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 | 80 | 2014 |
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 | 42 | 2017 |
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 | 21 | 2018 |
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 | 19 | 2018 |
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 | 16 | 2015 |
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 | 10 | 2021 |
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 | 9 | 2018 |
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 | 6 | 2023 |
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 | 6 | 2021 |
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 | 5 | 2015 |
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 | 3 | 2018 |
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 | 3 | 2018 |
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 | 3 | 2016 |
Role of experimental data in validating and quantifying uncertainties in complex physical systems JR Oreluk University of California, Berkeley, 2019 | 2 | 2019 |
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 | 1 | 2017 |
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 |