Christopher C. Pain

73 papers Journal 66Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum Neural Physics: Solving Partial Differential Equations on Quantum Simulators using Quantum Convolutional Neural Networks. CoRR Jucai Zhai, Muhammad Abdullah, Boyang Chen, Fazal Chaudry, Paul N. Smith, Claire E. Heaney, Yanghua Wang, Jiansheng Xiang, Christopher C. Pain
2026	J	`jnl`	Solving the discretised shallow water equations using non-uniform grids and machine-learning libraries. Environ. Model. Softw. Amin Nadimy, Boyang Chen, Zimo Chen, Claire E. Heaney, Christopher C. Pain
2026	J	`jnl`	Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach. CoRR Nathalie C. Pinheiro, Donghu Guo, Hannah Menke, Aniket Joshi, Claire E. Heaney, Ahmed H. Elsheikh, Christopher C. Pain
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
2025	J	`jnl`	Coarsening and parallelism with reduction multigrids for hyperbolic Boltzmann transport. Int. J. High Perform. Comput. Appl. Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2025	J	`jnl`	Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations. Neural Networks Linfeng Li, Jiansheng Xiang, Boyang Chen, Claire E. Heaney, Steven Dargaville, Christopher C. Pain
2025	J	`jnl`	Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow. CoRR Vinicius L. S. Silva, Pablo Salinas, Claire E. Heaney, Matthew David Jackson, Christopher C. Pain
2025	J	`jnl`	Solving advection equations with reduction multigrids on GPUs. CoRR Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2024	J	`jnl`	AIR multigrid with GMRES polynomials (AIRG) and additive preconditioners for Boltzmann transport. J. Comput. Phys. Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2024	J	`jnl`	Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. Neural Networks Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain
2024	J	`jnl`	Coarsening and parallelism with reduction multigrids for hyperbolic Boltzmann transport. CoRR Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2024	J	`jnl`	Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology. J. Comput. Sci. Vinicius L. S. Silva, Claire E. Heaney, Nenko Nenov, Christopher C. Pain
2024	J	`jnl`	Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions. CoRR Vinicius L. S. Silva, Geraldine Regnier, Pablo Salinas, Claire E. Heaney, Matthew David Jackson, Christopher C. Pain
2024	J	`jnl`	Real-time updating of dynamic social networks for COVID-19 vaccination strategies. J. Ambient Intell. Humaniz. Comput. Sibo Cheng, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2024	J	`jnl`	Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries. CoRR Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes, Omar K. Matar, Christopher C. Pain
2024	J	`jnl`	Using AI libraries for Incompressible Computational Fluid Dynamics. CoRR Boyang Chen, Claire E. Heaney, Christopher C. Pain
2023	J	`jnl`	Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. J. Sci. Comput. Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
2023	J	`jnl`	Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. J. Sci. Comput. Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
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
2023	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. J. Sci. Comput. Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2023	J	`jnl`	Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. CoRR T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain
2023	J	`jnl`	Solving the Discretised Neutron Diffusion Equations using Neural Networks. CoRR T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain
2022	J	`jnl`	An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. CoRR 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
2022	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. Neurocomputing César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2022	J	`jnl`	Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models. CoRR Sibo Cheng, Jianhua Chen, Charitos Anastasiou, Panagiota Angeli, Omar K. Matar, Yi-Ke Guo, Christopher C. Pain, Rossella Arcucci
2022	—	`conf`	Generative Networks Applied to Model Fluid Flows. ICCS (3) Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
2022	J	`jnl`	Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation. Neural Comput. Appl. Pin Wu, Kaikai Pan, Lulu Ji, Siquan Gong, Weibing Feng, Wenyan Yuan, Christopher C. Pain
2021	J	`jnl`	A comparison of element agglomeration algorithms for unstructured geometric multigrid. J. Comput. Appl. Math. Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2021	J	`jnl`	Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Laetitia Mottet, Yike Guo, Christopher C. Pain
2021	J	`jnl`	Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo
2021	J	`jnl`	Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19. CoRR Vinicius L. S. Silva, Claire E. Heaney, Yaqi Li, Christopher C. Pain
2021	—	`conf`	Data Assimilation in the Latent Space of a Convolutional Autoencoder. ICCS (5) Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
2021	J	`jnl`	Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. CoRR César Quilodrán Casas, Vinicius L. S. Silva, Rossella Arcucci, Claire E. Heaney, Yike Guo, Christopher C. Pain
2021	J	`jnl`	GAN for time series prediction, data assimilation and uncertainty quantification. CoRR Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
