Physics-constrained adaptive learning for multi-physics optimization

Project Information

PhyCo

Grant agreement ID: 949388

DOI

10.3030/949388

EC signature date 7 September 2020

Start date 1 June 2021

End date 31 May 2027

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 500 000,00

EU contribution

€ 1 500 000,00

Coordinated by

POLITECNICO DI TORINO
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (18)

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

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

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

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

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

Conference proceedings (16)

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): 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