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George Haller

@GeorgeHallerETH • 2,353 subscribers

Professor of Nonlinear Dynamics at @ETH_en. Former faculty at @BrownUniversity, @MIT and @mcgillu Group page: https://t.co/yzv5n3vvRz

Shorts

The power of data-driven spectral submanifold (SSM) reduction: Nonlinear oscillations of an elastic flag in counter flow, together with its reconstructed chaotic attractor within a 4D SSM. Obtained directly from the videos of the experiment.

The power of data-driven spectral submanifold (SSM) reduction: Nonlinear oscillations of an elastic flag in counter flow, together with its reconstructed chaotic attractor within a 4D SSM. Obtained directly from the videos of the experiment.

88,390 views

A smooth, data-driven reduced model using Spectral Submanifolds (SSMs) outperform all other competing approaches on a non-smooth tribomechadynamics benchmark challenge problem:

A smooth, data-driven reduced model using Spectral Submanifolds (SSMs) outperform all other competing approaches on a non-smooth tribomechadynamics benchmark challenge problem:

16,161 views

Videos

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A 2D SSM-reduced model accurately predicts the motion of the full, nonlinear, finite-element model of a plate in a random pressure field. General theory of random SSMs (random spectral submanifolds) with examples here:

A 2D SSM-reduced model accurately predicts the motion of the full, nonlinear, finite-element model of a plate in a random pressure field. General theory of random SSMs (random spectral submanifolds) with examples here:

21,550 views • 1 year ago

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