@inproceedings{dd1b041fd3a7459eb4ad8e7bd0772ba4,
title = "Coarse grain model for energy transfer and dissociation",
abstract = "Recent work in the aerothermodynamics community has focused on the development of reduced-order non-equilibrium models which avoid the conventional assumptions found in multi-temperature models, and the prohibitive cost of State-to-State (StS) models. The objective of this work is to present and validate a framework for constructing a reduced order model by coupling the coarse grain model for model reduction with scattering calculations using the Quasi-Classical Trajectory method. The resulting Maximum-Entropy Quasi-Classical Trajectory (ME-QCT) framework provides a general technique for determining the kinetic data required for the coarse grain model, using a grouping scheme and order of reconstruction as the only model parameters. Validation of the ME-QCT method with a system with known StS kinetics confirms the ME-QCT method as an alternative approach to constructing reduced order models while highlighting the drawbacks of constructing reduced order models using endothermic kinetic data.",
author = "Macdonald, {Robyn L.} and Marco Panesi",
note = "Funding Information: The authors would like to thank AFOSR and in particular Dr. Ivett Leyva for supporting this research. Ms. R. Macdonald was supported by the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program. Dr. M. Panesi was supported by the Air Force Office of Scientific Research Young Investigators Program FA9550-15-1-0132. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the AFOSR or the US government. The authors would like to thank Dr. R. Jaffe at NASA Ames Research Center for the helpful discussions. Publisher Copyright: {\textcopyright} 2018 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.; AIAA Aerospace Sciences Meeting, 2018 ; Conference date: 08-01-2018 Through 12-01-2018",
year = "2018",
doi = "10.2514/6.2018-1230",
language = "English (US)",
isbn = "9781624105241",
series = "AIAA Aerospace Sciences Meeting, 2018",
publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",
booktitle = "AIAA Aerospace Sciences Meeting",
}