Nguyen Anh Khoa Doan

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Delft University of Technology

Netherlands

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Recent Grants

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PINNTFlows

Open Date: 2019-01-01

Close Date: 2021-01-01

Grant: Close

Data-driven prediction of rare and extreme events in turbulent reacting flows

Open Date: 2018-01-01

Close Date: 2019-01-01

Grant: Close

Direct simulation of turbulent non-premixed MILD combustion

Open Date: 2014-01-01

Close Date: 2018-01-01

Articles (16)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2021

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2020

Collaborators (9)

Michael Pfitzner

Professor

Bundeswehr University Munich

GERMANY

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Ivan Langella

NETHERLANDS

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Yuki Minamoto

Assistant Professor

Tokyo Institute of Technology

JAPAN

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Arthur Péquin

Université libre de Bruxelles (ULB)

BELGIUM

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Nils Thuerey

Associate-Professor

Technical University of Munich

GERMANY

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Camilo Silva

Postdoctoral research associate and lecturer

Ludwig-Maximilians-Universität München

GERMANY

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Yannis Hardalupas

Professor of Multiphase Flows

Imperial College London

UNITED KINGDOM

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Nedunchezhian Swaminathan

UNITED KINGDOM

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fulvio scarano

Delft University of Technology

NETHERLANDS

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Nguyen Anh Khoa Doan

Research Interests

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Recent Grants

Articles (16)

Flashback Prevention in a Hydrogen-Fueled Reheat Combustor by Water Injection Optimized With Global Sensitivity Analysis

Physics-informed neural networks for dense reconstruction of vortex rings from particle tracking velocimetry

Control of Tollmien–Schlichting waves using particle swarm optimization

Data-driven identification of precursors of flashback in a lean hydrogen reheat combustor

SGS Reaction rate modelling for MILD combustion based on machine-learning combustion mode classification: Development and a priori study

A priori and a posteriori analysis of flamelet modeling for large-eddy simulations of a non-adiabatic backward-facing step

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Incomplete to complete multiphysics forecasting: a hybrid approach for learning unknown phenomena

Multiscale analysis of turbulence-flame interaction based on measurements in premixed flames

Velocity reconstruction in puffing pool fires with physics-informed neural networks

Identification of combustion mode under MILD conditions using Chemical Explosive Mode Analysis

Short- and long-term predictions of chaotic flows and extreme events: a physics-constrained reservoir computing approach

An a priori assessment of the Partially Stirred Reactor (PaSR) model for MILD combustion

Chaotic systems learning with hybrid echo state network/proper orthogonal decomposition based model

Modeling of the nonlinear flame response of a Bunsen-type flame via multi-layer perceptron

Physics-informed echo state networks

Collaborators (9)

Michael Pfitzner

Ivan Langella

Yuki Minamoto

Arthur Péquin

Nils Thuerey

Camilo Silva

Yannis Hardalupas

Nedunchezhian Swaminathan

fulvio scarano

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