D. Xiao

发表

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 .

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 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 .

A Survey on Cyber Cecurity of Unmanned Aerial Vehicles

D. Xiao, HE Dao-Jing, Qiao Yin-Rong, 2017 .

Non-intrusive reduced order 3D free surface modelling

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

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

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

Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes

Ionel M. Navon, Chenfeng Li, R. Arcucci, 2023, Computer Methods in Applied Mechanics and Engineering.

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

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

Model identification of reduced order fluid dynamics systems using deep learning

C. Pain, F. Fang, D. Xiao, 2017, International Journal for Numerical Methods in Fluids.

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..

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..

A reduced order with data assimilation model: Theory and practice

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

Error estimation of the parametric non-intrusive reduced order model using machine learning

D. Xiao, D. Xiao, 2019, Computer Methods in Applied Mechanics and Engineering.

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 .

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

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

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..

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 .

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.