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January 2020
Physics Colloquium – Andrew Ferguson
Andrew Ferguson, University of Chicago
Reconstructing All-Atom Protein Folding from Low-Dimensional Experimental Time Series
Data-driven modeling and machine learning present powerful tools that are opening up new paradigms and opportunities in the understanding, discovery, and design of soft and biological materials. In the first part of this talk, I will describe an approach integrating ideas from dynamical systems theory and nonlinear manifold learning to reconstruct multidimensional protein folding funnels from the time evolution of single experimentally measurable observables.
Find out more »February 2020
Physics Colloquium – Gregory Rudnick
Gregory Rudnick, University of Kansas
The Life Cycle of Galaxies in Clusters Over 10 Billion Years
Galaxies live in a range of environments, characterized by their volume density. For example, the densest regions of the Universe are in galaxy clusters, which contain hundreds to thousands of galaxies all in pseudo gravitational virial equilibrium. These dense environments can in turn alter the properties of the galaxies themselves in striking ways via a variety of gravitational and hydrodynamic processes. The result of these processes alter galaxy shapes, their internal dynamics, and shuts off the formation of new stars.
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