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Scientific and Physics-Aware Machine Learning & Data Assimilation
  • Luca Magri
    • Group
    • Collaborations
  • Publications
  • Research
    • Overview
    • Scientific machine learning >
      • Physics-aware machine learning
      • Chaotic time series forecasting
      • Nonlinear model reduction
      • Super-resolution and reconstruction
    • Real-time digital twins and data assimilation >
      • Inferring unknown unknowns: Bias-aware data assimilation
    • Optimization >
      • Bayesian optimisation
      • Chaotic systems
    • Mathematical modelling of multi-physics fluids >
      • Reacting flows and sound
    • Quantum computing and machine learning >
      • Solving nonlinear equations with quantum algorithms
      • Linear methods from quantum mechanics
    • Data and codes
  • Jobs/grants
  • Outreach
    • Research Centre in Data-Driven Engineering
    • Data-driven methods, machine learning and optimization
    • Data-driven Dynamical Systems Analysis
  • Consultancy
  • Teaching
    • University modules
    • Artificial intelligence for engineering
    • Mathematical methods
    • Misc
  • Contact
ORCID ID

Scroll down for:
  • Journal publications
  • PhD theses 
  • Misc
  • Chapters in Books
  • Selected Proceedings
  • Contributions to conferences as of 2016
​

Journal publications and computer science conferences


Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
Mo, Y. & Magri, L.
under review, Physical Review Fluids
Download: preprint


Optimal training of finitely-sampled quantum reservoir computers for forecasting of chaotic dynamics 
Ahmed, O, Tennie, F. & Magri, L.
under review, Quantum Machine Intelligence

Download: preprint

Computing distances and means on manifolds with a metric-constrained Eikonal approach
Kelshaw, D. & Magri, L.
under review, Proceedings of the Royal Society A
Download: preprint

Solving nonlinear differential equations on Quantum Computers: A Fokker-Planck approach
Tennie, F. & Magri,
under review, Quantum

Download: preprint

Extracting self-similarity from data
Bempedelis, N., Magri, L. & Steiros, K.
under review
Download: preprint



Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
Kelshaw, D. & Magri, L.
Data-centric engineering, accepted for publication, to appear.
Download: preprint

Quantum computing for nonlinear differential equations and turbulence
Tennie, F., Laizet, S., Lloyd, S. & Magri, L.
Nature Reviews Physics, accepted for publication, to appear.
Download:
preprint

A real-time digital twin of azimuthal thermoacoustic instabilities
Nóvoa, A., Noiray, N., Dawson, J. & Magri, L.
Journal of Fluid Mechanics, accepted for publication, to appear.
Download:
preprint

Prediction of chaotic dynamics and extreme events: A recurrence-free quantum reservoir computing approach
Ahmed, O, Tennie, F. & Magri, L.
Phys. Rev. Research 6, 043082, 2024.
Download: open access

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

Ozan, D. & Magri, L.
Physical Review Fluids,
9, 103902, 2024.
Download:
open access
Machine Learning and Physics-Driven Modelling and Simulation of Multiphase Systems
Basha, N. & et al.
International Journal of Multiphase Flow, 179, 104936.
Download: published

Decoder decomposition for the analysis of the latent space of nonlinear autoencoders with wind-tunnel experimental data
Mo, Y. & Magri, L.
Data-Centric Engineering, accepted for publication, to appear.
Download: preprint


Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
Ozan, D. & Magri, L., accepted for publication in ICCS Lecture Notes in Computer Science (2024), to appear.
Download: preprint

Data-driven optimisation of wind farm layout and wake steering with large-eddy simulations
Bempedelis, N, Gory, F., Wynn, A., Laizet, S. & Magri, L.
Wind Energy Science, 9, 869–882, 2024.
Download: open access

Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter
Nóvoa, A, Racca, A. & Magri, L.
Computer Methods in Applied Mechanics and Engineering (2023), Vol. 418, Part A, 116502.
Download: open access

Predicting turbulent dynamics with the convolutional autoencoder echo state network 
Racca, A., Doan, N. A. K & Magri, L.
Journal of Fluid Mechanics (2023), vol. 975, A2.
Download: open access

Data-driven modelling for drop size distributions
Traverso, T., Abadie, T., Matar, O.K. & Magri, L.
Physical Review Fluids (2023), 8, 104302.
Download: open access

Hard-constrained neural networks for modelling nonlinear acoustics
Ozan, D. E. & Magri, L.
Physical Review Fluids (2023), 8, 103201.
Download: open access

Control-aware echo state networks (Ca-ESN) for the suppression of extreme events
Racca, A & Magri, L.
NeurIPS for Machine Learning and the Physical Sciences (2023).
Download: preprint

Short and straight: Geodesics on differentiable manifolds
Kelshaw, D. & Magri, L.
NeurIPS for Machine Learning and the Physical Sciences (2023).
Download: preprint


Reconstruction, forecasting, and stability of chaotic dynamics from partial data
Özalp, E., Margazoglou, G. & Magri, L.
Chaos (2023), 33, 093107.
Download: open access

Linear flow analysis inspired by mathematical methods from quantum mechanics
Magri, L., Schmid, P. J. & Moeck, J. P.
Annual Review of Fluid Mechanics (2023), 55 (1), pp. 541--574.
Download: open access

