Physics-constrained adaptive learning for multi-physics optimization

Indirect noise from weakly reacting inhomogeneities

Author(s): Animesh Jain; Andrea Giusti; Luca Magri
Published in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.396

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter

Author(s): Andrea Nóvoa; Alberto Racca; Luca Magri
Published in: Computer Methods in Applied Mechanics and Engineering, 2023, ISSN 1879-2138
Publisher: Elsevier
DOI: 10.1016/j.cma.2023.116502

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

Author(s): Defne E. Ozan, Luca Magri
Published in: Physical Review Fluids, Issue 9, 2024, ISSN 2469-990X
Publisher: American Physical Society
DOI: 10.1103/physrevfluids.9.103902

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Author(s): A. Racca, N. A. K. Doan, L. Magri
Published in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.716

Physics-Constrained Convolutional Neural Networks for Inverse Problems in Spatiotemporal Partial Differential Equations

Author(s): Daniel Kelshaw, Luca Magri
Published in: Data-Centric Engineering, 2024, ISSN 2632-6736
Publisher: Cambridge University Press
DOI: 10.2139/ssrn.4698814

Decoder decomposition for the analysis of the latent space of nonlinear autoencoders with wind-tunnel experimental data

Author(s): Yaxin Mo, Tullio Traverso, Luca Magri
Published in: Data-Centric Engineering, Issue 5, 2024, ISSN 2632-6736
Publisher: Cambridge University Press (CUP)
DOI: 10.1017/dce.2024.31

Reconstruction, forecasting, and stability of chaotic dynamics from partial data

Author(s): Elise Özalp; Georgios Margazoglou; Luca Magri
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, ISSN 1054-1500
Publisher: American Institute of Physics
DOI: 10.1063/5.0159479

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

Author(s): Nikolaos Bempedelis, Filippo Gori, Andrew Wynn, Sylvain Laizet, Luca Magri
Published in: Wind Energy Science, 2024, ISSN 2366-7443
Publisher: N/A
DOI: 10.5194/wes-2023-110

Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics

Author(s): L. Magri, P. Schmid, J. Moeck
Published in: Annual Review of Fluid Mechanics, 2023, ISSN 1545-4479
Publisher: Annual Reviews
DOI: 10.1146/annurev-fluid-031022-044209

A Hybrid Adjoint Network Model for Thermoacoustic Optimization

Author(s): F. Schäfer, W. Polifke, L. Magri
Published in: J. Eng. Gas Turbines Power., 2021, ISSN 0742-4795
Publisher: American Society of Mechanical Engineers
DOI: 10.1115/1.4051959

Gradient-free optimization of chaotic acoustics with reservoir computing

Author(s): Francisco Huhn; Luca Magri
Published in: Physical Review Fluids, 2022, ISSN 2469-990X
Publisher: American Physical Society
DOI: 10.1103/physrevfluids.7.014402

Sound Generation in Multicomponent Nozzle Flows With Dissipation

Author(s): A. Jain., L. Magri
Published in: J. Eng. Gas Turbines Power., 2022, ISSN 0742-4795
Publisher: American Society of Mechanical Engineers
DOI: 10.1115/1.4055761

Stability analysis of chaotic systems in latent spaces

Author(s): Elise Özalp, Luca Magri
Published in: Nonlinear Dynamics, Issue 113, 2025, Page(s) 13791-13806, ISSN 0924-090X
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11071-024-10712-w

Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network

Author(s): Yaxin Mo, Luca Magri
Published in: Physical Review Fluids, Issue 10, 2025, ISSN 2469-990X
Publisher: American Physical Society (APS)
DOI: 10.1103/physrevfluids.10.034901

Robust quantum reservoir computers for forecasting chaotic dynamics: generalized synchronization and stability

Author(s): Osama Ahmed, Felix Tennie, Luca Magri
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue 481, 2026, ISSN 1364-5021
Publisher: Royal Society of London
DOI: 10.1098/rspa.2025.0550

Extracting self-similarity from data

Author(s): Nikos Bempedelis, Luca Magri, Konstantinos Steiros
Published in: Journal of Fluid Mechanics, Issue 1020, 2025, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2025.10656

Integration of the Fokker–Planck equation on quantum computers: a new path to modelling nonlinear dynamics

Author(s): Felix Tennie, Luca Magri
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue 481, 2026, ISSN 1364-5021
Publisher: Royal Society of London
DOI: 10.1098/rspa.2025.0016

Optimal training of finitely sampled quantum reservoir computers for forecasting of chaotic dynamics

Author(s): Osama Ahmed, Felix Tennie, Luca Magri
Published in: Quantum Machine Intelligence, Issue 7, 2025, ISSN 2524-4906
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/s42484-025-00261-9

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

Author(s): Nguyen Anh Khoa Doan; Nguyen Anh Khoa Doan; Wolfgang Polifke; Luca Magri; Luca Magri; Luca Magri
Published in: Royal Society of London. Proceedings A. Mathematical, Physical and Engineering Sciences, 477(2253), 2021, ISSN 1471-2946
Publisher: The Royal Society
DOI: 10.1098/rspa.2021.0135

A real-time digital twin of azimuthal thermoacoustic instabilities

Author(s): Andrea Nóvoa, Nicolas Noiray, James R. Dawson, Luca Magri
Published in: Journal of Fluid Mechanics, Issue 1001, 2024, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2024.1052

Stability analysis of chaotic systems from data

Author(s): Margazoglou, Georgios; Magri, Luca
Published in: Nonlinear dynamics, 2023, ISSN 1573-269X
Publisher: Springer
DOI: 10.1007/s11071-023-08285-1

