Physics-constrained adaptive learning for multi-physics optimization

Pubblicazioni

Indirect noise from weakly reacting inhomogeneities

Autori: Animesh Jain; Andrea Giusti; Luca Magri
Pubblicato in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Editore: Cambridge University Press
DOI: 10.1017/jfm.2023.396

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter

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

Predicting turbulent dynamics with the convolutional autoencoder echo state network

Autori: A. Racca, N. A. K. Doan, L. Magri
Pubblicato in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Editore: Cambridge University Press
DOI: 10.1017/jfm.2023.716

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

Autori: Elise Özalp; Georgios Margazoglou; Luca Magri
Pubblicato in: Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023, ISSN 1054-1500
Editore: American Institute of Physics
DOI: 10.1063/5.0159479

Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics

Autori: L. Magri, P. Schmid, J. Moeck
Pubblicato in: Annual Review of Fluid Mechanics, 2023, ISSN 1545-4479
Editore: Annual Reviews
DOI: 10.1146/annurev-fluid-031022-044209

A Hybrid Adjoint Network Model for Thermoacoustic Optimization

Autori: F. Schäfer, W. Polifke, L. Magri
Pubblicato in: J. Eng. Gas Turbines Power., 2021, ISSN 0742-4795
Editore: American Society of Mechanical Engineers
DOI: 10.1115/1.4051959

Gradient-free optimization of chaotic acoustics with reservoir computing

Autori: Francisco Huhn; Luca Magri
Pubblicato in: Physical Review Fluids, 2022, ISSN 2469-990X
Editore: American Physical Society
DOI: 10.1103/physrevfluids.7.014402

Sound Generation in Multicomponent Nozzle Flows With Dissipation

Autori: A. Jain., L. Magri
Pubblicato in: J. Eng. Gas Turbines Power., 2022, ISSN 0742-4795
Editore: 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

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

Stability analysis of chaotic systems from data

Autori: Margazoglou, Georgios; Magri, Luca
Pubblicato in: Nonlinear dynamics, 2023, ISSN 1573-269X
Editore: Springer
DOI: 10.1007/s11071-023-08285-1

Hard-constrained neural networks for modelling nonlinear acoustics

Autori: Ozan, Defne Ege; Magri, Luca
Pubblicato in: Physical Review Fluids, 2023, ISSN 2469-990X
Editore: American Physical Society
DOI: 10.1103/physrevfluids.8.103201

Real-time thermoacoustic data assimilation

Autori: A. Nóvoa; L. Magri
Pubblicato in: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Editore: Cambridge University Press
DOI: 10.1017/jfm.2022.653

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

Autori: A. Jain, L. Magri
Pubblicato in: Journal of Fluid Mechanics, 2022, ISSN 0022-1120
Editore: Cambridge University Press
DOI: 10.1017/jfm.2022.27

Compositional noise in nozzles with dissipation

Autori: Animesh Jain; Luca Magri
Pubblicato in: Journal of Fluid Mechanics, 2023, ISSN 0022-1120
Editore: Cambridge University Press
DOI: 10.1017/jfm.2023.240

Data-driven modeling for drop size distributions

Autori: T. Traverso; T. Abadie; O. K. Matar; L. Magri
Pubblicato in: Physical Review Fluids, 2023, ISSN 2469-990X
Editore: American Physical Society
DOI: 10.1103/physrevfluids.8.104302

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

Autori: Alberto Racca; Luca Magri
Pubblicato in: Physical Review Fluids, 2022, ISSN 2469-990X
Editore: American Physical Society
DOI: 10.1103/physrevfluids.7.104402

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

Autori: Margazoglou, Georgios; Magri, Luca
Pubblicato in: Lecture Notes in Computer Science, 2023
Editore: Springer
DOI: 10.1007/978-3-031-36027-5_31

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

Autori: Kelshaw, Daniel; Rigas, Georgios; Magri, Luca
Pubblicato in: NeurIPS for Machine Learning and the Physical Sciences, 2022
Editore: NeurIPS
DOI: 10.48550/arxiv.2210.17319

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

Autori: Kelshaw, Daniel; Magri, Luca
Pubblicato in: NeurIPS for Machine Learning and the Physical Sciences, 2022
Editore: NeurIPS
DOI: 10.48550/arxiv.2210.16215

On interpretability and proper latent decomposition of autoencoders

Autori: L. Magri, N. A. K. Doan
Pubblicato in: Proceedings of the Center for Turbulence Research Summer Program, 2023
Editore: Center for Turbulence Research Summer Program

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

Autori: Bempedelis, Nikolaos; Magri, Luca
Pubblicato in: Lecture Notes in Computer Science, 2023
Editore: Springer
DOI: 10.1007/978-3-031-36027-5_26

High sensitivity of indirect noise predictions in non-isentropic nozzles

Autori: A. Jain, L. Magri
Pubblicato in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings,, 2023
Editore: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0196

Statistical prediction of extreme events from small datasets

Autori: Racca, Alberto; Magri, Luca
Pubblicato in: Lecture Notes in Computer Science, 2022
Editore: Springer
DOI: 10.1007/978-3-031-08757-8_58

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

Autori: Kelshaw, Daniel; Magri, Luca
Pubblicato in: NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations}, 2023
Editore: NeurIPS
DOI: 10.48550/arxiv.2310.06157

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

Autori: D. Ozan, L. Magri
Pubblicato in: INTER-NOISE and NOISE-CON Congress and Conference Proceedings, 2023
Editore: Institute of Noise Control Engineering
DOI: 10.3397/in_2022_0163

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

Autori: Özalp, Elise; Margazoglou, Georgios; Magri, Luca
Pubblicato in: Lecture Notes in Computer Science, 2023
Editore: Springer
DOI: 10.1007/978-3-031-36027-5_29

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

Autori: Traverso, Tullio; Coletti, Francesco; Magri, Luca; Karayiannis, Tassos G.; Matar, Omar K.
Pubblicato in: Proceedings of the 17th International Heat Transfer Conference, 2023
Editore: International Heat Transfer Conference
DOI: 10.48550/arxiv.2305.18406

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

Autori: A. Racca, L. Magri
Pubblicato in: NeurIPS for Machine Learning and the Physical Sciences, 2023
Editore: NeurIPS

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

Autori: N. A. K. Doan, A. Racca, L. Magri
Pubblicato in: Center for Turbulence Research Proceedings of the Summer Program, 2023
Editore: Center for Turbulence Research

Short and straight: Geodesics on differentiable manifolds

Autori: D. Kelshaw, L. Magri
Pubblicato in: NeurIPS for Machine Learning and the Physical Sciences, 2023
Editore: NeurIPS

Convolutional autoencoder for the spatiotemporal latent representation of turbulence

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

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