Physics-constrained adaptive learning for multi-physics optimization

Publikacje

Indirect noise from weakly reacting inhomogeneities

Autorzy: Animesh Jain; Andrea Giusti; Luca Magri
Opublikowane w: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Wydawca: Cambridge University Press
DOI: 10.1017/jfm.2023.396

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter

Autorzy: Andrea Nóvoa; Alberto Racca; Luca Magri
Opublikowane w: Computer Methods in Applied Mechanics and Engineering, 2023, ISSN 1879-2138
Wydawca: Elsevier
DOI: 10.1016/j.cma.2023.116502

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Autorzy: A. Racca, N. A. K. Doan, L. Magri
Opublikowane w: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Wydawca: Cambridge University Press
DOI: 10.1017/jfm.2023.716

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

Autorzy: Elise Özalp; Georgios Margazoglou; Luca Magri
Opublikowane w: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, ISSN 1054-1500
Wydawca: American Institute of Physics
DOI: 10.1063/5.0159479

Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics

Autorzy: L. Magri, P. Schmid, J. Moeck
Opublikowane w: Annual Review of Fluid Mechanics, 2023, ISSN 1545-4479
Wydawca: Annual Reviews
DOI: 10.1146/annurev-fluid-031022-044209

A Hybrid Adjoint Network Model for Thermoacoustic Optimization

Autorzy: F. Schäfer, W. Polifke, L. Magri
Opublikowane w: J. Eng. Gas Turbines Power., 2021, ISSN 0742-4795
Wydawca: American Society of Mechanical Engineers
DOI: 10.1115/1.4051959

Gradient-free optimization of chaotic acoustics with reservoir computing

Autorzy: Francisco Huhn; Luca Magri
Opublikowane w: Physical Review Fluids, 2022, ISSN 2469-990X
Wydawca: American Physical Society
DOI: 10.1103/physrevfluids.7.014402

Sound Generation in Multicomponent Nozzle Flows With Dissipation

Autorzy: A. Jain., L. Magri
Opublikowane w: J. Eng. Gas Turbines Power., 2022, ISSN 0742-4795
Wydawca: 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

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

Stability analysis of chaotic systems from data

Autorzy: Margazoglou, Georgios; Magri, Luca
Opublikowane w: Nonlinear dynamics, 2023, ISSN 1573-269X
Wydawca: Springer
DOI: 10.1007/s11071-023-08285-1

Hard-constrained neural networks for modelling nonlinear acoustics

Autorzy: Ozan, Defne Ege; Magri, Luca
Opublikowane w: Physical Review Fluids, 2023, ISSN 2469-990X
Wydawca: American Physical Society
DOI: 10.1103/physrevfluids.8.103201

Real-time thermoacoustic data assimilation

Autorzy: A. Nóvoa; L. Magri
Opublikowane w: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Wydawca: Cambridge University Press
DOI: 10.1017/jfm.2022.653

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

Autorzy: A. Jain, L. Magri
Opublikowane w: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Wydawca: Cambridge University Press
DOI: 10.1017/jfm.2022.27

Compositional noise in nozzles with dissipation

Autorzy: Animesh Jain; Luca Magri
Opublikowane w: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Wydawca: Cambridge University Press
DOI: 10.1017/jfm.2023.240

Data-driven modeling for drop size distributions

Autorzy: T. Traverso; T. Abadie; O. K. Matar; L. Magri
Opublikowane w: Physical Review Fluids, 2023, ISSN 2469-990X
Wydawca: American Physical Society
DOI: 10.1103/physrevfluids.8.104302

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

Autorzy: Alberto Racca; Luca Magri
Opublikowane w: Physical Review Fluids, 2022, ISSN 2469-990X
Wydawca: American Physical Society
DOI: 10.1103/physrevfluids.7.104402

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

Autorzy: Margazoglou, Georgios; Magri, Luca
Opublikowane w: Lecture Notes in Computer Science, 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-36027-5_31

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

Autorzy: Kelshaw, Daniel; Rigas, Georgios; Magri, Luca
Opublikowane w: NeurIPS for Machine Learning and the Physical Sciences, 2022
Wydawca: NeurIPS
DOI: 10.48550/arxiv.2210.17319

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

Autorzy: Kelshaw, Daniel; Magri, Luca
Opublikowane w: NeurIPS for Machine Learning and the Physical Sciences, 2022
Wydawca: NeurIPS
DOI: 10.48550/arxiv.2210.16215

On interpretability and proper latent decomposition of autoencoders

Autorzy: L. Magri, N. A. K. Doan
Opublikowane w: Proceedings of the Center for Turbulence Research Summer Program, 2023
Wydawca: Center for Turbulence Research Summer Program

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

Autorzy: Bempedelis, Nikolaos; Magri, Luca
Opublikowane w: Lecture Notes in Computer Science, 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-36027-5_26

High sensitivity of indirect noise predictions in non-isentropic nozzles

Autorzy: A. Jain, L. Magri
Opublikowane w: INTER-NOISE and NOISE-CON Congress and Conference Proceedings,, 2023
Wydawca: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0196

Statistical prediction of extreme events from small datasets

Autorzy: Racca, Alberto; Magri, Luca
Opublikowane w: Lecture Notes in Computer Science, 2022
Wydawca: Springer
DOI: 10.1007/978-3-031-08757-8_58

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

Autorzy: Kelshaw, Daniel; Magri, Luca
Opublikowane w: NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations}, 2023
Wydawca: NeurIPS
DOI: 10.48550/arxiv.2310.06157

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

Autorzy: D. Ozan, L. Magri
Opublikowane w: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2023
Wydawca: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0163

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

Autorzy: Özalp, Elise; Margazoglou, Georgios; Magri, Luca
Opublikowane w: Lecture Notes in Computer Science, 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-36027-5_29

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

Autorzy: Traverso, Tullio; Coletti, Francesco; Magri, Luca; Karayiannis, Tassos G.; Matar, Omar K.
Opublikowane w: Proceedings of the 17th International Heat Transfer Conference, 2023
Wydawca: International Heat Transfer Conference
DOI: 10.48550/arxiv.2305.18406

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

Autorzy: A. Racca, L. Magri
Opublikowane w: NeurIPS for Machine Learning and the Physical Sciences, 2023
Wydawca: NeurIPS

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

Autorzy: N. A. K. Doan, A. Racca, L. Magri
Opublikowane w: Center for Turbulence Research Proceedings of the Summer Program, 2023
Wydawca: Center for Turbulence Research

Short and straight: Geodesics on differentiable manifolds

Autorzy: D. Kelshaw, L. Magri
Opublikowane w: NeurIPS for Machine Learning and the Physical Sciences, 2023
Wydawca: NeurIPS

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

Autorzy: Doan, Nguyen Anh Khoa; Racca, Alberto; Magri, Luca
Opublikowane w: Lecture Notes in Computer Science, 2023
Wydawca: Springer
DOI: 10.1007/978-3-031-36027-5_24

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