Droplets on highly deformable, elastic surfaces exhibit unusual wetting behaviour. The deformability of the substrate alters the contact angle with respect to Young’s law, while spreading dynamics is fundamentally different from that on rigid surfaces. Here we report recent experimental and theoretical progress, and highlight some of the salie...
Creator:
Snoeijer, Jacco (Universiteit Twente)
Created:
2018-03-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This workshop will explore the science/academic enterprise and pose the question of where new Ph.D. graduates fit. Use of the basic job-seeking skills of networking, interviewing, and negotiation will be discussed in terms of how these skills can aid you in seeking what you want, and avoiding what you don't want.
Creator:
Snowden, Frank W. (University of Minnesota, Twin Cities)
Created:
2010-03-27
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
From the contributor: "My partner, Ryan, and his friends have been playing Magic the Gathering on Monday nights for over a year. After skipping it one week, they realized they weren't going to be getting together any time soon, so started getting creative with how to keep playing via Google Hangouts. [This] photo (taken by Amber Snow-Krause) is...
Creator:
Snow-Krause, Amber
Contributor:
Nelson, Becky
Created:
2020-04
Contributed By:
Archives and Special Collections, Kathryn A. Martin Library, University of Minnesota Duluth
The problem of state estimation has come to be known as 'data assimilation' in many geophysical applications. I will review data assimilation for the atmosphere, especially for numerical weather prediction. A distinguishing characteristic of atmospheric data assimilation is the diversity and extremely large numbers of observations considered and...
Creator:
Snyder, Chris (National Center for Atmospheric Research)
Created:
2015-06-25
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
A common observation in data-driven applications is that high dimensional data has a low intrinsic dimension, at least locally. Thus, when one wishes to work with data that is not governed by a clear set of equations, but still wishes to perform statistical or other scientific analysis, an optional model is the assumption of an underlying manifo...
Creator:
Sober, Barak (Duke University)
Created:
2020-12-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.