Articles with public access mandates - Dunhui XiaoLearn more
Recused: 2
Stochastic reconstruction of 3D microstructures from 2D cross-sectional images using machine learning-based characterization
J Fu, D Xiao, D Li, HR Thomas, C Li
Computer methods in applied mechanics and engineering 390, 114532, 2022
Mandates: National Natural Science Foundation of China, UK Engineering and Physical …
Responsible authors: J Fu
Mechanistic pathway of NP-polymer interface to engender nanoscale confinement
G Wang, R Wang, C Wang, C Tang, Y Luo, D Xiao
Composites Communications 32, 101186, 2022
Mandates: National Natural Science Foundation of China
Responsible authors: C Wang
Available somewhere: 39
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
Mandates: National Natural Science Foundation of China, UK Engineering and Physical …
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
Mandates: National Natural Science Foundation of China, UK Engineering and Physical …
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
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
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
Mandates: UK Engineering and Physical Sciences Research Council, UK Natural …
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
Mandates: US National Science Foundation, National Natural Science Foundation of China …
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
Mandates: US National Science Foundation, National Natural Science Foundation of China …
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
Mandates: US National Science Foundation, National Natural Science Foundation of China …
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review
S Cheng, C Quilodrán-Casas, S Ouala, A Farchi, C Liu, P Tandeo, ...
IEEE/CAA Journal of Automatica Sinica 10 (6), 1361-1387, 2023
Mandates: National Natural Science Foundation of China, German Research Foundation, UK …
Landslide susceptibility mapping using the stacking ensemble machine learning method in Lushui, Southwest China
X Hu, H Zhang, H Mei, D Xiao, Y Li, M Li
Applied Sciences 10 (11), 4016, 2020
Mandates: National Natural Science Foundation of China
A domain decomposition non-intrusive reduced order model for turbulent flows
D Xiao, CE Heaney, F Fang, L Mottet, R Hu, DA Bistrian, E Aristodemou, ...
Computers & Fluids 182, 15-27, 2019
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
Non‐intrusive reduced‐order modeling for multiphase porous media flows using Smolyak sparse grids
D Xiao, Z Lin, F Fang, CC Pain, IM Navon, P Salinas, A Muggeridge
International Journal for Numerical Methods in Fluids 83 (2), 205-219, 2017
Mandates: US National Science Foundation, National Natural Science Foundation of China …
Egret swarm optimization algorithm: an evolutionary computation approach for model free optimization
Z Chen, A Francis, S Li, B Liao, D Xiao, TT Ha, J Li, L Ding, X Cao
Biomimetics 7 (4), 144, 2022
Mandates: National Natural Science Foundation of China, UK Engineering and Physical …
Machine learning-based rapid response tools for regional air pollution modelling
D Xiao, F Fang, J Zheng, CC Pain, IM Navon
Atmospheric environment 199, 463-473, 2019
Mandates: UK Engineering and Physical Sciences Research Council
A domain decomposition method for the non-intrusive reduced order modelling of fluid flow
D Xiao, F Fang, CE Heaney, IM Navon, CC Pain
Computer Methods in Applied Mechanics and Engineering 354, 307-330, 2019
Mandates: UK Engineering and Physical Sciences Research Council, UK Research & Innovation
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting
D Xiao, P Yang, F Fang, J Xiang, CC Pain, IM Navon, M Chen
Journal of Computational Physics 330, 221-244, 2017
Mandates: US National Science Foundation, National Natural Science Foundation of China …
Supporting an integrated transportation infrastructure and public space design: A coupled simulation method for evaluating traffic pollution and microclimate
L Yang, L Zhang, MEJ Stettler, M Sukitpaneenit, D Xiao, KH Van Dam
Sustainable Cities and Society 52, 101796, 2020
Mandates: Chinese Academy of Sciences
Natural ventilation in cities: the implications of fluid mechanics
J Song, S Fan, W Lin, L Mottet, H Woodward, M Davies Wykes, R Arcucci, ...
Building Research & Information 46 (8), 809-828, 2018
Mandates: UK Engineering and Physical Sciences Research Council
A non‐linear non‐intrusive reduced order model of fluid flow by auto‐encoder and self‐attention deep learning methods
R Fu, D Xiao, IM Navon, F Fang, L Yang, C Wang, S Cheng
International Journal for Numerical Methods in Engineering 124 (13), 3087-3111, 2023
Mandates: US National Science Foundation, National Natural Science Foundation of China …
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