Christopher C. Pain

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 51

Top Topics

Gaussian Process

Data Assimilation

Top Venues

J. Comput. Phys.

J. Sci. Comput.

J. Comput. Sci.

Publications

Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes, Omar K. Matar, Christopher C. Pain
Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries. CoRR (2024)
Boyang Chen, Claire E. Heaney, Christopher C. Pain
Using AI libraries for Incompressible Computational Fluid Dynamics. CoRR (2024)
Vinicius L. S. Silva, Geraldine Regnier, Pablo Salinas, Claire E. Heaney, Matthew David Jackson, Christopher C. Pain
Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions. CoRR (2024)
Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain
Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. Neural Networks 175 (2024)
Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. 15 (3) (2024)
T. R. F. Phillips, Claire E. Heaney, C. Boyang, Andrew G. Buchan, Christopher C. Pain
Solving the Discretised Neutron Diffusion Equations using Neural Networks. CoRR (2023)
Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. J. Sci. Comput. 95 (2) (2023)
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. 94 (1) (2023)
Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. J. Sci. Comput. 94 (1) (2023)
T. R. F. Phillips, Claire E. Heaney, C. Boyang, Andrew G. Buchan, Christopher C. Pain
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. CoRR (2023)
Meiling Cheng, Fangxin Fang, Ionel Michael Navon, Christopher C. Pain
Ensemble Kalman filter for GAN-ConvLSTM based long lead-time forecasting. J. Comput. Sci. 69 (2023)
Claire E. Heaney, Zef Wolffs, Jón Atli Tómasson, Lyes Kahouadji, Pablo Salinas, André Nicolle, Omar K. Matar, Ionel Michael Navon, Narakorn Srinil, Christopher C. Pain
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. CoRR (2022)
César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing 470 (2022)
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR (2022)
Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
Generative Networks Applied to Model Fluid Flows. ICCS (3) (2022)
Pin Wu, Kaikai Pan, Lulu Ji, Siquan Gong, Weibing Feng, Wenyan Yuan, Christopher C. Pain
Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation. Neural Comput. Appl. 34 (14) (2022)
César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR (2021)
Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
A comparison of element agglomeration algorithms for unstructured geometric multigrid. J. Comput. Appl. Math. 390 (2021)
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) (2021)
J. Zheng, X. Wu, F. Fang, J. Li, Z. Wang, H. Xiao, J. Zhu, Christopher C. Pain, Paul Linden, B. Xiang
Numerical study of COVID-19 spatial-temporal spreading in London. CoRR (2021)
Asiri Obeysekara, Pablo Salinas, Claire E. Heaney, Lyes Kahouadji, Lluís Via-Estrem, Jiansheng Xiang, Narakorn Srinil, André Nicolle, Omar K. Matar, Christopher C. Pain
Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. Adv. Eng. Softw. 160 (2021)
César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR (2021)
Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops (2021)
Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR (2021)
Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
GAN for time series prediction, data assimilation and uncertainty quantification. CoRR (2021)
Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19. CoRR (2021)
César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR (2021)
Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
A comparison of element agglomeration algorithms for unstructured geometric multigrid. CoRR (2020)
M. Cheng, Fangxin Fang, Christopher C. Pain, I. M. Navon
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network. CoRR (2020)
Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
Scalable angular adaptivity for Boltzmann transport. J. Comput. Phys. 406 (2020)
Claire E. Heaney, Yuling Li, Omar Matar, Christopher C. Pain
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. CoRR (2020)
Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo
Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. 42 (2020)
Toby Phillips, Claire E. Heaney, Paul N. Smith, Christopher C. Pain
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion. CoRR (2020)
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
Data Assimilation in the Latent Space of a Neural Network. CoRR (2020)
Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. J. Comput. Phys. 421 (2020)
Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
Angular adaptivity with spherical harmonics for Boltzmann transport. J. Comput. Phys. 397 (2019)
Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo
Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops (2019)
Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. CoRR (2019)
Rossella Arcucci, César Quilodrán Casas, Dunhui Xiao, Laetitia Mottet, Fangxin Fang, Pin Wu, Christopher C. Pain, Yi-Ke Guo
A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA). PARCO (2019)
Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379 (2019)
Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS (2019)
Claire E. Heaney, P. Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon
Goal-based sensitivity maps using time windows and ensemble perturbations. CoRR (2018)
P. Salinas, Dimitris Pavlidis, Ziqing Xie, H. Osman, Christopher C. Pain, Matthew D. Jackson
A discontinuous control volume finite element method for multi-phase flow in heterogeneous porous media. J. Comput. Phys. 352 (2018)
Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1 (4) (2018)
Dunhui Xiao, Pan Yang, Fangxin Fang, Jiansheng Xiang, Christopher C. Pain, I. M. Navon, Min Chen
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting. J. Comput. Phys. 330 (2017)
Alexandros Adam, Dimitris Pavlidis, James R. Percival, P. Salinas, Ziqing Xie, Fangxin Fang, Christopher C. Pain, A. H. Muggeridge, Matthew D. Jackson
Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity. J. Comput. Phys. 321 (2016)
Alexandros Adam, Andrew G. Buchan, Matthew D. Piggott, Christopher C. Pain, Jon Hill, Mark A. Goffin
Adaptive Haar wavelets for the angular discretisation of spectral wave models. J. Comput. Phys. 305 (2016)
Pan Yang, Jiansheng Xiang, Fangxin Fang, Dimitris Pavlidis, John-Paul Latham, Christopher C. Pain
Modelling of fluid-structure interaction with multiphase viscous flows using an immersed-body method. J. Comput. Phys. 321 (2016)
Ahmad S. Abushaikha, Martin J. Blunt, Olivier R. Gosselin, Christopher C. Pain, Matthew D. Jackson
Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs. J. Comput. Phys. 298 (2015)
Andrew G. Buchan, A. A. Calloo, Mark G. Goffin, Steven Dargaville, Fangxin Fang, Christopher C. Pain, Ionel Michael Navon
A POD reduced order model for resolving angular direction in neutron/photon transport problems. J. Comput. Phys. 296 (2015)
Mark A. Goffin, Andrew G. Buchan, Steven Dargaville, Christopher C. Pain, Paul N. Smith, Richard P. Smedley-Stevenson
Goal-based angular adaptivity applied to a wavelet-based discretisation of the neutral particle transport equation. J. Comput. Phys. 281 (2015)
Dunhui Xiao, Fangxin Fang, Andrew G. Buchan, Christopher C. Pain, Ionel Michael Navon, Juan Du, G. Hu
Non-linear model reduction for the Navier-Stokes equations using residual DEIM method. J. Comput. Phys. 263 (2014)
Juan Du, Fangxin Fang, Christopher C. Pain, I. M. Navon, Jiang Zhu, David A. Ham
POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow. Comput. Math. Appl. 65 (3) (2013)
Mark A. Goffin, Christopher M. J. Baker, Andrew G. Buchan, Christopher C. Pain, Matthew D. Eaton, Paul N. Smith
Minimising the error in eigenvalue calculations involving the Boltzmann transport equation using goal-based adaptivity on unstructured meshes. J. Comput. Phys. 242 (2013)
Fangxin Fang, Christopher C. Pain, I. M. Navon, A. H. Elsheikh, Juan Du, Dunhui Xiao
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods. J. Comput. Phys. 234 (2013)
Colin J. Cotter, David A. Ham, Christopher C. Pain, Sebastian Reich
LBB stability of a mixed Galerkin finite element pair for fluid flow simulations. J. Comput. Phys. 228 (2) (2009)
Shan Jiang, Christopher C. Pain, Jonathan N. Carter, Ahmet K. Ziver, Matthew D. Eaton, Anthony J. H. Goddard, Simon J. Franklin, Heather J. Phillips
Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks. ISNN (1) (2008)
Gerard J. Gorman, M. D. Piggott, M. R. Wells, Christopher C. Pain, P. A. Allison
A systematic approach to unstructured mesh generation for ocean modelling using GMT and Terreno. Comput. Geosci. 34 (12) (2008)
Gerard J. Gorman, M. D. Piggott, Christopher C. Pain
Shoreline approximation for unstructured mesh generation. Comput. Geosci. 33 (5) (2007)
P. W. Power, Christopher C. Pain, M. D. Piggott, Fangxin Fang, Gerard J. Gorman, A. P. Umpleby, Anthony J. H. Goddard, I. M. Navon
Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation. Comput. Math. Appl. 52 (8-9) (2006)
Christopher C. Pain, C. R. E. de Oliveira, Anthony J. H. Goddard
Simulated annealing task to processor mapping for domain decomposition methods on distributed parallel computers. Concurr. Pract. Exp. 11 (3) (1999)
Christopher C. Pain, C. R. E. de Oliveira, Anthony J. H. Goddard, A. P. Umpleby
K-way neural network graph partitioning with separator vertices. Biol. Cybern. 80 (4) (1999)