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
2132005
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
1382003
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
1312014
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
1122018
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
1102015
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
932015
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
902003
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
682013
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
682009
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
672016
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
612013
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
612009
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
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
592015
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
582013
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
542017
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
502014
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
442011
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
432013
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
422019
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Articles 1–20