Indirect noise from weakly reacting inhomogeneities
Jain, A. & Magri, L.
Journal of Fluid Mechanics (2023), vol. 965, A9.
Download: open access

Compositional noise in nozzles with dissipation
Jain, A. & Magri, L.
Journal of Fluid Mechanics (2023), vol 963, A11.
Download: open access


A physics-based domain adaptation framework for modeling and forecasting building energy systems 
Xuereb Conti Z., Choudhary, R. & Magri, L.
Data-Centric Engineering (2023), vol. 4, e10.
Download: open access

Stability analysis of chaotic systems from data
Margazoglou, G. & Magri, L.
Nonlinear dynamics (2023), 111, pp. 8799–8819.
Download: open access

Convolutional autoencoder for the spatiotemporal latent representation of turbulence
Doan, N.A.K., Racca, A. & Magri, L.
ICCS Lecture Notes in Computer Science (2023), vol 10476, pp 328–335.
Download: published

Bayesian optimization of the layout of wind farms with a high-fidelity surrogate model
Bempedelis, N. & Magri, L.
ICCS Lecture Notes in Computer Science (2023), vol 10476, pp. 344–352.
Download: published

Data-driven stability analysis of a chaotic time-delayed system
Margazoglou, G. & Magri, L.
ICCS Lecture Notes in Computer Science (2023), vol 10476, pp 406–413.
Download: published

Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
Özalp, E., Margazoglou, G. & Magri, L.
ICCS Lecture Notes in Computer Science (2023), vol 10476, pp 382–389.
Download: published

Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
Kelshaw, D. & Magri, L.
NeurIPS for Machine Learning and the Physical Sciences (2022).
Download: preprint

Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems
Kelshaw, D., Rigas, G. & Magri, L.
NeurIPS for Machine Learning and the Physical Sciences (2022).
Download: preprint

Data-driven prediction and control of extreme events in a chaotic flow
Racca, A. & Magri, L.
Physical Review Fluids (2022), 7, 104402.
Download: preprint, published

Real-time thermoacoustic data assimilation
Nóvoa, A. & Magri, L.
Journal of Fluid Mechanics (2022), 948, A35.
Download: preprint, published

Sound Generation in Multicomponent Nozzle Flows With Dissipation
Jain, A. & Magri, L.  
Journal of Engineering for Gas Turbines and Power (2022), 145(5): 051003.
Download: published

Statistical prediction of extreme events from small datasets
Racca, A. & Magri, L.
Lecture Notes in Computer Science, LNCS (2022), vol. 13352, pp 707–713.
Download: preprint, published

A physical model for indirect noise in non-isentropic nozzles: Transfer functions and stability 
Jain, A. & Magri, L.
Journal of Fluid Mechanics (2022), vol. 935, A33.

Download: open access

Gradient-free optimization of chaotic acoustics with reservoir computing
Huhn, F. & Magri, L.
Physical Review Fluids (2022), 7,
014402.  
Download: preprint, published

A hybrid adjoint network model for thermoacoustic optimization
Schaefer, F., Magri, L. & Polifke, W.
Journal of Engineering for Gas Turbines and Power (2022), 144(3): 031017. 
Download: preprint, published
​

Short- and long-term prediction of chaotic flows and extreme events: A physics-constrained reservoir computing approach
Doan, N. A. K., Polifke, W. & Magri, L.
Proceedings of the Royal Society A (2021), 477:20210135.
Download: published (open access)

Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics 
Racca, A & Magri, L.
Neural networks (2021), vol.142, pp. 252-268. 
Download: preprint, published

Auto-Encoded Reservoir Computing  for Turbulence Learning
Doan, N. A. K., Polifke, W. & Magri, L.
Lecture notes in computer science (2021), vol.12746, pp. 344-351.
Download: preprint, published

Automatic-differentiated physics-informed echo state network
Racca, A. & Magri, L.
Lecture notes in computer science (2021), vol.12746, pp. 323-329.
Download: preprint, published

Using adjoint-based optimization to enhance ignition in non-premixed jets
Qadri, U. A., Magri, L., Ihme, M. & Schmid, P. J.
Proceedings of the Royal Society A (2021),  477.2245: 20200472.
Download: preprint, published
 
Compositional and entropic noise generated in subsonic non-isentropic nozzles
De Domenico, F., Rolland, E., Rodrigues, J., Magri, L., & Hochgreb, S.
Journal of Fluid Mechanics (2021), vol. 910, A5.
Download: published (open access)

A data-driven kinematic model of a ducted premixed flame
Yu, H., Juniper, M. P. & Magri, L. 
Proceedings of the Combustion Institute (2021), 38(4), pp. 6231-6239. 
Download: preprint, published

Physics-informed echo state networks
Doan, N. A. K., Polifke, W. & Magri, L.
Journal of Computational Science (2020), vol. 47, 101237.
Download: preprint, published

Degenerate perturbation theory in thermoacoustics: high-order sensitivities and exceptional points
Orchini, A., Magri, L., Silva, C. F., Mensah, G. & Moeck, J. P.
Journal of Fluid Mechanics (2020), vol. 903, A37. 
Download: preprint, published

Learning ergodic averages in chaotic systems
Huhn, F. & Magri, L.
Lecture Notes in Computer Science, LNCS, (2020), vol. 12142, pp. 124-132.
Download: preprint, published

