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How Do Snakes Slither? A Recipe for Reptation

How Do Snakes Slither? A Recipe for Reptation

Mark Levi develops a "dynamical recipe for reptation" by analyzing the physics of slithering snakes.
Nonlinear Dynamical Uncertainty Quantification for Random Differential Equations

Nonlinear Dynamical Uncertainty Quantification for Random Differential Equations

Kerstin Lux from the Technical University of Munich discusses a new article she co-authored in SIADS on extending bifurcation analysis to random differential equations.
Professional Feature - Mary Silber

Professional Feature - Mary Silber

Mary Silber is the Director of the Committee on Computational and Applied Mathematics and a Professor in the Department of Statistics at the University of Chicago.
Dynamics-based Machine Learning for Nonlinearizable Phenomena

Dynamics-based Machine Learning for Nonlinearizable Phenomena

Haller and colleagues demonstrate how dynamics-based machine learning can be used to construct accurate and predictive reduced-order models from data.
Professional Feature - Ann Almgren

Professional Feature - Ann Almgren

Ann Almgren is a Senior Scientist in the Center for Computational Sciences and Engineering at Lawrence Berkeley National Lab and the Department Head of Applied Mathematics in the Applied Mathematics and Computational Research Division.
Wanted: Minitutorial Proposals for DS23

Wanted: Minitutorial Proposals for DS23

SIAM is looking for minitutorial proposals from the DS community.
A Dynamical Systems View of the Outcomes of Viral Infections

A Dynamical Systems View of the Outcomes of Viral Infections

Dynamical model of viral infections by Dixit demonstrates transitions between persistence and clearance as a bifurcation.
Machine Learning for Multiscale Systems: From Turbulence to Climate Prediction

Machine Learning for Multiscale Systems: From Turbulence to Climate Prediction

Balwada and Zanna discuss the importance of balancing physical theory with data assimilation and machine learning in climate modeling.
The London Millennium Footbridge Revisited: Emergent Instability Without Synchronization

The London Millennium Footbridge Revisited: Emergent Instability Without Synchronization

Beleykh and colleagues give evidence that Millennium Bridge instability may not have arise via synchronization using dynamical models and data.
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