Lachlan Mason
Lachlan Mason
The Alan Turing Institute
Verified email at turing.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1602010
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
422014
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 (1-2), 213-224, 2013
332013
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 (1-2), 197-212, 2013
312013
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
182015
Multi-scale volume of fluid modelling of droplet coalescence
LR Mason, GW Stevens, DJE Harvie
The 9th International Conference on CFD in the Minerals and Process …, 2012
182012
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
52009
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
32021
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
32014
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
22018
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
12020
Numerical simulation, clustering, and prediction of multicomponent polymer precipitation
P Inguva, LR Mason, I Pan, M Hengardi, OK Matar
Data-Centric Engineering 1, 2020
12020
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
12019
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
2021
Data-driven analysis and prediction of multi-component polymer precipitation
P Inguva, L Mason, I Pan, M Hengardi, O Matar
Bulletin of the American Physical Society, 2020
2020
A Study of Homogeneous and Heterogeneous Bubble Nucleation Inside Nanopores through Resistive Pulse Sensing
S Paul, WL Hsu, M Magnini, L Mason, YL Ho, O Matar, H Daiguji
Bulletin of the American Physical Society, 2020
2020
Rule-based Bayesian regression
T Botsas, LR Mason, I Pan
arXiv preprint arXiv:2008.00422, 2020
2020
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, 2020
2020
Surrogate-model Optimisation Strategies for non-Newtonian Gelling
A Kutnar, L Mason, I Pan, R Craster, O Matar
APS Division of Fluid Dynamics Meeting Abstracts, S41. 001, 2019
2019
Use of Multi-sensory Immersive Technologies in Fluid Dynamics Education
L Picinali, L Kahouadji, L Mason, M Sutton, N Bhatia, A Patapas, O Matar
APS Division of Fluid Dynamics Meeting Abstracts, H29. 003, 2019
2019
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Articles 1–20