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Enhancing high-fidelity nonlinear solver with reduced order model

Scientific reports, 2022-11, Vol.12 (1), p.20229-15, Article 20229

2022

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

Neural networks, 2024-07, Vol.175, p.106198-106198, Article 106198

2024

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An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion

International journal for numerical methods in engineering, 2021-08, Vol.122 (15), p.3780-3811

2021

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Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic

Neurocomputing (Amsterdam), 2022-01, Vol.470, p.11-28

2022

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Psychosocial, Demographic, and Illness‐Related Factors Associated With Acute Traumatic Stress Responses in Parents of Children With a Serious Illness or Injury

Journal of traumatic stress, 2017-06, Vol.30 (3), p.237-244

2017

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Solving the discretised neutron diffusion equations using neural networks

International journal for numerical methods in engineering, 2023-11, Vol.124 (21), p.4659-4686

2023

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Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology

Journal of scientific computing, 2023-05, Vol.95 (2), p.47, Article 47

2023

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Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology

Journal of scientific computing, 2023-01, Vol.94 (1), p.25, Article 25

2023

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On stability, convergence and accuracy of bES-FEM and bFS-FEM for nearly incompressible elasticity

Computer methods in applied mechanics and engineering, 2015-03, Vol.285, p.315-345

2015

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Machine learning and physics-driven modelling and simulation of multiphase systems

International journal of multiphase flow, 2024-09, Vol.179, p.104936, Article 104936

2024

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Multi-Output Regression with Generative Adversarial Networks (MOR-GANs)

Applied sciences, 2022-09, Vol.12 (18), p.9209

2022

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Reduced-Order Modelling Applied to the Multigroup Neutron Diffusion Equation Using a Nonlinear Interpolation Method for Control-Rod Movement

Energies (Basel), 2021-03, Vol.14 (5), p.1350

2021

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Reduced-Order Modelling with Domain Decomposition Applied to Multi-Group Neutron Transport

Energies (Basel), 2021-03, Vol.14 (5), p.1369

2021

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Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings

Frontiers in physics, 2022-07, Vol.10

2022

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Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries

Computer methods in applied mechanics and engineering, 2024-06, Vol.426, p.116974, Article 116974

2024

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A discrete element solution method embedded within a Neural Network

Powder technology, 2024-12, Vol.448, p.120258, Article 120258

2024

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Data assimilation with machine learning for dynamical systems: Modelling indoor ventilation

Physica A, 2024-06, Vol.643, p.129783, Article 129783

2024

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An AI-based non-intrusive reduced-order model for extended domains applied to multiphase flow in pipes

Physics of fluids (1994), 2022-05, Vol.34 (5)

2022

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Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology

Journal of computational science, 2024-12, Vol.83, p.102451, Article 102451

2024

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Data Learning: Integrating Data Assimilation and Machine Learning

Journal of computational science, 2022-02, Vol.58, p.101525, Article 101525

2022

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Conditioning surface-based geological models to well data using artificial neural networks

Computational geosciences, 2022-08, Vol.26 (4), p.779-802

2022

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Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation

Advances in engineering software (1992), 2021-10, Vol.160, p.103044, Article 103044

2021

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On error control in the element-free Galerkin method

Engineering analysis with boundary elements, 2012-03, Vol.36 (3), p.351-360

2012

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Generative Networks Applied to Model Fluid Flows

Computational Science - ICCS 2022, 2022, Vol.13352, p.742-755

2022

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Modelling Elasto-Plasticity Using the Hybrid MLPG Method

Computer modeling in engineering & sciences, 2010, Vol.56 (2), p.153-178

2010

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Enhancing high-fidelity nonlinear solver with reduced order model

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

An autoencoder‐based reduced‐order model for eigenvalue problems with application to neutron diffusion

Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic

Psychosocial, Demographic, and Illness‐Related Factors Associated With Acute Traumatic Stress Responses in Parents of Children With a Serious Illness or Injury

Solving the discretised neutron diffusion equations using neural networks

Correction to: Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology

Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology

On stability, convergence and accuracy of bES-FEM and bFS-FEM for nearly incompressible elasticity

Machine learning and physics-driven modelling and simulation of multiphase systems

Multi-Output Regression with Generative Adversarial Networks (MOR-GANs)

Reduced-Order Modelling Applied to the Multigroup Neutron Diffusion Equation Using a Nonlinear Interpolation Method for Control-Rod Movement

Reduced-Order Modelling with Domain Decomposition Applied to Multi-Group Neutron Transport

Extending the Capabilities of Data-Driven Reduced-Order Models to Make Predictions for Unseen Scenarios: Applied to Flow Around Buildings

Solving the discretised multiphase flow equations with interface capturing on structured grids using machine learning libraries

A discrete element solution method embedded within a Neural Network

Data assimilation with machine learning for dynamical systems: Modelling indoor ventilation

An AI-based non-intrusive reduced-order model for extended domains applied to multiphase flow in pipes

Generative model-based framework for parameter estimation and uncertainty quantification applied to a compartmental model in epidemiology

Data Learning: Integrating Data Assimilation and Machine Learning

Conditioning surface-based geological models to well data using artificial neural networks

Prediction of multiphase flows with sharp interfaces using anisotropic mesh optimisation

On error control in the element-free Galerkin method

Generative Networks Applied to Model Fluid Flows

Modelling Elasto-Plasticity Using the Hybrid MLPG Method

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