Imperial College London

Luca Magri

Faculty of EngineeringDepartment of Aeronautics

Reader in Data-Driven Fluid Mechanics
 
 
 
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Contact

 

l.magri

 
 
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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

Doan NAK, Polifke W, Magri L, 2021, Short- and long-term prediction of a chaotic flow: A physics-constrained reservoir computing approach

Conference

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

More Publications