Claire E. Heaney

28 papers Journal 27Unranked 1

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`	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`	Parameter estimation for land-surface models using machine learning libraries. CoRR Ruiyue Huang, Claire E. Heaney, Maarten van Reeuwijk
2025	J	`jnl`	Ten simple rules for navigating AI in science. PLoS Comput. Biol. Aidan Crilly, Alice Malivert, Andreas Christ Sølvsten Jørgensen, Claire E. Heaney, Gema I. Vera Gonzalez, Marcus Ghosh, Manolo Fernandez Perez, Mikael M. Mieskolainen, Mohammed Azzouzi, Zhenzhu Li
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`	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`	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`	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`	Data Learning: Integrating Data Assimilation and Machine Learning. J. Comput. Sci. 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
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	—	`conf`	Generative Networks Applied to Model Fluid Flows. ICCS (3) Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
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	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	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`	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
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