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

Magri L, Schmid PJ, Moeck JP, 2023, Linear Flow Analysis Inspired by Mathematical Methods from Quantum Mechanics, Annual Review of Fluid Mechanics, Vol:55, ISSN:0066-4189, Pages:541-574

Margazoglou G, Magri L, 2023, Stability analysis of chaotic systems from data, Nonlinear Dynamics, ISSN:0924-090X

Racca A, Magri L, 2022, Data-driven prediction and control of extreme events in a chaotic flow, Physical Review Fluids, Vol:7, ISSN:2469-990X

Novoa A, Magri L, 2022, Real-time thermoacoustic data assimilation, Journal of Fluid Mechanics, Vol:948, ISSN:0022-1120

Conference

Kelshaw D, Rigas G, Magri L, Physics-informed CNNs for super-resolution of sparse observations on dynamical systems, 36th conference on Neural Information Processing Systems (NeurIPS)

More Publications