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Modeling transient fluid simulations with proper orthogonal decomposition and machine learning

International journal for numerical methods in fluids, 2021-02, Vol.93 (2), p.396-410

2021

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CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method

Computer methods in applied mechanics and engineering, 2022-05, Vol.395, p.114909, Article 114909

2022

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Simulations of directed energy deposition additive manufacturing process by smoothed particle hydrodynamics methods

International journal of advanced manufacturing technology, 2022-06, Vol.120 (7-8), p.4755-4774

2022

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A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design

Neural networks, 2024-12, Vol.180, p.106654, Article 106654

2024

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Tsunami forecasting using proper orthogonal decomposition method

Journal of Geophysical Research - Oceans, 2008-06, Vol.113 (C6), p.C06019-n/a

2008

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Projection-based and neural-net reduced order model for nonlinear Navier–Stokes equations

Applied Mathematical Modelling, 2021-01, Vol.89, p.1294-1315

2021

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Computational fluid dynamics simulation of rough bed open channels using openFOAM

Frontiers in environmental science, 2022-10, Vol.10

2022

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Simulations of Laser Assisted Additive Manufacturing by Smoothed Particle Hydrodynamics

Computer methods in applied mechanics and engineering, 2021-01, Vol.373, p.113491, Article 113491

2021

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Optimization of honeycomb shape for mitigation of flow deficit behind a separation wall

Applied ocean research, 2019-10, Vol.91, p.101869, Article 101869

2019

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Tsunami propagation scenarios in the South China Sea

Journal of Asian earth sciences, 2009-09, Vol.36 (1), p.67-73

2009

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Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach

Renewable energy, 2023-04, Vol.206, p.531-551

2023

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Reassessment of the cell surface area limitation to nutrient uptake in phytoplankton

Marine ecology. Progress series (Halstenbek), 2013-08, Vol.489, p.87-92

Dao, My Ha

2013

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Data-driven modal parameterization for robust aerodynamic shape optimization of wind turbine blades

Renewable energy, 2024-04, Vol.224, p.120115, Article 120115

2024

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A GPU-accelerated domain decomposition method for numerical analysis of nonlinear waves-current-structure interactions

Ocean engineering, 2022-09, Vol.259, p.111901, Article 111901

2022

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Modelling of aero-mechanical response of wind turbine blade with damages by computational fluid dynamics, finite element analysis and Bayesian network

Renewable energy, 2024-06, Vol.227, p.120580, Article 120580

2024

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SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks

Applied soft computing, 2022-11, Vol.130, p.109646, Article 109646

2022

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Fusing sensor data with CFD results using gappy POD

Ocean engineering, 2022-02, Vol.246, p.110549, Article 110549

2022

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Prediction of near-field uni-directional and multi-directional random waves from far-field measurements with artificial neural networks

Ocean engineering, 2023-06, Vol.278, p.114307, Article 114307

2023

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Modelling physical wave tank with flap paddle and porous beach in OpenFOAM

Ocean engineering, 2018-04, Vol.154, p.204-215

2018

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Wind tunnel and CFD studies of wind loadings on topsides of offshore structures

Ocean engineering, 2023-10, Vol.285, p.115310, Article 115310

2023

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A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process

Journal of materials processing technology, 2022-06, Vol.304, p.117541, Article 117541

2022

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Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design

2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022, p.1469-1475

2022

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LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry

2023 International Joint Conference on Neural Networks (IJCNN), 2023, p.1-10

2023

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Physics Compliance as a Metric for Neural Network Uncertainty

2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022, p.01-07

2022

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Tsunami propagation modelling – a sensitivity study

Natural hazards and earth system sciences, 2007-01, Vol.7 (6), p.741-754

2007

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Modeling transient fluid simulations with proper orthogonal decomposition and machine learning

CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method

Simulations of directed energy deposition additive manufacturing process by smoothed particle hydrodynamics methods

A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design

Tsunami forecasting using proper orthogonal decomposition method

Projection-based and neural-net reduced order model for nonlinear Navier–Stokes equations

Computational fluid dynamics simulation of rough bed open channels using openFOAM

Simulations of Laser Assisted Additive Manufacturing by Smoothed Particle Hydrodynamics

Optimization of honeycomb shape for mitigation of flow deficit behind a separation wall

Tsunami propagation scenarios in the South China Sea

Digital twining of an offshore wind turbine on a monopile using reduced-order modelling approach

Reassessment of the cell surface area limitation to nutrient uptake in phytoplankton

Data-driven modal parameterization for robust aerodynamic shape optimization of wind turbine blades

A GPU-accelerated domain decomposition method for numerical analysis of nonlinear waves-current-structure interactions

Modelling of aero-mechanical response of wind turbine blade with damages by computational fluid dynamics, finite element analysis and Bayesian network

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks

Fusing sensor data with CFD results using gappy POD

Prediction of near-field uni-directional and multi-directional random waves from far-field measurements with artificial neural networks

Modelling physical wave tank with flap paddle and porous beach in OpenFOAM

Wind tunnel and CFD studies of wind loadings on topsides of offshore structures

A part-scale, feature-based surrogate model for residual stresses in the laser powder bed fusion process

Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design

LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry

Physics Compliance as a Metric for Neural Network Uncertainty

Tsunami propagation modelling – a sensitivity study

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