Oct
20
Teaser:

Quantifying entanglement and detecting Kardar-Parisi-Zhang transport in spin chains using neutron scattering

Dr. Allen O Scheie
Neutron Scattering Division, ORNL
Oct
20
Teaser:

Speaker Mike Graham Overview: Data-driven dimension reduction, dynamic modeling, and control of complex chaotic systems

Our overall aim is to combine ideas from dynamical systems theory and machine learning to develop and apply reduced-order models of flow processes with complex chaotic dynamics. A particular aim is a minimal description of dynamics on manifolds of dimension much less than the nominal state dimension and use of these models to develop effective control strategies for reducing energy dissipation.

 

1. Alec Linot and 2. Kevin Zeng
Dept. of Chemical and Biological Engineering, Univ. of Wisconsin-Madison
Oct
25
Teaser:
Mikhail Shifman
University of Minnesota
Oct
27
Teaser:

Mike Graham - Overview:   Data-driven dimension reduction, dynamic modeling, and control of complex chaotic systems

Our overall aim is to combine ideas from dynamical systems theory and machine learning to develop and apply reduced-order models of flow processes with complex chaotic dynamics. A particular aim is a minimal description of dynamics on manifolds of dimension much less than the nominal state dimension and use of these models to develop effective control strategies for reducing energy dissipation.

1. Speaker Carlo Perez de Jesus 2. Speaker Daniel Floryan
Dept. of Chemical and Biological Engineering, Univ. of Wisconsin-Madison
Nov
01
Teaser:

Crackdown on Academic Collaboration with China Harms American Science

Xi Xiaoxing
Temple University
Nov
08
Teaser:
Margaret Gardel
University of Chicago
Nov
15
Teaser:
Giulia Galli
Nov
22
Teaser:
Angela V. Olinto