Fangxin Fang

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
HyMeshAI: Deep learning enabled three-dimensional adaptive mesh generator for high-resolution atmospheric simulations.
J. Comput. Phys.
Pu Gan, Jinxi Li, Fangxin Fang, Xiaofei Wu, Jiang Zhu, Zifa Wang, Mingming Zhu, Xun Zou
2025 J jnl
An AI-driven framework for the prediction of personalised health response to air pollution.
CoRR
Nazanin Zounemat Kermani, Sadjad Naderi, Claire H. Dilliway, Claire E. Heaney, Shrreya Behll, Boyang Chen, Hisham Abubakar-Waziri, Alexandra E. Porter, Marc Chadeau-Hyam, Fangxin Fang, Ian M. Adcock, Kian Fan Chung, Christopher C. Pain
2024 J jnl
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet).
CoRR
Shengjuan Cai, Fangxin Fang, Vincent-Henri Peuch, Mihai Alexe, Ionel Michael Navon, Yanghua Wang
2023 J jnl
Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting.
J. Comput. Sci.
Meiling Cheng, Fangxin Fang, Ionel Michael Navon, Christopher C. Pain
2021 J jnl
Feasibility of DEIM for retrieving the initial field via dimensionality reduction.
J. Comput. Phys.
Yuepeng Wang, Xuemei Ding, Kun Hu, Fangxin Fang, I. M. Navon, Guang Lin
2020 J jnl
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
CoRR
M. Cheng, Fangxin Fang, Christopher C. Pain, I. M. Navon
2019 — conf
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA).
PARCO
Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo
2018 J jnl
Goal-based sensitivity maps using time windows and ensemble perturbations.
CoRR
Claire E. Heaney, Pablo Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon
2017 J jnl
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting.
J. Comput. Phys.
Dunhui Xiao, Pan Yang, Fangxin Fang, Jiansheng Xiang, Christopher C. Pain, I. M. Navon, Min Chen
2016 J jnl
Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity.
J. Comput. Phys.
Alexandros Adam, Dimitris Pavlidis, James R. Percival, Pablo Salinas, Ziqing Xie, Fangxin Fang, Christopher C. Pain, A. H. Muggeridge, Matthew David Jackson
2016 J jnl
Modelling of fluid-structure interaction with multiphase viscous flows using an immersed-body method.
J. Comput. Phys.
Pan Yang, Jiansheng Xiang, Fangxin Fang, Dimitris Pavlidis, John-Paul Latham, Christopher C. Pain
2015 J jnl
A POD reduced order model for resolving angular direction in neutron/photon transport problems.
J. Comput. Phys.
Andrew G. Buchan, Atyab Ahmad Calloo, Mark G. Goffin, Steven Dargaville, Fangxin Fang, Christopher C. Pain, Ionel Michael Navon
2014 J jnl
Non-linear model reduction for the Navier-Stokes equations using residual DEIM method.
J. Comput. Phys.
Dunhui Xiao, Fangxin Fang, Andrew G. Buchan, Christopher C. Pain, Ionel Michael Navon, Juan Du, G. Hu
2013 J jnl
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys.
Fangxin Fang, Christopher C. Pain, I. M. Navon, Ahmed H. Elsheikh, Juan Du, Dunhui Xiao
2013 J jnl
POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow.
Comput. Math. Appl.
Juan Du, Fangxin Fang, Christopher C. Pain, I. M. Navon, Jiang Zhu, David A. Ham
2013 J jnl
Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation.
Comput. Math. Appl.
Juan Du, I. M. Navon, Jiang Zhu, Fangxin Fang, Aleksey K. Alekseev
2006 J jnl
Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation.
Comput. Math. Appl.
P. W. Power, Christopher C. Pain, M. D. Piggott, Fangxin Fang, Gerard J. Gorman, A. P. Umpleby, Anthony J. H. Goddard, I. M. Navon