2021	—	`conf`	Merging Real Images with Physics Simulations via Data Assimilation. Euro-Par Workshops Rossella Arcucci, César Quilodrán Casas, Aniket Joshi, Asiri Obeysekara, Laetitia Mottet, Yi-Ke Guo, Christopher C. Pain
2021	J	`jnl`	Numerical study of COVID-19 spatial-temporal spreading in London. CoRR J. Zheng, X. Wu, F. Fang, J. Li, Z. Wang, H. Xiao, J. Zhu, Christopher C. Pain, Paul Linden, B. Xiang
2021	J	`jnl`	Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating. CoRR Sibo Cheng, Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo
2021	J	`jnl`	Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. Adv. Eng. Softw. Asiri Obeysekara, Pablo Salinas, Claire E. Heaney, Lyes Kahouadji, Lluís Via-Estrem, Jiansheng Xiang, Narakorn Srinil, André Nicolle, Omar K. Matar, Christopher C. Pain
2020	J	`jnl`	A comparison of element agglomeration algorithms for unstructured geometric multigrid. CoRR Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2020	J	`jnl`	An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion. CoRR Toby Phillips, Claire E. Heaney, Paul N. Smith, Christopher C. Pain
2020	J	`jnl`	Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. CoRR Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain
2020	J	`jnl`	Data Assimilation in the Latent Space of a Neural Network. CoRR Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, Paul Linden, Yi-Ke Guo
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
2020	J	`jnl`	Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. J. Comput. Phys. Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2020	J	`jnl`	Scalable angular adaptivity for Boltzmann transport. J. Comput. Phys. Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2020	J	`jnl`	Weak Constraint Gaussian Processes for optimal sensor placement. J. Comput. Sci. Tolga Hasan Dur, Rossella Arcucci, Laetitia Mottet, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo
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
2019	—	`conf`	Adaptive Domain Decomposition for Effective Data Assimilation. Euro-Par Workshops Rossella Arcucci, Laetitia Mottet, César A. Quilodrán Casas, Florian Guitton, Christopher C. Pain, Yi-Ke Guo
2019	J	`jnl`	Angular adaptivity with spherical harmonics for Boltzmann transport. J. Comput. Phys. Steven Dargaville, Andrew G. Buchan, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2019	J	`jnl`	Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects. CoRR Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain
2019	—	`conf`	Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci
2019	J	`jnl`	Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo
2018	J	`jnl`	A discontinuous control volume finite element method for multi-phase flow in heterogeneous porous media. J. Comput. Phys. Pablo Salinas, Dimitris Pavlidis, Ziqing Xie, H. Osman, Christopher C. Pain, Matthew David Jackson
2018	J	`jnl`	Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. Rossella Arcucci, 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`	Adaptive Haar wavelets for the angular discretisation of spectral wave models. J. Comput. Phys. Alexandros Adam, Andrew G. Buchan, Matthew D. Piggott, Christopher C. Pain, Jon Hill, Mark A. Goffin
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
2015	J	`jnl`	Goal-based angular adaptivity applied to a wavelet-based discretisation of the neutral particle transport equation. J. Comput. Phys. Mark A. Goffin, Andrew G. Buchan, Steven Dargaville, Christopher C. Pain, Paul N. Smith, Richard P. Smedley-Stevenson
2015	J	`jnl`	Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs. J. Comput. Phys. Ahmad S. Abushaikha, Martin J. Blunt, Olivier R. Gosselin, Christopher C. Pain, Matthew David Jackson
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`	Minimising the error in eigenvalue calculations involving the Boltzmann transport equation using goal-based adaptivity on unstructured meshes. J. Comput. Phys. Mark A. Goffin, Christopher M. J. Baker, Andrew G. Buchan, Christopher C. Pain, Matthew D. Eaton, Paul N. Smith
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
2009	J	`jnl`	LBB stability of a mixed Galerkin finite element pair for fluid flow simulations. J. Comput. Phys. Colin J. Cotter, David A. Ham, Christopher C. Pain, Sebastian Reich
2008	J	`jnl`	A systematic approach to unstructured mesh generation for ocean modelling using GMT and Terreno. Comput. Geosci. Gerard J. Gorman, M. D. Piggott, M. R. Wells, Christopher C. Pain, Peter A. Allison
2008	—	`conf`	Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks. ISNN (1) Shan Jiang, Christopher C. Pain, Jonathan N. Carter, Ahmet K. Ziver, Matthew D. Eaton, Anthony J. H. Goddard, Simon J. Franklin, Heather J. Phillips
2007	J	`jnl`	Shoreline approximation for unstructured mesh generation. Comput. Geosci. Gerard J. Gorman, M. D. Piggott, Christopher C. Pain
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
1999	J	`jnl`	K-way neural network graph partitioning with separator vertices. Biol. Cybern. Christopher C. Pain, C. R. E. de Oliveira, Anthony J. H. Goddard, A. P. Umpleby
1999	J	`jnl`	Simulated annealing task to processor mapping for domain decomposition methods on distributed parallel computers. Concurr. Pract. Exp. Christopher C. Pain, C. R. E. de Oliveira, Anthony J. H. Goddard