Luca Magri

Luca Magri

Imperial College London

H-index: 23

Europe-United Kingdom

About Luca Magri

Luca Magri, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Scientific Machine Learning, Data assimilation, Optimization, Chaos, Multi-physics fluids.

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

Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations

A real-time digital twin of azimuthal thermoacoustic instabilities

Solving nonlinear differential equations on Quantum Computers: A Fokker-Planck approach

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data

Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations

Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach

Inferring unknown unknowns: regularized bias-aware ensemble Kalman filter

Data-driven computation of adjoint sensitivities without adjoint solvers: An application to thermoacoustics

Luca Magri Information

University

Position

___

Citations(all)

1475

Citations(since 2020)

1232

Cited By

726

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

44

i10Index(since 2020)

38

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Luca Magri Skills & Research Interests

Scientific Machine Learning

Data assimilation

Optimization

Chaos

Multi-physics fluids

Top articles of Luca Magri

Title

Journal

Author(s)

Publication Date

Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations

Wind Energy Science Discussions

Nikolaos Bempedelis

Filippo Gori

Andrew Wynn

Sylvain Laizet

Luca Magri

2023/9/5

A real-time digital twin of azimuthal thermoacoustic instabilities

arXiv preprint arXiv:2404.18793

Andrea Nóvoa

Nicolas Noiray

James R Dawson

Luca Magri

2024/4/29

Solving nonlinear differential equations on Quantum Computers: A Fokker-Planck approach

arXiv preprint arXiv:2401.13500

Felix Tennie

Luca Magri

2024/1/24

Decoder Decomposition for the Analysis of the Latent Space of Nonlinear Autoencoders With Wind-Tunnel Experimental Data

arXiv preprint arXiv:2404.19660

Yaxin Mo

Tullio Traverso

Luca Magri

2024/4/25

Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations

arXiv preprint arXiv:2401.10306

Daniel Kelshaw

Luca Magri

2024/1/18

Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach

arXiv preprint arXiv:2404.12315

Defne E Ozan

Luca Magri

2024/4/18

Inferring unknown unknowns: regularized bias-aware ensemble Kalman filter

Computer Methods in Applied Mechanics and Engineering

Andrea Nóvoa

Alberto Racca

Luca Magri

2024/1/1

Data-driven computation of adjoint sensitivities without adjoint solvers: An application to thermoacoustics

arXiv preprint arXiv:2404.11738

Defne E Ozan

Luca Magri

2024/4/17

Computing distances and means on manifolds with a metric-constrained Eikonal approach

arXiv preprint arXiv:2404.08754

Daniel Kelshaw

Luca Magri

2024/4/12

Physics-informed long short-term memory for forecasting and reconstruction of chaos

Elise Özalp

Georgios Margazoglou

Luca Magri

2023/6/26

Data-driven modeling for drop size distributions

Physical Review Fluids

Tullio Traverso

Thomas Abadie

Omar K Matar

Luca Magri

2023/10/27

Bias-aware thermoacoustic data assimilation

INTER-NOISE and NOISE-CON Congress and Conference Proceedings

Andrea Novoa

Alberto Racca

Luca Magri

2023/2/1

Real-time digital twins of thermoacoustic instabilities in hydrogen-fuelled annular combustors

Bulletin of the American Physical Society

Andrea Nóvoa

Nicolas Noiray

James Dawson

Luca Magri

2023/11/20

A machine learning approach to the prediction of heat-transfer coefficients in micro-channels

arXiv preprint arXiv:2305.18406

Tullio Traverso

Francesco Coletti

Luca Magri

Tassos G Karayiannis

Omar K Matar

2023/5/28

Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model

Nikolaos Bempedelis

Luca Magri

2023/6/26

Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds

arXiv preprint arXiv:2310.06157

Daniel Kelshaw

Luca Magri

2023/10/9

Physics-aware learning of nonlinear limit cycles and adjoint limit cycles

INTER-NOISE and NOISE-CON Congress and Conference Proceedings

Defne Ege Ozan

Luca Magri

2023/2/1

Data-driven dimensional analysis and modelling of two-phase heat-transfer in small-to-micro tubes

Bulletin of the American Physical Society

Tullio Traverso

Francesco Coletti

Luca Magri

Tassos Karayiannis

Omar Matar

2023/11/20

Short and Straight: Geodesics on Differentiable Manifolds

arXiv preprint arXiv:2305.15228

Daniel Kelshaw

Luca Magri

2023/5/24

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Nguyen Anh Khoa Doan

Alberto Racca

Luca Magri

2023/6/26

See List of Professors in Luca Magri University(Imperial College London)

Co-Authors

H-index: 53
Wolfgang Polifke

Wolfgang Polifke

Technische Universität München

H-index: 50
Peter Schmid

Peter Schmid

Imperial College London

H-index: 49
Matthias Ihme

Matthias Ihme

Stanford University

H-index: 41
Prof. Matthew P. Juniper

Prof. Matthew P. Juniper

University of Cambridge

H-index: 36
Jonas Moeck

Jonas Moeck

Technische Universität Berlin

H-index: 30
Qiqi Wang

Qiqi Wang

Massachusetts Institute of Technology

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