Learning hidden variables in a chaotic system: A physics-informed echo state network approach
Doan, N. A. K., Polifke, W. & Magri, L.
Lecture Notes in Computer Science, LNCS, (2020), vol. 12142, pp. 117-123.
Download: preprint, published

Optimisation of chaotically perturbed acoustic limit cycles
Huhn, F. & Magri, L. 
Nonlinear dynamics (2020), vol. 100, pp. 1641-1657.
Download: preprint, published version

Sensitivity of the Rayleigh criterion in thermoacoustics
Magri, L., Juniper, M. P. & Moeck, J. P.
Journal of Fluid Mechanics (Rapids) (2020), vol. 882, R1.
Download: preprint, published version

Stability, sensitivity and optimisation of chaotic acoustic oscillations
Huhn, F. & Magri, L. 
Journal of Fluid Mechanics (2020), vol. 882, A24. 
Download: preprint, published version

Combined state and parameter estimation in level-set methods  
Yu, H., Juniper, M. & Magri, L.
Journal of Computational Physics (2019), vol. 399, 108950.
Download: preprint, published version.

Data assimilation and optimal calibration in nonlinear models of flame dynamics 
Yu, H., Jaravel, T., Juniper, M., Ihme, M. & Magri, L.
Journal of Engineering for Gas Turbines and Power (2019), 141(12), 121010.
Download: preprint, published version 

Physics-informed echo state networks for chaotic systems forecasting
Doan, N. A. K, Polifke, W. & Magri, L.
Lecture Notes in Computer Science, LNCS, (2019),  vol. 11539, pp. 192-198.
Download: preprint, published version 

Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization
Traverso, T & Magri, L.
Lecture Notes in Computer Science, LNCS, (2019),  vol. 11539, pp. 156-168.
Download: preprint, published version

Adjoint characteristic decomposition of one-dimensional waves
Magri, L.
Journal of Computational Physics (2019), vol. 388, pp. 454-461.
Download: preprint, published version.

Adjoint methods as design tools in thermoacoustics
Magri, L.
Applied Mechanics Reviews (2019), 71(2), 020801.
Download: preprint, published version.

Thermoacoustic modes of quasi-1D combustors in the region of marginal stability
Silva, C. F, Yong, K. J. & Magri, L.
Journal of Engineering for Gas Turbines and Power (2018), 141(2), 021022.
Download: preprint, published version.

Exceptional points in the thermoacoustic spectrum
Mensah, G., Magri, L., Silva, C., Buschmann, P. & Moeck, J.
Journal of Sound and Vibration (2018), vol. 433, pp. 124-128.
Download: preprint, published version

Effects of asymmetry on thermoacoustic modes in annular combustors: a higher-order perturbation study
Mensah, G., Magri, L., Orchini, A. & Moeck, J.
Journal of Engineering for Gas Turbines and Power (2018), 141(4), 041030.
Dowload: preprint, published version

Flow inhomogeneities in an aeronautical gas-turbine combustor: formation, evolution and indirect noise
Giusti, A., Magri, L. & Zedda, M.
Journal of Engineering for Gas Turbines and Power (2018), 141(1), 011502.
Dowload: preprint, published version

Methods for the calculation of thermoacoustic stability boundaries and Monte-Carlo free uncertainty quantification
Mensah, G., Magri, L. & Moeck, J.
Journal of Engineering for Gas Turbines and Power (2018), vol. 140(6), 061501.
Download: preprint, published version

On indirect noise in multicomponent nozzle flows
Magri, L.
Journal of Fluid Mechanics (2017), vol. 828, R2 (Rapids).
Download: preprint, published version

Lyapunov exponent as a metric for assessing the dynamic content and predictability of Large-Eddy Simulations
Nastac, G., Labahn, J, Magri, L. & Ihme, M.
Physical Review Fluids (2017), vol. 2(9), 094606.
Download: preprint, published version

Effects of nozzle Helmholtz number on indirect combustion noise by compositional perturbations
Magri, L., O'Brien & Ihme, M.
Journal of Engineering for Gas Turbines and Power (2017), vol. 140(3), 031501.
Download: preprint, published version

Adjoint-based sensitivity analysis of low-order thermoacoustic networks using a wave-based approach
Aguilar, J., Magri, L. & Juniper, M. P.
Journal of Computational Physics (2017), vol. 341, pp. 163-181.
Download: preprint, published version

Multiple-scale thermo-acoustic stability analysis of a coaxial jet combustor
Magri, L., Tammisola, O.,  See, Y. C., Ihme, M. & Juniper, M. P.
Proceedings of the Combustion Institute (2017), vol. 36(3), pp. 3863–3871.
Download: preprint, published version

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification
Magri, L., Bauerheim F., Nicoud, F. & Juniper, M. P.
Journal of Computational Physics (2016), vol 325, pp. 411-421.
Download: preprint, published version

Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity
Magri, L., Bauerheim F. & Juniper, M. P.
Journal of Computational Physics (2016), vol 325, pp. 395-410.
Download: preprint, published version

Uncertainty quantification of growth rates of thermoacoustic instability by an adjoint Helmholtz solver
Silva, C., Magri, L., Runte, T.  & Polifke, W.
Journal of Engineering for Gas Turbines and Power (2016), vol 139(1), pp. 011901. 
Download: preprint, published version

