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Combustion Theory and Modelling Volume 22, 2018 - Issue 4
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Original Articles

Probabilistic inference of reaction rate parameters from summary statistics

Mohammad KhalilCombustion Research Facility, Sandia National Laboratories, Livermore, USACorrespondence[email protected]
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Habib N. NajmCombustion Research Facility, Sandia National Laboratories, Livermore, USAView further author information
Pages 635-665 | Received 06 Mar 2017, Accepted 03 Aug 2017, Published online: 30 May 2018

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Yachao Chang, Pengzhi Wang, Shuai Huang, Xu Han & Ming Jia. (2023) Comprehensive influence of uncertainty propagation of chemical kinetic parameters on laminar flame speed prediction: a case study of dimethyl ether. Combustion Theory and Modelling 27:3, pages 441-458.
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Articles from other publishers (11)

Carly E. LaGrotta, Qinghui Meng, Lei Lei, Mark C. Barbet, Zekai Hong & Michael P. Burke. (2023) Resolving Discrepancies between State-of-the-Art Theory and Experiment for HO 2 + HO 2 via Multiscale Informatics . The Journal of Physical Chemistry A 127:3, pages 799-816.
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Joffrey Coheur, Thierry E. Magin, Philippe Chatelain & Maarten Arnst. (2023) BAYESIAN IDENTIFICATION OF PYROLYSIS MODEL PARAMETERS FOR THERMAL PROTECTION MATERIALS USING AN ADAPTIVE GRADIENT-INFORMED SAMPLING ALGORITHM WITH APPLICATION TO A MARS ATMOSPHERIC ENTRY. International Journal for Uncertainty Quantification 13:2, pages 53-80.
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Xueliang Yang, Xiaobo Shen, Peng Zhao & Chung K. Law. (2021) Statistical Analysis on Rate Parameters of the H 2 –O 2 Reaction System . The Journal of Physical Chemistry A 125:47, pages 10223-10234.
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Jan Mateu Armengol, Olivier Le Maître & Ronan Vicquelin. (2021) Bayesian calibration of a methane-air global scheme and uncertainty propagation to flame-vortex interactions. Combustion and Flame 234, pages 111642.
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Olga A. Doronina, Scott M. Murman & Peter E. Hamlington. (2021) Parameter Estimation for Reynolds-Averaged Navier–Stokes Models Using Approximate Bayesian Computation. AIAA Journal 59:11, pages 4703-4718.
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Jason D. Christopher, Olga A. Doronina, Dan Petrykowski, Torrey R. S. Hayden, Caelan Lapointe, Nicholas T. Wimer, Ian Grooms, Gregory B. Rieker & Peter E. Hamlington. (2021) Flow parameter estimation using laser absorption spectroscopy and approximate Bayesian computation. Experiments in Fluids 62:2.
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Carly E. LaGrotta, Mark C. Barbet, Lei Lei & Michael P. Burke. (2021) Towards a high-accuracy kinetic database informed by theoretical and experimental data: CH3 + HO2 as a case study. Proceedings of the Combustion Institute 38:1, pages 1043-1051.
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Jiaxing Wang, Zijun Zhou, Keli Lin, Chung K. Law & Bin Yang. (2020) Facilitating Bayesian analysis of combustion kinetic models with artificial neural network. Combustion and Flame 213, pages 87-97.
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Esteban Cisneros-Garibay, Carlos Pantano & Jonathan B. Freund. (2019) Accounting for uncertainty in RCCE species selection. Combustion and Flame 208, pages 219-234.
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F. Rizzi, M. Khalil, R.E. Jones, J.A. Templeton, J.T. Ostien & B.L. Boyce. (2019) Bayesian modeling of inconsistent plastic response due to material variability. Computer Methods in Applied Mechanics and Engineering 353, pages 183-200.
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Jason D. Christopher, Nicholas T. Wimer, Caelan Lapointe, Torrey R. S. Hayden, Ian Grooms, Gregory B. Rieker & Peter E. Hamlington. (2018) Parameter estimation for complex thermal-fluid flows using approximate Bayesian computation. Physical Review Fluids 3:10.
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