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
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
2042005
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
1302003
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
1202014
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
862018
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
862003
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
842015
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
672009
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
662015
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
622013
Reduced‐order modelling of an adaptive mesh ocean model
F Fang, CC Pain, IM Navon, MD Piggott, GJ Gorman, PA Allison, ...
International journal for numerical methods in fluids 59 (8), 827-851, 2009
602009
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
592013
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
572009
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
542016
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
522015
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
522013
Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons
F Fang, T Zhang, D Pavlidis, CC Pain, AG Buchan, IM Navon
Atmospheric Environment 96, 96-106, 2014
432014
A dual‐weighted trust‐region adaptive POD 4D‐VAR applied to a finite‐element shallow‐water equations model
X Chen, IM Navon, F Fang
International Journal for Numerical Methods in Fluids 65 (5), 520-541, 2011
432011
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
392017
Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter
AH Elsheikh, CC Pain, F Fang, JLMA Gomes, IM Navon
Stochastic environmental research and risk assessment 27 (4), 877-897, 2013
392013
Numerical modeling of tides in the late Pennsylvanian midcontinent seaway of North America with implications for hydrography and sedimentation
MR Wells, PA Allison, MD Piggott, GJ Gorman, GJ Hampson, CC Pain, ...
Journal of Sedimentary Research 77 (10), 843-865, 2007
382007
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Articles 1–20