Hard-constrained neural networks for modelling nonlinear acoustics

Author(s): Ozan, Defne Ege; Magri, Luca
Published in: Physical Review Fluids, 2023, ISSN 2469-990X
Publisher: American Physical Society
DOI: 10.1103/physrevfluids.8.103201

Real-time thermoacoustic data assimilation

Author(s): A. Nóvoa; L. Magri
Published in: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2022.653

A physical model for indirect noise in non-isentropic nozzles: transfer functions and stability

Author(s): A. Jain, L. Magri
Published in: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2022.27

Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach

Author(s): Osama Ahmed, Felix Tennie, Luca Magri
Published in: Physical Review Research, Issue 6, 2024, ISSN 2643-1564
Publisher: American Physical Society (APS)
DOI: 10.1103/physrevresearch.6.043082

Quantum computing for nonlinear differential equations and turbulence

Author(s): Felix Tennie, Sylvain Laizet, Seth Lloyd, Luca Magri
Published in: Nature Reviews Physics, Issue 7, 2025, Page(s) 220-230, ISSN 2522-5820
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/s42254-024-00799-w

Compositional noise in nozzles with dissipation

Author(s): Animesh Jain; Luca Magri
Published in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2023.240

Data-driven modeling for drop size distributions

Author(s): T. Traverso; T. Abadie; O. K. Matar; L. Magri
Published in: Physical Review Fluids, 2023, ISSN 2469-990X
Publisher: American Physical Society
DOI: 10.1103/physrevfluids.8.104302

Data-driven prediction and control of extreme events in a chaotic flow

Author(s): Alberto Racca; Luca Magri
Published in: Physical Review Fluids, 2022, ISSN 2469-990X
Publisher: American Physical Society
DOI: 10.1103/physrevfluids.7.104402

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

Author(s): Daniel Kelshaw, Luca Magri
Published in: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Issue 481, 2026, ISSN 1471-2946
Publisher: The Royal Society
DOI: 10.1098/rspa.2024.0270

Data-driven stability analysis of a chaotic time-delayed system

Author(s): Margazoglou, Georgios; Magri, Luca
Published in: Lecture Notes in Computer Science, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-36027-5_31

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems

Author(s): Kelshaw, Daniel; Rigas, Georgios; Magri, Luca
Published in: NeurIPS for Machine Learning and the Physical Sciences, 2022
Publisher: NeurIPS
DOI: 10.48550/arxiv.2210.17319

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems

Author(s): Kelshaw, Daniel; Magri, Luca
Published in: NeurIPS for Machine Learning and the Physical Sciences, 2022
Publisher: NeurIPS
DOI: 10.48550/arxiv.2210.16215

BIAS-AWARE THERMOACOUSTIC DATA ASSIMILATION

Author(s): A NOVOA, A RACCA, L MAGRI
Published in: Inter-Noise 2022, 2025
Publisher: Institute of Acoustics
DOI: 10.25144/14911

Bias-aware thermoacoustic data assimilation

Author(s): Nóvoa, A., Racca, A. & Magri, L.
Published in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2022
Publisher: Institute of Noise Control Engineering
DOI: 10.17863/CAM.104830

On interpretability and proper latent decomposition of autoencoders

Author(s): L. Magri, N. A. K. Doan
Published in: Proceedings of the Center for Turbulence Research Summer Program, 2023
Publisher: Center for Turbulence Research Summer Program

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

Author(s): Bempedelis, Nikolaos; Magri, Luca
Published in: Lecture Notes in Computer Science, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-36027-5_26

High sensitivity of indirect noise predictions in non-isentropic nozzles

Author(s): A. Jain, L. Magri
Published in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings,, 2023
Publisher: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0196

Statistical prediction of extreme events from small datasets

Author(s): Racca, Alberto; Magri, Luca
Published in: Lecture Notes in Computer Science, 2022
Publisher: Springer
DOI: 10.1007/978-3-031-08757-8_58

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

Author(s): Kelshaw, Daniel; Magri, Luca
Published in: NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations}, 2023
Publisher: NeurIPS
DOI: 10.48550/arxiv.2310.06157

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

Author(s): D. Ozan, L. Magri
Published in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2023
Publisher: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0163

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos

Author(s): Özalp, Elise; Margazoglou, Georgios; Magri, Luca
Published in: Lecture Notes in Computer Science, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-36027-5_29

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

Author(s): Traverso, Tullio; Coletti, Francesco; Magri, Luca; Karayiannis, Tassos G.; Matar, Omar K.
Published in: Proceedings of the 17th International Heat Transfer Conference, 2023
Publisher: International Heat Transfer Conference
DOI: 10.48550/arxiv.2305.18406

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events

Author(s): A. Racca, L. Magri
Published in: NeurIPS for Machine Learning and the Physical Sciences, 2023
Publisher: NeurIPS

Convolutional autoencoded echo state network forthe prediction of extreme events in turbulence

Author(s): N. A. K. Doan, A. Racca, L. Magri
Published in: Center for Turbulence Research Proceedings of the Summer Program, 2023
Publisher: Center for Turbulence Research

Short and straight: Geodesics on differentiable manifolds

Author(s): D. Kelshaw, L. Magri
Published in: NeurIPS for Machine Learning and the Physical Sciences, 2023
Publisher: NeurIPS

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Author(s): Doan, Nguyen Anh Khoa; Racca, Alberto; Magri, Luca
Published in: Lecture Notes in Computer Science, 2023
Publisher: Springer
DOI: 10.1007/978-3-031-36027-5_24

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

Author(s): Defne Ege Ozan, Luca Magri
Published in: Lecture Notes in Computer Science, Computational Science – ICCS 2024, 2024, Page(s) 345-352
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63775-9_25

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