@inproceedings{0730e39f8d86404cb2c18500a37c093a,
title = "A machine learning framework for the quantification of the uncertainties associated with ab-initio based modeling of non-equilibrium flows",
author = "Simone Venturi and Maitreyee Sharma and Marco Panesi",
note = "Funding Information: The authors have benefited from numerous discussions with Dr. R. L. Jaffe and Dr. D. W. Schwenke at NASA Ames Research Center, with regards to non-equilibrium kinetics and potential energy surfaces, and with Mr. A. Sahai, Mr. A. Alberti and Mr. A. Racca at University of Illinois at Urbana-Champaign, about machine learning applications. The authors also thank Dr. A. Munaf{\'o}, for his contribution to this paper through his KONIG Fortran program, and Dr. B. Lopez, for his help in developing the I-VVTC code.; AIAA Scitech Forum, 2019 ; Conference date: 07-01-2019 Through 11-01-2019",
year = "2019",
doi = "10.2514/6.2019-0788",
language = "English (US)",
isbn = "9781624105784",
series = "AIAA Scitech 2019 Forum",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Scitech 2019 Forum",
}