Dec
06
Teaser: Scanning Probe Studies of Quasi-Two-Dimensional Organic Networks
Zachery Enderson
Georgia Institute of Technology
Dec
06
Teaser:

Just enough entanglement: simulating quantum systems without a quantum computer

Steve R. White
University of California Irvine
Dec
02
Teaser: Testing General Relativity and Probing Nuclear Physics in the era of Gravitational Waves
Sudarshan Ghonge
Georgia Institute of Technology
Dec
01
Teaser:

Exact Coherent Structures and Data-Driven Modelling in a Two-Dimensional Fluid

Logan Kageorge
Georgia Institute of Technology
Nov
22
Teaser: Space Observatories for the Highest Energy Astroparticles
Angela V. Olinto
University of Chicago
Nov
19
Teaser:

Spatiotemporal impact of phage and immune cell exposure on biofilm systems

Hemaa Selvakumar
Georgia Institute of Technology
Nov
18
Teaser:

Inferring ecological interactions from dynamics in phage-bacteria communities

Ashley Coenen
Georgia Institute of Technology
Nov
15
Teaser: The many facets of light activated matter: from energy sustainability to quantum information science
Giulia Galli
University of Chicago
Nov
11
Teaser: Semiconductor Particle Detector based on Work Function Modulation
Elaine Rhoades
Georgia Institute of Technology
Nov
10
Teaser:

Charting dynamics from data

Daniel Floryan
Mechanical Engineering at the University of Houston
Nov
08
Teaser: Physics of Morphogenetic Matter
Margaret Gardel
University of Chicago
Nov
03
Teaser:

Data-driven estimation of inertial manifold dimension for chaotic Kolmogorov flow and time evolution on the manifold

Carlos Perez de Jesus
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
Oct
28
Teaser:
Steve Sclafani
Drexel University
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 Kevin Zeng 2. Speaker Carlos Perez de Jesus
Dept. of Chemical and Biological Engineering, Univ. of Wisconsin-Madison

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