F. Fang

发表

Natural ventilation in cities: the implications of fluid mechanics

Jiyun Song, F. Fang, R. L. Jones, 2018, Building Research & Information.

A dual‐weighted trust‐region adaptive POD 4D‐VAR applied to a finite‐element shallow‐water equations model

Ionel M. Navon, Xiao Chen, F. Fang, 2011 .

Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network

Ionel M. Navon, C. Pain, F. Fang, 2020, Computer Methods in Applied Mechanics and Engineering.

A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows

M. Piggott, Ionel M. Navon, C. Pain, 2009 .

Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair

Ionel M. Navon, C. Pain, F. Fang, 2013 .

Non-intrusive reduced order modelling of the Navier-Stokes equations

Ionel M. Navon, A. Muggeridge, C. Pain, 2015 .

Non‐intrusive reduced‐order modelling of the Navier–Stokes equations based on RBF interpolation

C. Pain, F. Fang, D. Xiao, 2015 .

Non-intrusive reduced order modeling of multi-phase flow in porous media using the POD-RBF method

Ionel M. Navon, P. Salinas, C. Pain, 2015 .

Non‐intrusive reduced order modelling with least squares fitting on a sparse grid

Ionel M. Navon, C. Pain, F. Fang, 2017 .

Machine learning-based rapid response tools for regional air pollution modelling

Ionel M. Navon, C. Pain, F. Fang, 2019, Atmospheric Environment.

A domain decomposition method for the non-intrusive reduced order modelling of fluid flow

Ionel M. Navon, C. Pain, F. Fang, 2019, Computer Methods in Applied Mechanics and Engineering.

Domain decomposition non-intrusive reduced order modelling of non-linear flow dynamics

Ionel M. Navon, C. Pain, F. Fang, 2017 .

Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter

Ionel M. Navon, C. Pain, F. Fang, 2013, Stochastic Environmental Research and Risk Assessment.

Reduced order borehole induction modelling

Ionel M. Navon, M. Player, C. Pain, 2014, International Journal of Computational Fluid Dynamics.

A POD Reduced order 4 D-VAR adaptive mesh ocean modelling approach

M. Piggott, Ionel M. Navon, C. Pain, 2007 .

An adaptive mesh adjoint data assimilation method

M. Piggott, C. Pain, F. Fang, 2006 .

The independent set perturbation method for efficient computation of sensitiv ‐ ities with applications to data assimilation and a finite element shallow water model

D. Cacuci, Ionel M. Navon, C. Pain, 2013 .

The independent set perturbation adjoint method: A new method of differentiating mesh‐based fluids models

M. Piggott, Ionel M. Navon, C. Pain, 2010, International Journal for Numerical Methods in Fluids.

The Independent Set Perturbation Adjoint Method Applied To a Finite Element Shallow Water Equation Model

M. Piggott, D. Cacuci, Ionel M. Navon, 2011 .

Non-intrusive model reduction for a 3 D unstructured mesh control volume finite element reservoir model and its application to fluvial channels

Ionel M. Navon, A. Muggeridge, P. Salinas, 2016 .

A POD goal‐oriented error measure for mesh optimization

M. Piggott, Ionel M. Navon, A. Goddard, 2009 .

Multiphase flow simulation through porous media with explicitly resolved fractures

J. Latham, J. Percival, J. Xiang, 2015 .

A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications

Ionel M. Navon, C. Pain, F. Fang, 2017 .

Non-intrusive reduced order modelling of multi-fluid flows in oil reservoirs with uncertain rock properties

Ionel M. Navon, P. Salinas, C. Pain, 2018 .

An efficient goal‐based reduced order model approach for targeted adaptive observations

Ionel M. Navon, C. Pain, F. Fang, 2017 .

Non-intrusive reduced order 3D free surface modelling

Ionel M. Navon, C. Pain, F. Fang, 2015 .

Three‐dimensional simulation and inversion of borehole temperatures for reconstructing past climate in complex settings

C. Pain, F. Fang, K. Gallagher, 2009 .

Oil Containment by Boom in Waves and Wind. I: Numerical Model

Fangxin Fang, A. J. Johnston, F. Fang, 2001 .

Numerical study of COVID-19 spatial–temporal spreading in London

H. Xiao, C. Pain, F. Fang, 2021, Physics of fluids.

A new anisotropic adaptive mesh photochemical model for ozone formation in power plant plumes

C. Pain, F. Fang, Jing Li, 2020, Atmospheric Environment.

A new multiscale air pollutant transport model using anisotropic adaptive mesh methods

J. Xiang, C. Pain, F. Fang, 2015 .

Medium range forecasts using cut-cells: a sensitivity study

Ionel M. Navon, Jianping Li, Zhixiang Xiao, 2019, Meteorology and Atmospheric Physics.

A Penalized 4-D Var data assimilation method for reducing forecast error

Ionel M. Navon, F. Fang, M. Hossen, 2010 .