Compositional inhomogeneities as a source of indirect combustion noise
Magri, L., O'Brien, J. & Ihme, M. 
Journal of Fluid Mechanics (2016), vol. 799, R4 (Rapids).
Download: preprint, published version

Global modes, receptivity, and sensitivity analysis of diffusion flames coupled with duct acoustics
Magri, L. & Juniper, M. P.
Journal of Fluid Mechanics (2014), vol. 752, pp. 237-265.
Download: preprint, published version

Adjoint-based linear analysis in reduced-order thermo-acoustic models
Magri, L. & Juniper, M. P.
International Journal of Spray and Combustion Dynamics (2014), vol. 6(3), pp. 225-246.
Download: preprint, published version

Non-normality in combustion-acoustic interaction of diffusion flames: a critical revision
Magri, L., Balasubramanian, K., Sujith, R. I. & Juniper, M. P.
Journal of Fluid Mechanics (2013), vol. 733, pp. 681-683.
Download: preprint, published version

On the use of the theory of dynamical systems for transient problems
Galvanetto, U. & Magri, L.
Nonlinear Dynamics (2013), vol. 74(1), pp 373-380.
Download: preprint, published version

Sensitivity analysis of a time-delayed thermo-acoustic system via an adjoint-based approach
Magri, L. & Juniper, M. P.
Journal of Fluid Mechanics (2013), vol. 719, pp. 183-202.
Download: preprint, published version

A theoretical approach for passive control of thermo-acoustic oscillations: application to ducted flames
Magri, L. & Juniper, M. P
Journal of Engineering for Gas Turbines and Power (2013), vol. 135(9), 091604.
Download: published version

Example of a non-smooth Hopf bifurcation in an aero-elastic system
Magri, L. & Galvanetto, U.
Mechanics Research Communications (2012), vol. 40, pp. 26-33.
Download: preprint, published version

PhD theses

Indirect noise in non-isentropic flows
Animesh Jain (2023)
​Download: PhD thesis

Neural networks for the prediction of chaos and turbulence
Alberto Racca (2023)
​Download: 
PhD thesis

Optimization of chaotic thermoacoustics
Francisco Huhn (2022)
​Download: 
PhD thesis
​

Inverse problems in thermoacoustics
Hans Yu (2020)
Download: PhD thesis

Chapters in books

Prediction of chaotic dynamics from data: An introduction
Magri, L., Nóvoa, A. & Özalp, E.
VKI Lecture Series, Machine Learning for Fluid Dynamics, (2024), to appear.

Physics-informed data-driven prediction of turbulent reacting flows with Lyapunov analysis and sequential data assimilation
Magri, L. & Doan, N. A. K.

Data Analysis in Direct Numerical Simulation of Turbulent Combustion (2020), Springer, pp. 177-196.
Download: published
.

Application of receptivity and sensitivity analysis to thermoacoustic instability
Juniper, M. P. & Magri, L.
VKI Lecture Series, Progress in flow instability analysis and laminar-turbulent transition modeling (2014), ISBN 978-2-87516-063-8.
Download: preprint

Miscellaneous

Enabling sustainable electrification of the UK economy
Aston, J., Borovykh, A., Laizet, S., Magri, L., Rigas, G., Shah, A., Vogiatzaki, K. & Weiland, M.
UK Parliament, Written evidence, ESE0017

First-principles machine learning for COVID-19 modeling
Magri, L. & Doan, N. A. K.
SIAM News, (2020), 53(4)
Download: online

First-principles machine learning modeling of COVID-19
Magri, L. & Doan, N. A. K.
Report, Rapid Assistance Modelling in the Pandemic (RAMP) (2020)
Download: preprint

Physics-constrained data-driven methods for unsteady fluids
Magri, L. & Doan, N. A. K.
TU Institute for Advanced Study Annual Reports (2019)
Download: preprint

Selected Proceedings

A machine learning approach to the prediction of heat transfer coefficients in microchannels
Traverso, T., Coletti, F., Magri, L., Karayiannis, T. G. & Matar, O. K.,
Proceedings of the 17th International Heat Transfer Conference (2023), IHTC-17, Cape Town (South Africa).
Download: preprint

On interpretability and proper latent decomposition of autoencoders
​
Magri, L. & Doan, N. A. K.
Proceedings of the Center for Turbulence Research Summer Program (2023), pp. 107-115.
Download: preprint

Convolutional autoencoded echo state network for the prediction of extreme events in turbulence
​
Doan, N. A. K., Racca, A. & Magri, L.
Proceedings of the Center for Turbulence Research Summer Program (2023), pp. 97-106.
Download: preprint

Physics-aware learning of nonlinear limit cycles and adjoint limit cycles
​
Ozan, D & Magri, L.
INTER-NOISE and NOISE-CON Congress and Conference Proceedings (2022)
InterNoise22, Glasgow, Scotland, Pages 999-1999, pp. 1191-1199(9)
doi.org/10.3397/IN_2022_0163

Bias-aware thermoacoustic data assimilation 
​
Nóvoa, A., Racca, A. & Magri, L.
INTER-NOISE and NOISE-CON Congress and Conference Proceedings (2022)
InterNoise22, Glasgow, Scotland, Pages 999-1999, pp. 1924-1931(8)
doi.org/10.3397/IN_2022_0271

High sensitivity of indirect noise predictions in non-isentropic nozzles
​Jain, A. & Magri, L.
INTER-NOISE and NOISE-CON Congress and Conference Proceedings (2022)
InterNoise22, Glasgow, Scotland, Pages 999-1999, pp. 1433-1440(8)
doi.org/10.3397/IN_2022_0196

Statistical prediction of extreme events from small datasets
Racca, A. & Magri, L.
International Conference on Computational Science (2022), London.
Download: preprint

Sound Generation in Multicomponent Nozzle Flows With Dissipation
Jain, A. & Magri, L.  
ASME Turbo Expo (2022), GT2021-80431​, Rotterdam.

