Claire E. Heaney

Orcid: 0000-0002-6555-1423

According to our database1, Claire E. Heaney authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Applying Convolutional Neural Networks to data on unstructured meshes with space-filling curves.
Neural Networks, 2024

Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology.
J. Comput. Sci., 2024

Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions.
CoRR, 2024

Using AI libraries for Incompressible Computational Fluid Dynamics.
CoRR, 2024

Solving the Discretised Multiphase Flow Equations with Interface Capturing on Structured Grids Using Machine Learning Libraries.
CoRR, 2024

2023
Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
J. Sci. Comput., May, 2023

Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
J. Sci. Comput., 2023

Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport.
CoRR, 2023

Solving the Discretised Neutron Diffusion Equations using Neural Networks.
CoRR, 2023

2022
Data Learning: Integrating Data Assimilation and Machine Learning.
J. Comput. Sci., 2022

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic.
Neurocomputing, 2022

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

Generative Networks Applied to Model Fluid Flows.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
GAN for time series prediction, data assimilation and uncertainty quantification.
CoRR, 2021

Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19.
CoRR, 2021

Digital twins based on bidirectional LSTM and GAN for modelling COVID-19.
CoRR, 2021

Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation.
Adv. Eng. Softw., 2021

2020
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion.
CoRR, 2020

2018
Goal-based sensitivity maps using time windows and ensemble perturbations.
CoRR, 2018


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