Imperial College London

Luca Magri

Faculty of EngineeringDepartment of Aeronautics

Reader in Data-Driven Fluid Mechanics
 
 
 
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Contact

 

l.magri Website

 
 
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Location

 

CAGB324City and Guilds BuildingSouth Kensington Campus

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Summary

 

Summary

Physics-aware machine learning and data assimilation

Webpage: https://magrilab.ae.ic.ac.uk/


Publications

Journals

Schaefer F, Magri L, Polifke W, 2022, A hybrid adjoint network model for thermoacoustic optimization, Journal of Engineering for Gas Turbines and Power: Transactions of the Asme, Vol:144, ISSN:0742-4795, Pages:1-9

Jain A, Magri L, 2022, A physical model for indirect noise in non-isentropic nozzles: transfer functions and stability, Journal of Fluid Mechanics, Vol:935, ISSN:0022-1120

Huhn F, Magri L, 2022, Gradient-free optimization of chaotic acoustics with reservoir computing, Physical Review Fluids, Vol:7, ISSN:2469-990X

Racca A, Magri L, 2022, Statistical Prediction of Extreme Events from Small Datasets, Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol:13352 LNCS, ISSN:0302-9743, Pages:707-713

Conference

Schaefer F, Magri L, Polifke W, A Hybrid Adjoint Network Model for Thermoacoustic Optimization, ASME Turbo Expo 2021

More Publications