A hybrid adjoint network model for thermoacoustic optimization
Schaefer, F., Magri, L. & Polifke, W.
ASME Turbo Expo (2021), GT2021-59866, Online.

Physics-informed echo state networks for chaotic systems forecasting
Doan, N. A. K, Polifke, W. & Magri, L.
International Conference on Computational Science (2019), Faro, Portugal.

Data assimilation in a nonlinear time-delayed dynamical system with Lagrangian optimization
Traverso, T & Magri, L.
International Conference on Computational Science (2019), Faro, Portugal.

Direct, indirect and compositional noise generated in a nozzle with losses
De Domenico, F., Rolland, E., Magri, L. & Hochgreb, S.
11th Mediterranean Combustion Symposium (2019), #49, Tenerife, Spain.

Physics-informed data-driven prediction of premixed flame dynamics with data assimilation
Yu, H., Juniper, M., Jaravel, T., Labahn, J., Ihme, M. & Magri, L.
Proceedings of the Center for Turbulence Research Summer Program (2018), pp. 329-338.
Download: published version

Data assimilation and optimal calibration in nonlinear models of flame dynamics 
Yu, H., Jaravel, T., Juniper, M., Ihme, M. & Magri, L.
ASME Turbo Expo (2019), GT2019-92052, Phoenix, USA.
Download: preprint

Sound generated by accelerating reacting flow inhomogeneities
Magri, L. & Giusti, A.
37th International Symposium on Combustion, Gas Turbine and Rocket Engine Combustion Colloquium (2018).

Flow inhomogeneities in an aeronautical gas-turbine combustor: formation, evolution and indirect noise
Giusti, A., Magri, L. & Zedda, M.
ASME Turbo Expo (2018),  GT2018-76436.
Download: published version

Effects of asymmetry on thermoacoustic modes in annular combustors: a higher-order perturbation study
Mensah, G., Magri, L., Orchini, A. & Moeck, J.
ASME Turbo Expo (2018),  GT2018-76797.
Download: published version

Thermoacoustic modes of quasi-1D combustors in the region of marginal stability
Silva, C. F, Yong, K. J. & Magri, L.
ASME Turbo Expo (2018),  GT2018-76921.
Download: published version

Lyapunov exponent as a metric to determine the quality and predictability of large-eddy simulations of turbulent combustion
Labahn, J., Nastac, G., Magri, L. & Ihme, M.
Combustion Institute, Canadian Section, Contribution ID: 172.

Effects of nozzle Helmholtz number on indirect combustion noise by compositional perturbations

Magri, L., O'Brien, J. & Ihme, M.
ASME Turbo Expo (2017),  GT2017-63382.
Download: published version

Methods for the calculation of thermoacoustic stability margins and Monte-Carlo free uncertainty quantification
Mensah, G., Magri, L. & Moeck, J.
ASME Turbo Expo (2017) , GT2017-64829.
Download: published version

Determining dynamic content of turbulent flow LES using the Lyapunov exponent
Labahn, J. W., Nastac, G., Magri, L. & Ihme, M.
Center for Turbulence Research Annual Research Briefs (2017), pp. 77-89.
Download: published version

Compositional inhomogeneities as a source of indirect noise in subsonic and supersonic nozzles
Magri, L., O'Brien, J. & Ihme, M.
Center for Turbulence Research Annual Research Briefs (2016), pp. 235-246.
Download: published version

Optimal ignition placement in diffusion flames by nonlinear adjoint looping
Qadri, U., Magri, L., Ihme, M. & Schmid, P.
Proceedings of the Center for Turbulence Research Summer Program (2016), pp. 95-104.
Download: published version

Adjoint-based sensitivity analysis of a reactive jet in crossflow
Sashittal, P., Sayadi, T., Schmid, P., Jang, I. & Magri, L.
Proceedings of the Center for Turbulence Research Summer Program (2016), pp. 375-384.
Download: published version

Towards a Chaotic Adjoint for LES
Blonigan, P., Fernandez, P., Murman, P., Wang, Q., Rigas, G. & Magri, L.
Proceedings of the Center for Turbulence Research Summer Program (2016), pp. 385-394.
Download: published version

Symmetry breaking in a 3D bluff-body wake
Rigas, G.,  Esclapez, L. & Magri, L.
Proceedings of the Center for Turbulence Research Summer Program (2016), pp. 193-202.
Download: published version

Inspecting Lagrangian coherent structures in turbulent combustion simulations
Nair, V., Nastac, G., Magri, L. & Ihme, M.
Proceedings of the Center for Turbulence Research Summer Program (2016), pp. 105-112.
Download: published version

Sensitivity analysis in low order thermoacoustic networks using a wave-based approach
Aguilar, J.G., Magri, L. & Juniper, M. P.
Thermoacoustic Instabilities in Gas Turbines and Rocket Engines (2016), Munich, Germany.  

