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James Oreluk
James Oreluk
Joby Aviation
Verified email at jobyaviation.com - Homepage
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Cited by
Cited by
Year
Morphing and vectoring impacting droplets by means of wettability-engineered surfaces
TM Schutzius, G Graeber, M Elsharkawy, J Oreluk, CM Megaridis
Scientific reports 4 (1), 7029, 2014
762014
Development of an uncertainty quantification predictive chemical reaction model for syngas combustion
NA Slavinskaya, M Abbasi, JH Starcke, R Whitside, A Mirzayeva, U Riedel, ...
Energy & Fuels 31 (3), 2274-2297, 2017
402017
Consistency analysis for massively inconsistent datasets in bound-to-bound data collaboration
A Hegde, W Li, J Oreluk, A Packard, M Frenklach
SIAM/ASA Journal on Uncertainty Quantification 6 (2), 429-456, 2018
202018
Application of bound-to-bound data collaboration approach for development and uncertainty quantification of a reduced char combustion model
S Iavarone, J Oreluk, ST Smith, A Hegde, W Li, A Packard, M Frenklach, ...
Fuel 232, 769-779, 2018
182018
CloudFlame and PrIMe: accelerating combustion research in the cloud
Z Reyno-Chiasson, N Nettyam, GL Goteng, M Speight, BJ Lee, ...
9th International Conference on Chemical Kinetics, Ghent, Belgium, 2015
162015
Representing model discrepancy in bound-to-bound data collaboration
W Li, A Hegde, J Oreluk, A Packard, M Frenklach
SIAM/ASA Journal on Uncertainty Quantification 9 (1), 231-259, 2021
92021
Diagnostics of Data-Driven Models: Uncertainty Quantification of PM7 Semi-Empirical Quantum Chemical Method
J Oreluk, Z Liu, A Hegde, W Li, A Packard, M Frenklach, D Zubarev
Scientific Reports 8, 13248, 2018
92018
Does a reduced model reproduce the uncertainty of the original full-size model?
Z Liu, W Li, J Oreluk, A Hegde, A Packard, M Frenklach
Combustion and Flame 226, 98-107, 2021
62021
CloudFlame and PrIMe: accelerating combustion research in the cloud. 9th In-ternational Conference on Chemical Kinetics
Z Reyno-Chiasson, N Nettyam, G Goteng, M Speight, B Lee, S Baskaran, ...
Ghent, Belgium, 2015
52015
Genetic algorithm optimization of a master equation cyclopentane oxidation model against time-resolved speciation experiments
M Demireva, J Oreluk, AL Dewyer, J Zádor, L Sheps
Combustion and Flame 257, 112506, 2023
42023
Dynamic Chemical Model for H₂/O₂ Combustion Developed Through a Community Workflow
J Oreluk, CD Needham, S Baskaran, SM Sarathy, MP Burke, RH West, ...
arXiv preprint arXiv:1801.10093, 2018
32018
Investigation of Dataset construction parameters and their impact on reaction model optimization using PrIMe
A Mirzayeva, N Slavinskaya, U Riedel, M Frenklach, A Packard, W Li, ...
2018 AIAA Aerospace Sciences Meeting, 0143, 2018
32018
Scale-bridging model development for coal particle devolatilization
BB Schroeder, ST Smith, PJ Smith, TH Fletcher, A Packard, M Frenklach, ...
arXiv preprint arXiv:1609.00871, 2016
32016
Role of experimental data in validating and quantifying uncertainties in complex physical systems
JR Oreluk
University of California, Berkeley, 2019
22019
Consistent Syngas Chemical Mechanism from Collaborative Data Processing
N Slavinskaya, JH Starcke, M Abbasi, A Mirzayeva, U Riedel, M Frenklach, ...
55th AIAA Aerospace Sciences Meeting, 0837, 2017
12017
Genetic Algorithm Optimization of A Theory-Based Low-Temperature Cyclopentane Oxidation Model.
M Demireva, J Oreluk, AL Dewyer, J Zador, L Sheps
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022
2022
A Low Temperature Cyclopentane Oxidation Kinetics Model: Optimization of A Theory Based Sub Mechanism Against Experiment.
M Demireva, J Oreluk, AL Dewyer, J Zador, L Sheps
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022
2022
Bayesian Optimal Experimental Design for Photoionization Mass Spectrometry Experiments.
J Oreluk, L Sheps, H Najm
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Bayesian model calibration for vacuum-ultraviolet photoionisation mass spectrometry
J Oreluk, L Sheps, H Najm
Combustion Theory and Modelling 26 (3), 513-540, 2022
2022
Exploring Bayesian Optimal Experimental Designs for High-dimensional Combustion Systems.
J Oreluk, L Sheps, H Najm
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
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