Nguyen Anh Khoa Doan, Ph.D.

Nguyen Anh Khoa Doan, Ph.D.

Technische Universiteit Delft

H-index: 17

Europe-Netherlands

About Nguyen Anh Khoa Doan, Ph.D.

Nguyen Anh Khoa Doan, Ph.D., With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Turbulence, Fluid Dynamics, Combustion, Turbulent Reacting Flows, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards Universal Parameterization: Using Variational Autoencoders to Parameterize Airfoils

Physical Quantities Reconstruction in Reacting Flows with Deep Learning

Numerical investigation of communicating turbulent boundary layers through porous media

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

Control of reacting flows with hybrid differentiable/deep learning flow solver

Predicting turbulent dynamics with the convolutional autoencoder echo state network

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

Clustering-Based Identification of Precursors of Extreme Events in Chaotic Systems

Nguyen Anh Khoa Doan, Ph.D. Information

University

Position

___

Citations(all)

714

Citations(since 2020)

687

Cited By

240

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

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Nguyen Anh Khoa Doan, Ph.D. Skills & Research Interests

Turbulence

Fluid Dynamics

Combustion

Turbulent Reacting Flows

Machine Learning

Top articles of Nguyen Anh Khoa Doan, Ph.D.

Title

Journal

Author(s)

Publication Date

Towards Universal Parameterization: Using Variational Autoencoders to Parameterize Airfoils

Kilian Swannet

Carmine Varriale

Anh Khoa Doan

2024

Physical Quantities Reconstruction in Reacting Flows with Deep Learning

INTER-NOISE and NOISE-CON Congress and Conference Proceedings

Nilam Tathawadekar

Camilo Silva

Philip Sitte

Nguyen Anh Khoa Doan

2023/2/1

Numerical investigation of communicating turbulent boundary layers through porous media

INTER-NOISE and NOISE-CON Congress and Conference Proceedings

Thomas P Hunter

Nguyen Anh Khoa Doan

Francesco Avallone

Daniele Ragni

2023/11/30

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

Data-Centric Engineering

Nilam N Tathawadekar

Nguyen Anh Khoa Doan

Camilo F Silva

Nils Thuerey

2023/1

Control of reacting flows with hybrid differentiable/deep learning flow solver

Bulletin of the American Physical Society

Nilam Tathawadekar

Camilo Silva

Nils Thuerey

Nguyen Anh Khoa Doan

2023/11/19

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Journal of Fluid Mechanics

Alberto Racca

Nguyen Anh Khoa Doan

Luca Magri

2023/11

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

Proceedings of the Combustion Institute

Kherlen Jigjid

Yuki Minamoto

Nguyen Anh Khoa Doan

Mamoru Tanahashi

2023/1/1

Clustering-Based Identification of Precursors of Extreme Events in Chaotic Systems

Urszula Golyska

Nguyen Anh Khoa Doan

2023/6/26

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Nguyen Anh Khoa Doan

Alberto Racca

Luca Magri

2023/6/26

Interpretability of the latent space of autoencoders

Bulletin of the American Physical Society

Luca Magri

Nguyen Anh Khoa Doan

2022/11/20

On interpretability and proper latent decomposition of autoencoders

arXiv preprint arXiv:2211.08345

Luca Magri

Anh Khoa Doan

2022/11/15

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

Physics of Fluids

Michael Philip Sitte

Nguyen Anh Khoa Doan

2022/8/1

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

Combustion and Flame

François Chantriaux

Théo Quenouille

Nguyen Anh Khoa Doan

Nedunchezhian Swaminathan

Yannis Hardalupas

...

2022/5/1

Learning spatiotemporal dynamics in a turbulent flow: A 3D Autoencoded Reservoir Computer approach

Bulletin of the American Physical Society

Nguyen Anh Khoa Doan

Alberto Racca

Luca Magri

2022/11/22

Direct numerical simulations of flameless combustion

Nguyen Anh Khoa Doan

2022/1/1

Modelling spatiotemporal turbulent dynamics with the convolutional autoencoder echo state network

arXiv preprint arXiv:2211.11379

Alberto Racca

Nguyen Anh Khoa Doan

Luca Magri

2022/11/21

A posteriori assessment of consumption speed correction for LES with tabulated methods

arXiv preprint arXiv:2112.01434

Ivan Langella

Nguyen Anh Khoa Doan

2021/12/2

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

Data-Centric Engineering

Mathias Lesjak

Nguyen Anh Khoa Doan

2021/1

Hybrid neural network pde solvers for reacting flows

arXiv preprint arXiv:2111.11185

Nilam Tathawadekar

Nguyen Anh Khoa Doan

Camilo F Silva

Nils Thuerey

2021/11/22

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

Proceedings of the Royal Society A

Nguyen Anh Khoa Doan

Wolfgang Polifke

Luca Magri

2021/9/29

See List of Professors in Nguyen Anh Khoa Doan, Ph.D. University(Technische Universiteit Delft)

Co-Authors

H-index: 96
Stephen B Pope

Stephen B Pope

Cornell University

H-index: 53
Xue-Song Bai

Xue-Song Bai

Lunds Universitet

H-index: 51
William L Roberts

William L Roberts

King Abdullah University of Science and Technology

H-index: 49
Prof. Nilanjan Chakraborty

Prof. Nilanjan Chakraborty

Newcastle University

H-index: 46
N Swaminathan

N Swaminathan

University of Cambridge

H-index: 34
Markus Klein

Markus Klein

Universität der Bundeswehr München

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