Efficient uncertainty quantification of thermo-acoustic stability
Magri, L., Bauerheim, M., Nicoud, F., Ihme, M. & Juniper, M. P.
Thermoacoustic Instabilities in Gas Turbines and Rocket Engines, Munich (2016), Germany. 

Multiple-scale thermo-acoustic stability analysis of a coaxial jet combustor
Magri, L., Tammisola, O.,  See, Y. C., Ihme, M. & Juniper, M. P.
36th Symposium on Combustion (2016), Seoul, Korea. 

Uncertainty quantification of growth rates of thermoacoustic instability by an adjoint Helmholtz solver
Silva, C., Runte, T., Polifke, W. & Magri, L.
ASME Turbo Expo (2016),  GT2016-57659.
Download: published version

Recent advances in linear methods for sensitivity, passive control and modeling of thermo-acoustic instabilities
Magri, L. & Ihme, M.
Center for Turbulence Research Annual Research Briefs (2015), pp. 89-102. 
Download: preprint, published version

Sensitivity analysis of thermo-acoustic eigenproblems with adjoint methods
Juniper, M. P., Magri, L.,  Bauerheim, M. & Nicoud, F.
Proceedings of the Center for Turbulence Research Summer Program (2014), pp. 189-198.
Download: preprint, published version

Non-smooth simulations of aeroelastic systems
Galvanetto, U, Coccon, M. & Magri, L.
AANS Analysis and Applications of Non-smooth Systems (2014), Como, Italy.
Download: presentation

Adjoint sensitivity analysis of thermo-acoustic/hydrodynamic instabilities in turbulent combustion chambers
Magri, L., See Y. C., Ihme M. & Juniper, M. P.
Proceedings of the Center for Turbulence Research Summer Program (2014), pp. 199-208.
Download: published version

Use of the theory of dynamical systems for transient problems: application to the switching-on problem
Galvanetto, U. & Magri, L.
AIMETA - Theoretical and applied mechanics conference (2013), Turin, Italy.
Download: preprint

Using direct and adjoint eigenfunctions to find optimal control strategies in thermo-acoustics
Magri, L. & Juniper, M. P.
Non-Normal and Nonlinear Effects in Aero- and Thermoacoustics, n3l (2013), Munich, Germany.

A novel theoretical approach for passive control of thermo-acoustic oscillations: application to ducted heat sources
Magri, L. & Juniper, M. P
ASME Turbo Expo (2013), GT2013-94344.
Download: published version

Incomplete list of contributions to conferences as of 2016

​Quantum Reservoir Computing for chaotic time series and extreme events forecasting
Ahmed, O., Tennie, F. & Magri, L. 
Quantum Techniques in Machine Learning (QTML) (2923), CERN.  

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Simulation of nonlinear partial differential equations with quantum algorithms: A Fokker-Planck approach
Tennie, F. & Magri, L.
American Physical Society (APS) (2023), Washington DC, USA.
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Real-time digital twins of thermoacoustic instabilities in hydrogen-fuelled annular combustors
Nóvoa, A., Noiray, N., Dawson, J. & Magri, L.
American Physical Society (APS) (2023), Washington DC, USA.
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Optimizing the output of wind farms with micro-siting and wake steering: An LES-informed data-driven approach
Bempedelis, N., Gori, F., Wynn, A., Laizet, S. & Magri, L.
American Physical Society (APS) (2023), Washington DC, USA.
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Data-driven inference of adjoint sensitivities without adjoint solvers: An application to thermoacoustics
Ozan, D.E. & Magri, L.
American Physical Society (APS) (2023), Washington DC, USA.
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Data-driven dimensional analysis and modelling of two-phase heat-transfer in small-to-micro tubes

Traverso, T., Coletti, F., Magri, L., Karayiannis, T. & Matar, O.
American Physical Society (APS) (2023), Washington DC, USA.
View abstract

Modelling Two-Phase Heat Transfer in Small-to-Micro Tubes Using Data-Driven Dimensional Analysis
Traverso, T., Coletti, F., Magri, L., Karayiannis, T. & Matar, O.

MNF - Micro and Nano Flows (2023), Padova, Italy

What is machine learning learning?
Autoencoders for reduced-order modelling of turbulence

