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Journal Articles
- 2025
[j8]Linfeng Li
, Jiansheng Xiang, Boyang Chen, Claire E. Heaney, Steven Dargaville, Christopher C. Pain:
Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations. Neural Networks 185: 107061 (2025)- 2024
- [j7]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) - [j6]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) - 2023
- [j5]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) - [j4]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) - 2022
- [j3]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) - [j2]Caterina Buizza, César Quilodrán Casas, Philip Nadler, Julian Mack, Stefano Marrone, Zainab Titus, Clémence Le Cornec, Evelyn Heylen, Tolga Hasan Dur, Luis G. Baca Ruíz, Claire E. Heaney, Julio Amador Díaz López, K. S. Sesh Kumar, Rossella Arcucci:
Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 58: 101525 (2022) - 2021
- [j1]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)
Conference and Workshop Papers
- 2022
- [c1]Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain:
Generative Networks Applied to Model Fluid Flows. ICCS (3) 2022: 742-755
Informal and Other Publications
- 2024
- [i12]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) - [i11]Boyang Chen, Claire E. Heaney, Christopher C. Pain:
Using AI libraries for Incompressible Computational Fluid Dynamics. CoRR abs/2402.17913 (2024) - [i10]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) - 2023
- [i9]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) - [i8]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
- [i7]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) - 2021
- [i6]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) - [i5]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) - [i4]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
- [i3]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) - [i2]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) - 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)
Coauthor Index
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