml":"./chem_thermo_tran/bfer.xml"}      
	}

Local Metadata

metadata['local'] = [
	{
	"id": 20,
	"time [s]": 6.88389e-06,
	"UX_ms-1 filename": "./data/UX_ms-1_id020.dat",
	"UY_ms-1 filename": "./data/UY_ms-1_id020.dat",
	"UZ_ms-1 filename": "./data/UZ_ms-1_id020.dat",
	"P_Pa filename": "./data/P_Pa_id020.dat",
	"T_K filename": "./data/T_K_id020.dat",
	"RHO_kgm-3 filename": "./data/RHO_kgm-3_id020.dat",
	"YO2 filename": "./data/YO2_id020.dat",
	"YCH4 filename": "./data/YCH4_id020.dat"
	 },
	 {...},
	 {...}
   ]   

Authors and Contributors

We thank the following people for contributing and curating this network-of-datasets:

Name Affilliation Date Joined    
Wai Tong Chung Stanford University June 6 2022    
Matthias Ihme Stanford University, SLAC National Laboratory June 6 2022    
Ki Sung Jung Sandia National Laboratory June 6 2022    
Jacqueline H. Chen Sandia National Laboratory June 6 2022    
Jack Guo Stanford University June 6 2022    
Davy Brouzet Stanford University June 6 2022    
Mohsen Talei University of Melbourne June 6 2022    
Bin Jiang University of Melbourne Nov 18 2022    
Bruno Savard Polytechnique Montréal Jan 26 2023    
Alexei Y. Poludnenko University of Connecticut June 7 2023    
Bassem Akoush Stanford University June 7 2023    
Pushan Sharma Stanford University June 7 2023    
Alex Tamkin Stanford University June 7 2023    
Qing Wang Google August 29 2023    
Shantanu Shahane Google August 29 2023    
Yifan Chen Google August 29 2023    
Victor Coulon CERFACS February 27 2024    
Corentin Lapeyre CERFACS February 27 2024    
Michael Gauding RWTH Aachen University November 22 2024    
Roshan Samuel Technische Universität Ilmenau November 22 2024    
Mathis Bode Jülich Supercomputing Centre November 22 2024    
Jörg Schumacher TU Ilmenau November 22 2024    
Beverley Yeo Stanford University December 11 2024    
Jen Zen Ho Stanford University March 5 2025    
Quentin Malé Harvard University April 15 2025    
Cenk Gazen Google April 15 2025    
Daniel Dotson Georgia Institute of Technology September 8 2025    
P.K Yeung Georgia Institute of Technology September 8 2025    
Myoungkyu Lee University of Houston September 10 2025    
<!– M Rieth Sandia National Laboratory   –>

Funding

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