Magri, L., Kelshaw, D. & Doan, N.A.K.
22nd Computational fluids conference (CFC) (2023), Cannes
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Interpretable Nonlinear Reduced-Order Modelling with Autoencoders
Magri, L. & Doan, N.A.K.
SIAM-CSE, Amsterdam (2023)
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Interpretability of the latent space of autoencoders
Magri, L. & Doan, N.A.K.
American Physical Society (APS) (2022), Indianapolis, USA.
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Extracting Navier-Stokes solutions from noisy data with physics-constrained convolutional neural networks
Kelshaw, D. & Magri, L.
American Physical Society (APS) (2022), Indianapolis, USA.
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Real-time data assimilation for model-error inference
Nóvoa, A. & Magri, L.
American Physical Society (APS) (2022), Indianapolis, USA.
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Data-driven prediction of Jacobians and Covariant Lyapunov Vectors in chaotic flows
Margazoglou, G. & Magri, L.
American Physical Society (APS) (2022), Indianapolis, USA.
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Learning spatiotemporal dynamics in a turbulent flow: A 3D Autoencoded Reservoir Computer approach
Doan, N.A.K, Racca, A. & Magri, L.
American Physical Society (APS) (2002), Indianapolis, USA.
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Data-driven surrogate modelling of drop-size distribution
Traverso, T., Abadie, T., Matar, M. & Magri, L.
American Physical Society (APS) (2022), Indianapolis, USA.
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Physics-aware learning of thermoacoustic limit cycles
Ozan, D. & Magri, L.
American Physical Society (APS) (2022), Division of Fluid Dynamics Indianapolis.
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Real-time thermoacoustic data assimilation with reservoir computing
Novoa, A., Racca, A. & Magri, L.
EuroMech 14th European Fluid Mechanics Conference (2022), Athens.

Prediction and control of extreme events in turbulent shear flow with recurrent neural networks
Racca, A. & Magri, L.
EuroMech 14th European Fluid Mechanics Conference (2022), Athens. 

Stable or unstable? The effect of compositional perturbations on thermoacoustic stability
Jain, A. & Magri, L.
EuroMech 14th European Fluid Mechanics Conference (2022), Athens. 

Marrying physics with data-driven methods for chaotic and extreme flows
Magri, L.
IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics (2022), Aarhus, Denmark.
View abstract
​

Gradient-Free Optimization with Bayesian Echo State Networks: Applications in Acoustics
Huhn, F. & Magri, L.
SIAM Conference on Uncertainty Quantification (UQ22), Atlanta, USA. 
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Real-time data assimilation of nonlinear thermoacoustics 
Novoa Martinez, A. & Magri, L.
American Physical Society (APS) (2021), Phoenix, USA.
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Autoencoded Reservoir Computing for the Spatio-Temporal Prediction of a Turbulent Flow
Doan, N. A. K & Magri, L.
American Physical Society (APS) (2021), Phoenix, USA.
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Gradient-free optimization of chaotic acoustics with echo state networks
Huhn, F. & Magri, L.
American Physical Society (APS) (2021), Phoenix, USA.
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A physical model to predict indirect noise in multicomponent non-isentropic nozzle flows
Jain, A. & Magri, L.
American Physical Society (APS) (2021), Phoenix, USA.
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Physics-aware reservoir computing for chaotic learning
Magri, L., Racca, A. & Doan, N. A. K.
EuroMech 614, Machine learning methods for prediction and control of turbulent flows (2021), Paris, France.
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Indirect noise in subsonic-choked non-isentropic nozzles
Jain, A. & Magri, L.
Symposium on Thermoacoustics in Combustion (SoTiC) (2021), Munich, Germany.

Autoencoded Reservoir Computing for the Spatio-Temporal Prediction of a Turbulent Flow
Doan, N. A. K., Polifke, W. & Magri, L.
American Physical Society (APS) (2020), Online.

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Robust Reservoir Computing for the Prediction of Chaotic Systems
Racca, A. & Magri, L.
American Physical Society (APS) (2020), Online.

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A Bayesian approach for predicting and filtering linear and nonlinear thermoacoustic oscillations
Novoa Martinez, A. & Magri, L.
American Physical Society (APS) (2020), Online.

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Automatic-differentiated shadowing methods for optimization and data assimilation of chaotic acoustics
Chandramoorthy, N., Magri, L. & Wang, Q.
American Physical Society (APS) (2020), Online.

View abstract, Video presentation

The role of Exceptional Points in the thermoacoustic spectrum
Orchini, A., Magri, L., Silva, C., Mensah, G. & Moeck, J.
American Physical Society (APS) (2020), Online.
View abstract, Video presentation
 
An adjoint precursor of extreme events in chaotic systems
Racca, A. & Magri, L.
25th International Congress of Theoretical and Applied Mechanics (ICTAM), Milan, 2021

Data assimilation in multi-physical flows for the design of aeronautical propulsion systems
Magri, L.
SIAM Conference on Uncertainty Quantification (SIAM UQ2020)
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Time-Accurate Calibration of a Thermoacoustic Model on Experimental Images of a Forced Premixed Flame
Yu, H., Sengupta, U., Juniper, M. & Magri, L.
SIAM Conference on Uncertainty Quantification (SIAM UQ2020)
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The adjoint Rayleigh criterion in compressible reacting flow instabilities
Magri, L., Juniper, M. P. & Moeck, J. P.
American Physical Society (APS) (2019), Seattle, USA.

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Physics-Informed Echo State Networks for the Prediction of Extreme Events in Turbulent Shear Flows
Doan, N. A. K., Polifke, W. & Magri, L.
American Physical Society (APS) (2019), Seattle, USA.

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Physics-informed Echo State Networks for the prediction of chaotic systems
Magri, L., Huhn, F. & Doan, N.A.K.
American Physical Society (APS) (2019), Seattle, USA.

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Time-Accurate Calibration of a Thermoacoustic Model on Experimental Images of a Forced Premixed Flame
Yu, H., Sengupta, U., Juniper, M. P. & Magri, L.
American Physical Society (APS) (2019), Seattle, USA.

