Goal-based sensitivity maps using time windows and ensemble perturbations. - Claire E. Heaney; Pablo Salinas; Fangxin Fang; Christopher C. Pain; I. M. Navon (CoRR, 2018)

An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion. - Toby Phillips; Claire E. Heaney; Paul N. Smith; Christopher C. Pain (CoRR, 2020)

Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation. - Asiri Obeysekara; Pablo Salinas; Claire E. Heaney; Lyes Kahouadji; Lluís Via-Estrem; Jiansheng Xiang; Narakorn Srinil; André Nicolle; Omar K. Matar; Christopher C. Pain (Adv. Eng. Softw., 2021)

Digital twins based on bidirectional LSTM and GAN for modelling COVID-19. - César Quilodrán Casas; Vinicius L. S. Silva; Rossella Arcucci; Claire E. Heaney; Yike Guo; Christopher C. Pain (CoRR, 2021)

Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (CoRR, 2021)

GAN for time series prediction, data assimilation and uncertainty quantification. - Vinicius L. S. Silva; Claire E. Heaney; Christopher C. Pain (CoRR, 2021)

Generative Networks Applied to Model Fluid Flows. - Mustapha Jolaade; Vinicius L. S. Silva; Claire E. Heaney; Christopher C. Pain (ICCS (3), 2022)

An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes. - 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 (CoRR, 2022)

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic. - César Quilodrán Casas; Vinicius L. S. Silva; Rossella Arcucci; Claire E. Heaney; Yike Guo; Christopher C. Pain (Neurocomputing, 2022)

Data Learning: Integrating Data Assimilation and Machine Learning. - Caterina Buizza; César Quilodrán Casas; Philip Nadler; Julian Mack; Stefano Marrone 002; Zainab Titus; Clémence Le Cornec; Evelyn Heylen; Tolga Hasan Dur; Luis G. Baca Ruíz; Claire E. Heaney; Julio Amador Díaz López; et al. (J. Comput. Sci., 2022)

Solving the Discretised Neutron Diffusion Equations using Neural Networks. - T. R. F. Phillips; Claire E. Heaney; Boyang Chen 002; Andrew G. Buchan; Christopher C. Pain (CoRR, 2023)

Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. - T. R. F. Phillips; Claire E. Heaney; Boyang Chen 002; Andrew G. Buchan; Christopher C. Pain (CoRR, 2023)

Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (J. Sci. Comput., 2023)

Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Yaqi Li; Christopher C. Pain (J. Sci. Comput., 2023)

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries. - Boyang Chen 002; Claire E. Heaney; Jefferson L. M. A. Gomes; Omar K. Matar; Christopher C. Pain (CoRR, 2024)

Using AI libraries for Incompressible Computational Fluid Dynamics. - Boyang Chen 002; Claire E. Heaney; Christopher C. Pain (CoRR, 2024)

Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions. - Vinicius L. S. Silva; Geraldine Regnier; Pablo Salinas; Claire E. Heaney; Matthew David Jackson; Christopher C. Pain (CoRR, 2024)

Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology. - Vinicius L. S. Silva; Claire E. Heaney; Nenko Nenov; Christopher C. Pain (J. Comput. Sci., 2024)

Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves. - Claire E. Heaney; Yuling Li; Omar K. Matar; Christopher C. Pain (Neural Networks, 2024)

Implementing the discontinuous-Galerkin finite element method using graph neural networks with application to diffusion equations. - Linfeng Li; Jiansheng Xiang; Boyang Chen 002; Claire E. Heaney; Steven Dargaville; Christopher C. Pain (Neural Networks, 2025)

Online learning to accelerate nonlinear PDE solvers: applied to multiphase porous media flow. - Vinicius L. S. Silva; Pablo Salinas; Claire E. Heaney; Matthew David Jackson; Christopher C. Pain (CoRR, 2025)

Parameter estimation for land-surface models using machine learning libraries. - Ruiyue Huang; Claire E. Heaney; Maarten van Reeuwijk (CoRR, 2025)

An AI-driven framework for the prediction of personalised health response to air pollution. - Nazanin Zounemat Kermani; Sadjad Naderi; Claire H. Dilliway; Claire E. Heaney; Shrreya Behll; Boyang Chen 002; Hisham Abubakar-Waziri; Alexandra E. Porter; Marc Chadeau-Hyam; Fangxin Fang; Ian M. Adcock; Kian Fan Chung; et al. (CoRR, 2025)