| Dynamics of gas–solid fluidised beds with non-spherical particle geometry JE Hilton, LR Mason, PW Cleary Chemical Engineering Science 65 (5), 1584-1596, 2010 | 217 | 2010 |
| Data-centric Engineering: integrating simulation, machine learning and statistics. Challenges and opportunities I Pan, LR Mason, OK Matar Chemical Engineering Science 249, 117271, 2022 | 52 | 2022 |
| Extraction kinetics of Fe (III) by di-(2-ethylhexyl) phosphoric acid using a Y–Y shaped microfluidic device D Ciceri, LR Mason, DJE Harvie, JM Perera, GW Stevens Chemical Engineering Research and Design 92 (3), 571-580, 2014 | 50 | 2014 |
| Modelling of interfacial mass transfer in microfluidic solvent extraction: part I. Heterogenous transport LR Mason, D Ciceri, DJE Harvie, JM Perera, GW Stevens Microfluidics and nanofluidics 14, 197-212, 2013 | 38 | 2013 |
| Modelling of interfacial mass transfer in microfluidic solvent extraction: part II. Heterogeneous transport with chemical reaction D Ciceri, LR Mason, DJE Harvie, JM Perera, GW Stevens Microfluidics and nanofluidics 14 (1), 213-224, 2013 | 36 | 2013 |
| Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation R Maulik, T Botsas, N Ramachandra, LR Mason, I Pan Physica D: Nonlinear Phenomena 416, 132797, 2021 | 30 | 2021 |
| The specific reactive surface area of granular zero-valent iron in metal contaminant removal: column experiments and modelling TM Statham, LR Mason, KA Mumford, GW Stevens Water Research, 2015 | 21 | 2015 |
| Multi-scale volume of fluid modelling of droplet coalescence LR Mason, GW Stevens, DJE Harvie Ninth International Conference on CFD in the Minerals and Process Industries, 2012 | 19 | 2012 |
| Single-bubble dynamics in nanopores: Transition between homogeneous and heterogeneous nucleation S Paul, WL Hsu, M Magnini, LR Mason, YL Ho, OK Matar, H Daiguji Physical Review Research 2 (4), 043400, 2020 | 14 | 2020 |
| Numerical simulation, clustering, and prediction of multicomponent polymer precipitation P Inguva, LR Mason, I Pan, M Hengardi, OK Matar Data-Centric Engineering 1, e13, 2020 | 8 | 2020 |
| The effect of gas dynamics on hopper discharge rates JE Hilton, LR Mason, PW Cleary Proceedings of the 7th International Conference on CFD in the Minerals and …, 2009 | 6 | 2009 |
| Analysis and control of vapor bubble growth inside solid-state nanopores S Paul, WL Hsu, M Magnini, LR Mason, Y Ito, YL Ho, OK Matar, H Daiguji Journal of Thermal Science and Technology 16 (1), JTST0007-JTST0007, 2021 | 5 | 2021 |
| Data-driven surrogate modeling and benchmarking for process equipment GFN Gonçalves, A Batchvarov, Y Liu, Y Liu, LR Mason, I Pan, OK Matar Data-Centric Engineering 1, e7, 2020 | 5 | 2020 |
| Active learning methodologies for surrogate model development in CFD applications I Pan, G Goncalves, A Batchvarov, Y Liu, Y Liu, V Sathasivam, N Yiakoumi, ... APS Division of Fluid Dynamics Meeting Abstracts, S41. 008, 2019 | 3 | 2019 |
| Subgrid CFD film-drainage modelling: application to buoyancy-driven droplet-wall collisions in emulsions LR Mason, GW Stevens, DJE Harvie 19th Australasian Fluid Mechanics Conference, 1-5, 2014 | 3 | 2014 |
| Multiphase flow applications of nonintrusive reduced-order models with Gaussian process emulation T Botsas, I Pan, LR Mason, OK Matar Data-Centric Engineering 3, e20, 2022 | 2 | 2022 |
| Will it flood? Classifying entrainment outcomes via machine learning L Mason, I Pan, A Karnik, A Batchvarov, R Craster, O Matar Bulletin of the American Physical Society 63, 2018 | 2 | 2018 |
| Rule-based Bayesian regression T Botsas, LR Mason, I Pan Statistics and Computing 32 (3), 44, 2022 | 1 | 2022 |
| Rule-based Evolutionary Bayesian Learning T Botsas, LR Mason, OK Matar, I Pan arXiv preprint arXiv:2202.13778, 2022 | 1 | 2022 |
| Rule-based Bayesian regression T Botsas, LR Mason, I Pan arXiv preprint arXiv:2008.00422, 2020 | 1 | 2020 |
Dalton J.E. HarvieAssociate Professor, Dept. of Chemical Engineering, University of MelbourneVerified email at unimelb.edu.au