A PENALIZED 4-D VAR DATA ASSIMILATION METHOD 2 . DERIVATION OF THE EQUATIONS AND PENALIZED FOUR-DIMENSIONAL VARIATIONAL ALGORITHM

Ionel M. Navon, F. Fang, M. Hossen, 2011 .

Model reduction for compressible fluid-solid coupling and its application to blasting

Ionel M. Navon, J. Xiang, C. Pain, 2015 .

Numerical study of COVID-19 spatial–temporal spreading in London

H. Xiao, C. Pain, F. Fang, 2021, Physics of fluids.

Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains

Christopher C. Pain, Fangxin Fang, Jiang Zhu, 2018, Atmosphere.

Advances in Water Resources Numerical simulation of ﬂoods from multiple sources using an adaptive anisotropic unstructured mesh method

P. Salinas, F. Fang, O. Mark, 2018 .

Adjoint goal-based error norms for adaptive mesh ocean modelling

C. C. Pain, Antony J. H. Goddard, Fangxin Fang, 2006 .

Active Air Monitoring for Understanding the Ventilation and Infection Risks of SARS-CoV-2 Transmission in Public Indoor Spaces

Christopher C. Pain, F. Fang, C. Pain, 2022, Atmosphere.

Numerical Modeling of Tides in the Late Pennsylvanian Midcontinent Seaway of North America with Implications for Hydrography and Sedimentation

Christopher C. Pain, Fangxin Fang, Matthew D. Piggott, 2007 .

Numerical simulation of floods from multiple sources using an adaptive anisotropic unstructured mesh method

Pablo Salinas, Christopher C. Pain, Fangxin Fang, 2019, Advances in Water Resources.

An ensemble method for sensor optimisation applied to falling liquid films

James R. Percival, Fangxin Fang, Michael Navon, 2014 .

Goal-based sensitivity maps using time windows and ensemble perturbations pdf

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2018, ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery.

Long lead-time daily and monthly streamflow forecasting using machine learning methods

Tsuyoshi Kinouchi, C. C. Pain, Fangxin Fang, 2020 .

Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity

James R. Percival, Christopher C. Pain, Matthew D. Jackson, 2016, J. Comput. Phys..

Feasibility of DEIM for retrieving the initial field via dimensionality reduction

Yuepeng Wang, Xuemei Ding, Guang Lin, 2020, J. Comput. Phys..

Reduced‐order modelling of an adaptive mesh ocean model

C. C. Pain, Antony J. H. Goddard, Fangxin Fang, 2009 .

A POD reduced‐order model for eigenvalue problems with application to reactor physics

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2013 .

A domain decomposition non-intrusive reduced order model for turbulent flows

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2019, Computers & Fluids.

Anatomy of three warm-core Leeuwin Current eddies

Fangxin Fang, Rosemary Morrow, R. Morrow, 2003 .

Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method

C. C. Pain, Fangxin Fang, Ionel Michael Navon, 2019, Journal of Hydrology.

Model identification of reduced order fluid dynamics systems using deep learning

C. Pain, F. Fang, D. Xiao, 2018 .

The immersed-body gas-solid interaction model for blast analysis in fractured solid media

Dimitrios Pavlidis, Christopher C. Pain, P. Yang, 2017 .

Independent set perturbation method for efficient computation of sensitivities with applications to data assimilation and a finite element shallow water equation model

D. Cacuci, Ionel M. Navon, C. Pain, 2011 .

Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels

Pablo Salinas, Christopher C. Pain, Fangxin Fang, 2018 .

Non-linear model reduction for the Navier-Stokes equations using residual DEIM method

Juan Du, Christopher C. Pain, Fangxin Fang, 2014, J. Comput. Phys..

Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation

Juan Du, Fangxin Fang, Jiang Zhu, 2013, Comput. Math. Appl..

Modelling of fluid-structure interaction with multiphase viscous flows using an immersed-body method

Christopher C. Pain, Fangxin Fang, Dimitris Pavlidis, 2016, J. Comput. Phys..

A fidelity fluid-structure interaction model for vertical axis tidal turbines in turbulence flows

Christopher C. Pain, Fangxin Fang, P. Yang, 2019, Applied Energy.

Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods

Juan Du, Christopher C. Pain, Fangxin Fang, 2013, J. Comput. Phys..

Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network pdf

C. C. Pain, F. Fang, I. M. Navon, 2020, Computer Methods in Applied Mechanics and Engineering.

Numerical Simulation of Attenuator Wave Energy Converter Using One-Fluid Formulation

J. Latham, J. Xiang, D. Pavlidis, 2018 .

A reduced order with data assimilation model: Theory and practice

Ionel M. Navon, C. Pain, R. Arcucci, 2023, Computers & Fluids.

A reduced order model for turbulent flows in the urban environment using machine learning

Yike Guo, Christopher C. Pain, Alan Robins, 2019, Building and Environment.

Towards non-intrusive reduced order 3D free surface flow modelling

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2017, Ocean Engineering.

Non‐intrusive reduced‐order modeling for multiphase porous media flows using Smolyak sparse grids

Christopher C. Pain, D. Xiao, D. Xiao, 2017 .

