Claire E. Heaney

According to our database, Claire E. Heaney authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Using AI libraries for Incompressible Computational Fluid Dynamics.

Boyang Chen, Claire E. Heaney, Christopher C. Pain

CoRR, 2024

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries.

Boyang Chen, Claire E. Heaney, Jefferson L. M. A. Gomes, Omar K. Matar, Christopher C. Pain

CoRR, 2024

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., May, 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

Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport.

T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain

CoRR, 2023

Solving the Discretised Neutron Diffusion Equations using Neural Networks.

T. R. F. Phillips, Claire E. Heaney, Boyang Chen, Andrew G. Buchan, Christopher C. Pain

CoRR, 2023

2022

Data Learning: Integrating Data Assimilation and Machine Learning.

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

J. Comput. Sci., 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

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

Generative Networks Applied to Model Fluid Flows.

Mustapha Jolaade, Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain

Proceedings of the Computational Science - ICCS 2022, 2022

2021

GAN for time series prediction, data assimilation and uncertainty quantification.

Vinicius L. S. Silva, Claire E. Heaney, 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

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

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

2020

Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves.

Claire E. Heaney, Yuling Li, Omar Matar, Christopher C. Pain

CoRR, 2020

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

2018

Goal-based sensitivity maps using time windows and ensemble perturbations.

Claire E. Heaney, P. Salinas, Fangxin Fang, Christopher C. Pain, I. M. Navon

CoRR, 2018