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Fangxin Fang
Fangxin Fang
Senior Research Fellow, Earth Science and Engineering, Imperial College London
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
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
2252018
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
2232005
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
1822015
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
1792014
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
1772020
Evolution, movement and decay of warm-core Leeuwin Current eddies
F Fang, R Morrow
Deep Sea Research Part II: Topical Studies in Oceanography 50 (12-13), 2245-2261, 2003
1622003
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
1582015
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
1342019
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
1182017
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
1102019
Non-intrusive reduced order modelling of fluid–structure interactions
D Xiao, P Yang, F Fang, J Xiang, CC Pain, IM Navon
Computer Methods in Applied Mechanics and Engineering 303, 35-54, 2016
1032016
Anatomy of three warm-core Leeuwin Current eddies
R Morrow, F Fang, M Fieux, R Molcard
Deep Sea Research Part II: Topical Studies in Oceanography 50 (12-13), 2229-2243, 2003
1032003
A POD reduced order model for resolving angular direction in neutron/photon transport problems
AG Buchan, AA Calloo, MG Goffin, S Dargaville, F Fang, CC Pain, ...
Journal of Computational Physics 296, 138-157, 2015
1022015
A POD reduced‐order model for eigenvalue problems with application to reactor physics
AG Buchan, CC Pain, F Fang, IM Navon
International Journal for Numerical Methods in Engineering 95 (12), 1011-1032, 2013
892013
Non-linear Petrov–Galerkin methods for reduced order modelling of the Navier–Stokes equations using a mixed finite element pair
D Xiao, F Fang, J Du, CC Pain, IM Navon, AG Buchan, AH Elsheikh, G Hu
Computer Methods In Applied Mechanics and Engineering 255, 147-157, 2013
892013
POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow
J Du, F Fang, CC Pain, IM Navon, J Zhu, DA Ham
Computers & Mathematics with Applications 65 (3), 362-379, 2013
782013
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network
M Cheng, F Fang, CC Pain, IM Navon
Computer Methods in Applied Mechanics and Engineering 365, 113000, 2020
772020
Non-linear Petrov–Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods
F Fang, CC Pain, IM Navon, AH Elsheikh, J Du, D Xiao
Journal of Computational Physics 234, 540-559, 2013
752013
A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows
F Fang, CC Pain, IM Navon, GJ Gorman, MD Piggott, PA Allison, ...
Ocean modelling 28 (1-3), 127-136, 2009
752009
A POD reduced‐order 4D‐Var adaptive mesh ocean modelling approach
F Fang, CC Pain, IM Navon, MD Piggott, GJ Gorman, PE Farrell, ...
International Journal for Numerical Methods in Fluids 60 (7), 709-732, 2009
722009
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