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Interpretability within a level-set data assimilation framework
Yu, H, Juniper, M. P. & Magri, L.
SIAM Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, Pisa, Italy

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Statistical learning by data assimilation in reacting flows
Magri, L., Yu, H, Juniper, M. P., Polifke, W & Doan, N. A. K.
17th International Conference on Numerical Combustion (2019), Aachen, Germany

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Data assimilation for a level set premixed flame model: making a qualitative model quantitatively accurate
Juniper, M. P., Yu, H & Magri, L.
17th International Conference on Numerical Combustion (2019), Aachen, Germany

View abstract

Stability, sensitivity and optimization of unsteady thermoacoustic systems
Magri, L. & Huhn, F.
SIAM Conference on Computational Science and Engineering (2019), Spokane, USA.

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Exceptional points in the thermoacoustic spectrum in longitudinal configurations
Magri, L., Mensah, G., Silva, C., Buschmann, P. & Moeck, J.
American Physical Society (APS) (2018), Atlanta, USA.

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A Bayesian Approach for Predicting Thermoacoustic Oscillations in an electrically-heated Rijke Tube
Garita, F., Yu, H., Magri, L. & Juniper, M. P.
American Physical Society (APS) (2018), Atlanta, USA.
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Higher-order degenerate points in annular thermoacoustic systems
Moeck, J., Orchini, A., Buschmann, P., Mensah, G. & Magri, L.
American Physical Society (APS) (2018), Atlanta, USA.
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Data assimilation and parameter estimation of thermoacoustic instabilities in a ducted premixed flame
Yu, H., Jaravel, T., Ihme, M., Garita, F., Juniper, M. P. & Magri, L.
American Physical Society (APS) (2018), Atlanta, USA.
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Data assimilation in thermoacoustic instability with Lagrangian optimization
Traverso, T., Bottaro, A. & Magri, L.
EuroMech12 (2018), Vienna, Austria.
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Stability and sensitivity of a chaotic thermoacoustic system with covariant Lyapunov vectors
Huhn, F. & Magri, L.
EuroMech12 (2018), Vienna, Austria.
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Data assimilation and parameter estimation of thermoacoustic instabilities in a ducted premixed flame
Yu, H., Garita, F., Juniper, M. P. & Magri, L.
EuroMech12 (2018), Vienna, Austria.
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Data assimilation and parameter estimation of thermoacoustic instabilities in a ducted premixed flame
Yu, H., Garita, F., Juniper, M. P. & Magri, L.
UK Fluids conference (2018), Manchester, UK.
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Stability, receptivity and sensitivity of linear, periodic and chaotic flows: application to a thermoacoustic system
Magri, L. & Wang, Q.
American Physical Society (APS) (2017), Denver, USA.
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Sensitivity analysis of hydrodynamic chaos in combustion using NILSS-AD
Chandramoorthy, N., Wang, Q., Magri, L., Narayanan, S. H. K. & Hovland, P.
American Physical Society (APS) (2017), Denver, USA.
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Determining flow and simulation dependent properties of turbulent flows based on an analysis of the Lyapunov exponent
Labahn, J., Nastac, G., Magri, L. & Ihme, M.
American Physical Society (APS) (2017), Denver, USA.
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Symmetry breaking in 3D bluff-body wakes
Rigas, G., Esclapez, L. & Magri, L.
EuroMech Colloquium 591: Three-dimensional instability mechanisms in transitional and turbulent flows, Bari, Italy
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Sensitivity of wakes via global stability analysis, covariant Lyapunov vectors and shadowing method
Magri, L., Rigas, G., Esclapez, L. & Wang, Q.
SIAM Conference on Computational Science and Engineering (2017), Atlanta, USA. 
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Optimal ignition placement using nonlinear adjoint looping
Qadri, U., Schmid, P., Magri, L. & Ihme, M.
American Physical Society (APS) (2016), Portland, USA. 
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Lyapunov exponents, covariant vectors and shadowing sensitivity analysis of 3D wakes: from laminar to chaotic regimes
Wang, Q., Rigas, G.,  Esclapez, L.,  Magri, L. & Blonigan, P.
American Physical Society (APS) (2016), Portland, USA.
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Generation of indirect combustion noise by compositional inhomogeneities
Magri, L., O'Brien, F. & Ihme, M.
American Physical Society (APS) (2016), Portland, USA. 
View abstract

© 2024 Luca Magri
  • Luca Magri
    • Group
    • Collaborations
  • Publications
  • Research
    • Overview
    • Scientific machine learning >
      • Physics-aware machine learning
      • Chaotic time series forecasting
      • Nonlinear model reduction
      • Super-resolution and reconstruction
    • Real-time digital twins and data assimilation >
      • Inferring unknown unknowns: Bias-aware data assimilation
    • Optimization >
      • Bayesian optimisation
      • Chaotic systems
    • Mathematical modelling of multi-physics fluids >
      • Reacting flows and sound
    • Quantum computing and machine learning >
      • Solving nonlinear equations with quantum algorithms
      • Linear methods from quantum mechanics
    • Data and codes
  • Jobs/grants
  • Outreach
    • Research Centre in Data-Driven Engineering
    • Data-driven methods, machine learning and optimization
    • Data-driven Dynamical Systems Analysis
  • Consultancy
  • Teaching
    • University modules
    • Artificial intelligence for engineering
    • Mathematical methods
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