Non-linear regimes of fluid flow in rock fractures RW Zimmerman, A Al-Yaarubi, CC Pain, CA Grattoni International Journal of Rock Mechanics and Mining Sciences 41, 163-169, 2004 | 576 | 2004 |
Tetrahedral mesh optimisation and adaptivity for steady-state and transient finite element calculations CC Pain, AP Umpleby, CRE De Oliveira, AJH Goddard Computer Methods in Applied Mechanics and Engineering 190 (29-30), 3771-3796, 2001 | 383 | 2001 |
Eastern Mediterranean tectonics and tsunami hazard inferred from the AD 365 earthquake B Shaw, NN Ambraseys, PC England, MA Floyd, GJ Gorman, ... Nature Geoscience 1 (4), 268-276, 2008 | 301 | 2008 |
Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed M Sakai, M Abe, Y Shigeto, S Mizutani, H Takahashi, A Viré, JR Percival, ... Chemical Engineering Journal 244, 33-43, 2014 | 267 | 2014 |
Model identification of reduced order fluid dynamics systems using deep learning Z Wang, D Xiao, F Fang, R Govindan, CC Pain, Y Guo International Journal for Numerical Methods in Fluids 86 (4), 255-268, 2018 | 253 | 2018 |
Three-dimensional unstructured mesh ocean modelling CC Pain, MD Piggott, AJH Goddard, F Fang, GJ Gorman, DP Marshall, ... Ocean Modelling 10 (1-2), 5-33, 2005 | 230 | 2005 |
Conservative interpolation between unstructured meshes via supermesh construction PE Farrell, MD Piggott, CC Pain, GJ Gorman, CR Wilson Computer methods in applied mechanics and engineering 198 (33-36), 2632-2642, 2009 | 227 | 2009 |
Long lead-time daily and monthly streamflow forecasting using machine learning methods M Cheng, F Fang, T Kinouchi, IM Navon, CC Pain Journal of Hydrology 590, 125376, 2020 | 211 | 2020 |
A new computational framework for multi‐scale ocean modelling based on adapting unstructured meshes MD Piggott, GJ Gorman, CC Pain, PA Allison, AS Candy, BT Martin, ... International Journal for Numerical Methods in Fluids 56 (8), 1003-1015, 2008 | 211 | 2008 |
Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation D Xiao, F Fang, C Pain, G Hu International Journal for Numerical Methods in Fluids 79 (11), 580-595, 2015 | 196 | 2015 |
Non-linear model reduction for the Navier–Stokes equations using residual DEIM method D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, J Du, G Hu Journal of Computational Physics 263, 1-18, 2014 | 186 | 2014 |
A study of bubbling and slugging fluidised beds using the two-fluid granular temperature model CC Pain, S Mansoorzadeh, CRE De Oliveira International Journal of Multiphase Flow 27 (3), 527-551, 2001 | 184 | 2001 |
Non-intrusive reduced order modelling of the Navier–Stokes equations D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, A Muggeridge Computer Methods in Applied Mechanics and Engineering 293, 522-541, 2015 | 168 | 2015 |
Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method R Hu, F Fang, CC Pain, IM Navon Journal of Hydrology 575, 911-920, 2019 | 162 | 2019 |
Study on a large-scale discrete element model for fine particles in a fluidized bed M Sakai, H Takahashi, CC Pain, JP Latham, J Xiang Advanced Powder Technology 23 (5), 673-681, 2012 | 161 | 2012 |
A simple model for deviations from the cubic law for a fracture undergoing dilation or closure S Sisavath, A Al-Yaarubi, CC Pain, RW Zimmerman Thermo-Hydro-Mechanical Coupling in Fractured Rock, 1009-1022, 2003 | 154 | 2003 |
How tall buildings affect turbulent air flows and dispersion of pollution within a neighbourhood E Aristodemou, LM Boganegra, L Mottet, D Pavlidis, A Constantinou, ... Environmental pollution 233, 782-796, 2018 | 140 | 2018 |
A nonhydrostatic finite-element model for three-dimensional stratified oceanic flows. Part I: Model formulation R Ford, CC Pain, MD Piggott, AJH Goddard, CRE De Oliveira, ... Monthly Weather Review 132 (12), 2816-2831, 2004 | 137 | 2004 |
A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications D Xiao, F Fang, CC Pain, IM Navon Computer Methods in Applied Mechanics and Engineering 317, 868-889, 2017 | 133 | 2017 |
A reduced order model for turbulent flows in the urban environment using machine learning D Xiao, CE Heaney, L Mottet, F Fang, W Lin, IM Navon, Y Guo, OK Matar, ... Building and Environment 148, 323-337, 2019 | 126 | 2019 |