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ORCIDChristopher C. Pain
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2020 – today
- 2024
[j36]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): 1981-1994 (2024)- [j35]Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain:
AIR multigrid with GMRES polynomials (AIRG) and additive preconditioners for Boltzmann transport. J. Comput. Phys. 518: 113342 (2024) - [j34]Vinicius L. S. Silva, Claire E. Heaney, Nenko Nenov, Christopher C. Pain:
Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology. J. Comput. Sci. 83: 102451 (2024) - [j33]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: 106198 (2024) - [i22]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 abs/2401.06755 (2024) - [i21]Boyang Chen, Claire E. Heaney, Christopher C. Pain:
Using AI libraries for Incompressible Computational Fluid Dynamics. CoRR abs/2402.17913 (2024) - [i20]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 abs/2405.14548 (2024) - [i19]Steven Dargaville, Richard P. Smedley-Stevenson, Paul N. Smith, Christopher C. Pain:
Coarsening and parallelism with reduction multigrids for hyperbolic Boltzmann transport. CoRR abs/2408.08262 (2024) - 2023
- [j32]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: 102024 (2023) - [j31]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): 11 (2023) - [j30]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): 25 (2023) - [j29]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): 47 (2023) - [i18]T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain:
Solving the Discretised Neutron Diffusion Equations using Neural Networks. CoRR abs/2301.09939 (2023) - [i17]T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain:
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. CoRR abs/2301.09991 (2023) - 2022
- [j28]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: 11-28 (2022) - [j27]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): 11539-11552 (2022) - [c7]Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain:
Generative Networks Applied to Model Fluid Flows. ICCS (3) 2022: 742-755 - [i16]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 abs/2202.06170 (2022) - [i15]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 abs/2204.03497 (2022) - 2021
- [j26]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: 103044 (2021) - [j25]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: 113379 (2021) - [c6]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: 255-266 - [c5]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: 373-386 - [i14]César Quilodrán Casas, Rossella Arcucci, Christopher C. Pain, Yike Guo:
Adversarially trained LSTMs on reduced order models of urban air pollution simulations. CoRR abs/2101.01568 (2021) - [i13]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 abs/2102.02664 (2021) - [i12]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 abs/2102.09902 (2021) - [i11]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 abs/2103.00485 (2021) - [i10]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 abs/2104.06297 (2021) - [i9]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 abs/2105.07729 (2021) - [i8]Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain:
GAN for time series prediction, data assimilation and uncertainty quantification. CoRR abs/2105.13859 (2021) - 2020
- [j24]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: 109124 (2020) - [j23]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: 109759 (2020) - [j22]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: 101110 (2020) - [i7]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 abs/2004.00707 (2020) - [i6]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 abs/2005.09104 (2020) - [i5]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 abs/2008.10532 (2020) - [i4]Claire E. Heaney, Yuling Li, Omar K. Matar, Christopher C. Pain:
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. CoRR abs/2011.14820 (2020) - [i3]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 abs/2012.12056 (2020)
2010 – 2019
- 2019
- [j21]Rossella Arcucci, Laetitia Mottet, Christopher C. Pain, Yi-Ke Guo:
Optimal reduced space for Variational Data Assimilation. J. Comput. Phys. 379: 51-69 (2019) - [j20]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) - [c4]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: 583-595 - [c3]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: 189-198 - [c2]Edward M. Lim, Miguel Molina-Solana, Christopher C. Pain, Yi-Ke Guo, Rossella Arcucci:
Hybrid Data Assimilation: An Ensemble-Variational Approach. SITIS 2019: 633-640 - [i2]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 abs/1911.01747 (2019) - 2018
- [j19]Rossella Arcucci, Christopher C. Pain, Yi-Ke Guo:
Effective variational data assimilation in air-pollution prediction. Big Data Min. Anal. 1(4): 297-307 (2018) - [j18]Pablo Salinas, Dimitris Pavlidis, Ziqing Xie, H. Osman, Christopher C. Pain, Matthew David Jackson:
A discontinuous control volume finite element method for multi-phase flow in heterogeneous porous media. J. Comput. Phys. 352: 602-614 (2018) - [i1]Claire E. Heaney, Pablo Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon:
Goal-based sensitivity maps using time windows and ensemble perturbations. CoRR abs/1804.04457 (2018) - 2017
- [j17]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: 221-244 (2017) - 2016
- [j16]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: 521-538 (2016) - [j15]Alexandros Adam, Dimitris Pavlidis, James R. Percival, Pablo Salinas, Ziqing Xie, Fangxin Fang, Christopher C. Pain, A. H. Muggeridge, Matthew David Jackson:
Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity. J. Comput. Phys. 321: 512-531 (2016) - [j14]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: 571-592 (2016) - 2015
- [j13]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: 1032-1062 (2015) - [j12]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: 138-157 (2015) - [j11]Ahmad S. Abushaikha, Martin J. Blunt, Olivier R. Gosselin, Christopher C. Pain, Matthew David Jackson:
Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs. J. Comput. Phys. 298: 41-61 (2015) - 2014
- [j10]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: 1-18 (2014) - 2013
- [j9]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): 362-379 (2013) - [j8]Fangxin Fang, Christopher C. Pain, I. M. Navon, Ahmed 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: 540-559 (2013) - [j7]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: 726-752 (2013)
2000 – 2009
- 2009
- [j6]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): 336-348 (2009) - 2008
- [j5]Gerard J. Gorman, M. D. Piggott, M. R. Wells, Christopher C. Pain, Peter A. Allison:
A systematic approach to unstructured mesh generation for ocean modelling using GMT and Terreno. Comput. Geosci. 34(12): 1721-1731 (2008) - [c1]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: 400-409 - 2007
- [j4]Gerard J. Gorman, M. D. Piggott, Christopher C. Pain:
Shoreline approximation for unstructured mesh generation. Comput. Geosci. 33(5): 666-677 (2007) - 2006
- [j3]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): 1213-1242 (2006)
1990 – 1999
- 1999
- [j2]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): 227-234 (1999) - [j1]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): 155-165 (1999)
Coauthor Index
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