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

 

City 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

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

Doan NAK, Polifke W, Magri L, 2021, Auto-Encoded Reservoir Computing for Turbulence Learning

Racca A, Magri L, 2021, Automatic-differentiated Physics-Informed Echo State Network (API-ESN)

Racca A, Magri L, 2021, Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics

Conference

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

More Publications