Richard Dwight

Richard Dwight

Technische Universiteit Delft

H-index: 28

Europe-Netherlands

About Richard Dwight

Richard Dwight, With an exceptional h-index of 28 and a recent h-index of 18 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of CFD, data-driven modelling, turbulence modelling, uncertainty quantification, adjoint solvers.

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

Probabilistic surrogate modeling of damage equivalent loads on onshore and offshore wind turbines using mixture density networks

Towards a new surrogate model for predicting short-term NOx-O3 effects from aviation using Gaussian processes

Data-driven augmentation of a RANS turbulence model for transonic flow prediction

Probabilistic surrogate modeling of offshore wind-turbine loads with chained Gaussian processes

Data-driven RANS closures for wind turbine wakes under neutral conditions

Probabilistic surrogates for floating wind-turbine load emulation

A PDE-free, neural network-based eddy viscosity model coupled with RANS equations

Classifying regions of high model error within a data-driven RANS closure: Application to wind turbine wakes

Richard Dwight Information

University

Position

Professor

Citations(all)

2988

Citations(since 2020)

1601

Cited By

1971

hIndex(all)

28

hIndex(since 2020)

18

i10Index(all)

54

i10Index(since 2020)

40

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Richard Dwight Skills & Research Interests

CFD

data-driven modelling

turbulence modelling

uncertainty quantification

adjoint solvers

Top articles of Richard Dwight

Title

Journal

Author(s)

Publication Date

Probabilistic surrogate modeling of damage equivalent loads on onshore and offshore wind turbines using mixture density networks

Wind Energy Science Discussions

Deepali Singh

Richard Dwight

Axelle Viré

2024/3/6

Towards a new surrogate model for predicting short-term NOx-O3 effects from aviation using Gaussian processes

EGU General Assembly Conference Abstracts

Pratik Rao

Richard Dwight

Deepali Singh

Jin Maruhashi

Irene Dedoussi

...

2023/5

Data-driven augmentation of a RANS turbulence model for transonic flow prediction

International Journal of Numerical Methods for Heat & Fluid Flow

Cornelia Grabe

Florian Jäckel

Parv Khurana

Richard P Dwight

2023/4/24

Probabilistic surrogate modeling of offshore wind-turbine loads with chained Gaussian processes

Journal of Physics: Conference Series

Deepali Singh

Richard P Dwight

Kasper Laugesen

Laurent Beaudet

Axelle Viré

2022/5/1

Data-driven RANS closures for wind turbine wakes under neutral conditions

Computers & Fluids

Julia Steiner

Richard P Dwight

Axelle Viré

2022/1/30

Probabilistic surrogates for floating wind-turbine load emulation

D Singh

RP Dwight

AC Viré

2022

A PDE-free, neural network-based eddy viscosity model coupled with RANS equations

International Journal of Heat and Fluid Flow

Ruiying Xu

Xu-Hui Zhou

Jiequn Han

Richard P Dwight

Heng Xiao

2022/12/1

Classifying regions of high model error within a data-driven RANS closure: Application to wind turbine wakes

Flow, Turbulence and Combustion

Julia Steiner

Axelle Viré

Richard P Dwight

2022/9

Customized data-driven RANS closures for bi-fidelity LES–RANS optimization

Journal of Computational Physics

Yu Zhang

Richard P Dwight

Martin Schmelzer

Javier F Gómez

Zhong-hua Han

...

2021/5/1

Reconstruction of turbulent flows at high Reynolds numbers using data assimilation techniques

AIAA Journal

Zeno Belligoli

Richard P Dwight

Georg Eitelberg

2021/3

Nonlinear wind-tunnel wall-interference corrections using data assimilation

AIAA Journal

Zeno Belligoli

Richard P Dwight

Georg Eitelberg

2021/2

Data-driven RANS closures for three-dimensional flows around bluff bodies

Computers & Fluids

Jasper P Huijing

Richard P Dwight

Martin Schmelzer

2021/7/15

Data-driven approaches to physical modelling (in CFD)

Richard P Dwight

2021/7

Symbolic regression of algebraic stress-strain relation for RANS turbulence closure

Flow, Turbul. Combust.

Martin Schmelzer

Richard P Dwight

Paola Cinnella

2020/1/1

Data-driven modelling of the Reynolds stress tensor using random forests with invariance

Computers & Fluids

Mikael LA Kaandorp

Richard P Dwight

2020/4/30

Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo

Computers & Fluids

Prashant Kumar

Martin Schmelzer

Richard P Dwight

2020/4/15

Aeroelastic validation and Bayesian updating of a downwind wind turbine

Wind Energy

Rakesh Sarma

Richard P Dwight

Axelle Viré

2020/4

Discovery of algebraic Reynolds-stress models using sparse symbolic regression

Flow, Turbulence and Combustion

Martin Schmelzer

Richard P Dwight

Paola Cinnella

2020/3

Influence of turbulence anisotropy on RANS predictions of wind-turbine wakes

Journal of Physics: Conference Series

Yuyang Luan

Richard P Dwight

2020/9/1

A review of numerical and experimental studies of the anti-fairing

Zeno Belligoli

Richard Dwight

Georg Eitelberg

Sampath Srikumar

David Faleiros

...

2020

See List of Professors in Richard Dwight University(Technische Universiteit Delft)

Co-Authors

H-index: 47
Bas van Oudheusden

Bas van Oudheusden

Technische Universiteit Delft

H-index: 37
Daniele Ragni

Daniele Ragni

Technische Universiteit Delft

H-index: 34
Ken Badcock

Ken Badcock

University of Liverpool

H-index: 30
Zhong-Hua Han

Zhong-Hua Han

Northwestern Polytechnical University

H-index: 28
Hamed Haddad Khodaparast

Hamed Haddad Khodaparast

Swansea University

H-index: 27
Stephen G Roberts

Stephen G Roberts

Australian National University

academic-engine