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Seminars

List of seminars
Speaker Title Time Location
Beverley McKeon

Data-driven descriptions of linear & nonlinear interactions in wall turbulence

Tue, May 21
10:30-11:30

Faxén, Teknikringen 8

Steve Brunton

Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics

Thu, May 23
10:30-11:30
Faxén, Teknikringen 8
Nathan Kutz Deep Learning Architectures for Science and Engineering Mon, May 27
10:30-11:30
Digital Futures Hub
Javier Jiménez Fake Turbulence

Thu, May 30
10:30-11:30

Faxén, Teknikringen 8
Carola-Bibiane Schönlieb Machine learned regularisation for inverse problems - the dos and don’ts Thu, Jun 6 10:30-11:30 Digital Futures Hub
Simon Arridge Nonlinear Inverse Problems with Learning Thu, Jun 13 TBD Digital Futures Hub

More seminars to be announced.

Belongs to: Scientific Machine Learning for Simulation and Inverse Modelling
Last changed: May 20, 2024