Claire E. Heaney

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Diffusion Equation

Computational Fluid Dynamics

Top Venues

J. Sci. Comput.

J. Comput. Sci.

Publications

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 (2024)
Boyang Chen, Claire E. Heaney, Christopher C. Pain
Using AI libraries for Incompressible Computational Fluid Dynamics. CoRR (2024)
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 (2024)
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 (2024)
T. R. F. Phillips, Claire E. Heaney, C. Boyang, Andrew G. Buchan, Christopher C. Pain
Solving the Discretised Neutron Diffusion Equations using Neural Networks. CoRR (2023)
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) (2023)
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) (2023)
T. R. F. Phillips, Claire E. Heaney, C. Boyang, Andrew G. Buchan, Christopher C. Pain
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport. CoRR (2023)
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 (2022)
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 (2022)
Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
Generative Networks Applied to Model Fluid Flows. ICCS (3) (2022)
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 (2022)
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 (2021)
Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
GAN for time series prediction, data assimilation and uncertainty quantification. CoRR (2021)
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 (2021)
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 (2021)
Claire E. Heaney, Yuling Li, Omar Matar, Christopher C. Pain
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves. CoRR (2020)
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 (2020)
Claire E. Heaney, P. Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon
Goal-based sensitivity maps using time windows and ensemble perturbations. CoRR (2018)