Christopher C. Pain
Orcid: 0000-0003-4194-2590
According to our database1,
Christopher C. Pain
authored at least 57 papers
between 1999 and 2024.
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Bibliography
2024
J. Ambient Intell. Humaniz. Comput., March, 2024
Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries.
CoRR, 2024
2023
Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
J. Sci. Comput., May, 2023
J. Comput. Sci., May, 2023
Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
J. Sci. Comput., 2023
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models.
J. Sci. Comput., 2023
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport.
CoRR, 2023
CoRR, 2023
2022
Navier-stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation.
Neural Comput. Appl., 2022
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic.
Neurocomputing, 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes.
CoRR, 2022
Proceedings of the Computational Science - ICCS 2022, 2022
2021
A comparison of element agglomeration algorithms for unstructured geometric multigrid.
J. Comput. Appl. Math., 2021
CoRR, 2021
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19.
CoRR, 2021
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations.
CoRR, 2021
Optimal vaccination strategies for COVID-19 based on dynamical social networks with real-time updating.
CoRR, 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations.
CoRR, 2021
Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation.
Adv. Eng. Softw., 2021
Proceedings of the Computational Science - ICCS 2021, 2021
Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021
2020
J. Comput. Sci., 2020
Goal-based angular adaptivity for Boltzmann transport in the presence of ray-effects.
J. Comput. Phys., 2020
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves.
CoRR, 2020
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion.
CoRR, 2020
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network.
CoRR, 2020
2019
J. Comput. Phys., 2019
Proceedings of the 15th International Conference on Signal-Image Technology & Internet-Based Systems, 2019
Proceedings of the Parallel Computing: Technology Trends, 2019
Proceedings of the Euro-Par 2019: Parallel Processing Workshops, 2019
2018
A discontinuous control volume finite element method for multi-phase flow in heterogeneous porous media.
J. Comput. Phys., 2018
CoRR, 2018
Big Data Min. Anal., 2018
2017
A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting.
J. Comput. Phys., 2017
2016
Modelling of fluid-structure interaction with multiphase viscous flows using an immersed-body method.
J. Comput. Phys., 2016
Higher-order conservative interpolation between control-volume meshes: Application to advection and multiphase flow problems with dynamic mesh adaptivity.
J. Comput. Phys., 2016
J. Comput. Phys., 2016
2015
Goal-based angular adaptivity applied to a wavelet-based discretisation of the neutral particle transport equation.
J. Comput. Phys., 2015
A POD reduced order model for resolving angular direction in neutron/photon transport problems.
J. Comput. Phys., 2015
Interface control volume finite element method for modelling multi-phase fluid flow in highly heterogeneous and fractured reservoirs.
J. Comput. Phys., 2015
2014
Non-linear model reduction for the Navier-Stokes equations using residual DEIM method.
J. Comput. Phys., 2014
2013
Minimising the error in eigenvalue calculations involving the Boltzmann transport equation using goal-based adaptivity on unstructured meshes.
J. Comput. Phys., 2013
Non-linear Petrov-Galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods.
J. Comput. Phys., 2013
Comput. Math. Appl., 2013
2009
J. Comput. Phys., 2009
2008
A systematic approach to unstructured mesh generation for ocean modelling using GMT and Terreno.
Comput. Geosci., 2008
Proceedings of the Advances in Neural Networks, 2008
2007
2006
Comput. Math. Appl., 2006
1999
Simulated annealing task to processor mapping for domain decomposition methods on distributed parallel computers.
Concurr. Pract. Exp., 1999