| Self-consistent two-dimensional modeling of cold atmospheric-pressure plasma jets/bullets D Breden, K Miki, LL Raja Plasma Sources Science and Technology 21 (3), 034011, 2012 | 253 | 2012 |
| Computational study of cold atmospheric nanosecond pulsed helium plasma jet in air D Breden, K Miki, LL Raja Applied Physics Letters 99 (11), 2011 | 155 | 2011 |
| Numerical modeling of ionian volcanic plumes with entrained particulates J Zhang, DB Goldstein, PL Varghese, L Trafton, C Moore, K Miki Icarus 172 (2), 479-502, 2004 | 73 | 2004 |
| Bayesian experimental design for the active nitridation of graphite by atomic nitrogen G Terejanu, RR Upadhyay, K Miki Experimental Thermal and Fluid Science 36, 178-193, 2012 | 70 | 2012 |
| Probabilistic models and uncertainty quantification for the ionization reaction rate of atomic nitrogen K Miki, M Panesi, EE Prudencio, S Prudhomme Journal of Computational Physics 231 (9), 3871-3886, 2012 | 44 | 2012 |
| Estimation of the nitrogen ionization reaction rate using electric arc shock tube data and Bayesian model analysis K Miki, M Panesi, EE Prudencio, S Prudhomme Physics of Plasmas 19 (2), 2012 | 40 | 2012 |
| Data partition methodology for validation of predictive models RE Morrison, CM Bryant, G Terejanu, S Prudhomme, K Miki Computers & Mathematics with Applications 66 (10), 2114-2125, 2013 | 35 | 2013 |
| Large-eddy simulation of equilibrium plasma-assisted combustion in supersonic flow K Miki, J Schulz, S Menon Proceedings of the Combustion Institute, Vol 32, 2413-2420, 2008 | 32 | 2008 |
| Three-dimensional reconstruction of a microjet with a Mach disk by Mach–Zehnder interferometers S Sugawara, S Nakao, Y Miyazato, Y Ishino, K Miki Journal of Fluid Mechanics 893, A25, 2020 | 26 | 2020 |
| Using Bayesian Analysis to Quantify Uncertainties in the H + O2 → OH + O Reaction K Miki, E Prudencio, SH Cheung, G Terejanu Combustion and Flame 160, 861-869, 2013 | 26 | 2013 |
| On the Assessment of a Bayesian Validation Methodology for Data Reduction Models Relevant to Shock Tube Experiments M Panesi, K Miki, S Prudhomme, A Brandis Computer Methods in Applied Mechanics and Engineering 213, 383-398, 2011 | 26 | 2011 |
| Computational study of combustor–turbine interactions K Miki, J Moder, MS Liou Journal of Propulsion and Power 34 (6), 1529-1541, 2018 | 25 | 2018 |
| Bayesian uncertainty quantification of recent shock tube determinations of the rate coefficient of reaction H + O2→ OH + O K Miki, SH Cheung, EE Prudencio, PL Varghese International Journal of Chemical Kinetics 44 (9), 586-597, 2012 | 25 | 2012 |
| Localized dynamic subgrid closure for simulation of magnetohydrodynamic turbulence K Miki, S Menon Physics of plasmas 15 (7), 2008 | 22 | 2008 |
| Uncertainty quantification of a graphite nitridation experiment using a Bayesian approach RR Upadhyay, K Miki, OA Ezekoye, J Marschall Experimental Thermal and Fluid Science 35 (8), 1588-1599, 2011 | 19 | 2011 |
| Rde nozzle computational design methodology development and application K Miki, DE Paxson, D Perkins, S Yungster AIAA Propulsion and Energy 2020 Forum, 3872, 2020 | 16 | 2020 |
| Uncertainty quantification and robust predictive system analysis for high temperature kinetics of HCN/O2/Ar mixture SH Cheung, K Miki, E Prudencio, C Simmons Chemical Physics 475, 136-152, 2016 | 15 | 2016 |
| Computational assessment of inlet backflow effects on rotating detonation engine performance and operability DE Paxson, K Miki AIAA SciTech 2022 Forum, 1263, 2022 | 14 | 2022 |
| Quantitative flow visualization of slightly underexpanded microjets by Mach–Zehnder interferometers S Sugawara, S Nakao, Y Miyazato, Y Ishino, K Miki Flow, Turbulence and Combustion 106 (3), 971-992, 2021 | 13 | 2021 |
| An efficient and accurate formalism for the treatment of large amplitude intramolecular motion G Reinisch, K Miki, GL Vignoles, BM Wong, CS Simmons Journal of chemical theory and computation 8 (8), 2713-2724, 2012 | 13 | 2012 |
Serge PrudhommeProfessor of Mathematics, Polytechnique MontréalVerified email at polymtl.ca