Non-intrusive reduced order modelling of fluid–structure interactions

Christopher C. Pain, Jiansheng Xiang, D. Xiao, 2016 .

POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow

David A. Ham, Juan Du, Christopher C. Pain, 2013, Comput. Math. Appl..

Modelling of fluid-structure interaction for moderate reynolds number flows using an immersed-body method

Dimitrios Pavlidis, Christopher C. Pain, Jiansheng Xiang, 2019, Computers & Fluids.

Three-dimensional unstructured mesh ocean modelling

C.R.E. de Oliveira, Antony J. H. Goddard, Christopher C. Pain, 2005 .

Evolution, movement and decay of warm-core Leeuwin Current eddies

Fangxin Fang, Rosemary Morrow, R. Morrow, 2003 .

Unstructured mesh adaptivity for urban flooding modelling

Pablo Salinas, Christopher C. Pain, Fangxin Fang, 2018 .

Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons

Christopher C. Pain, Dimitrios Pavlidis, Fangxin Fang, 2014 .

Parameterised non-intrusive reduced order methods for ensemble Kalman filter data assimilation

Juan Du, Christopher C. Pain, Fangxin Fang, 2018, Computers & Fluids.

Adaptive unstructured meshes for finite element ocean modelling

Antony J. H. Goddard, Christopher C. Pain, Fang Fang, 2003 .

A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting

Min Chen, Christopher C. Pain, Fangxin Fang, 2017, J. Comput. Phys..

Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods

Ionel M. Navon, C. Pain, F. Fang, 2013, J. Comput. Phys..

A Penalized 4-D Var data assimilation method for reducing forecast error related to adaptive observations

Ionel M. Navon, F. Fang, M. Hossen, 2011 .

A penalized four‐dimensional variational data assimilation method for reducing forecast error related to adaptive observations

Ionel M. Navon, F. Fang, M. Hossen, 2022 .

Reduced order borehole induction modelling

Ionel M. Navon, M. Player, C. Pain, 2014, International Journal of Computational Fluid Dynamics.

A non-intrusive reduced order model with Transformer neural network and its application

F. Fang, Pin Wu, Christopher Pain, 2022, Physics of Fluids.

A POD reduced order model for resolving angular direction in neutron/photon transport problems

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2015, J. Comput. Phys..

A POD reduced‐order 4D‐Var adaptive mesh ocean modelling approach

M. Piggott, Ionel M. Navon, C. Pain, 2008 .

Ensemble data assimilation applied to an adaptive mesh ocean model

C. C. Pain, Juan Du, Fangxin Fang, 2016 .

The independent set perturbation method for efficient computation of sensitivities with applications to data assimilation and a finite element shallow water model

D. Cacuci, Ionel M. Navon, C. Pain, 2011 .

Reduced‐order modelling of an adaptive mesh ocean model

M. Piggott, Ionel M. Navon, A. Goddard, 2007 .

Non-intrusive reduced order modelling of fluid–structure interactions

Ionel M. Navon, J. Xiang, C. Pain, 2016 .

Non-Linear Petrov-Galerkin Methods for Reduced Order Modelling of the Nav ‐ ier-Stokes Equations using a Mixed Finite Element

Ionel M. Navon, C. Pain, F. Fang, 2012 .

Spatio‐Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks

Ionel M. Navon, F. Fang, C. Pain, 2022, Journal of Advances in Modeling Earth Systems.

Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting

Ionel M. Navon, C. Pain, F. Fang, 2023, J. Comput. Sci..

The independent set perturbation method for efficient computation of sensitivities with applications to data assimilation and a finite element shallow water model

D. Cacuci, Ionel M. Navon, C. Pain, 2011 .

o3o3: A Variant of Spectral Elements with a Regular Collocation Grid

Fangxin Fang, Paul A. Ullrich, Jianping Li, 2019, Monthly Weather Review.

Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation

Christopher C. Pain, Fangxin Fang, Ionel Michael Navon, 2006, Comput. Math. Appl..

Towards a new multiscale air quality transport model using the fully unstructured anisotropic adaptive mesh technology of Fluidity (version 4.1.9)

Christopher C. Pain, F. Fang, J. Zheng, 2015 .

Simulation of dam/levee-break hydrodynamics with a three-dimensional implicit unstructured-mesh finite element model

Ping Feng, Fangxin Fang, Ting Zhang, 2017, Environmental Fluid Mechanics.

Demonstration of a three-dimensional dynamically adaptive atmospheric dynamic framework for the simulation of mountain waves

F. Fang, J. Zhu, J. Li, 2021, Meteorology and Atmospheric Physics.

A dual‐weighted trust‐region adaptive POD 4D‐VAR applied to a finite‐element shallow‐water equations model

Ionel M. Navon, Xiao Chen, F. Fang, 2011 .

A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods

Ionel M. Navon, F. Fang, D. Xiao, 2023, International Journal for Numerical Methods in Engineering.