Events Archive

Nov
05
2021
2021 Halloween Howey Pumpkin Drop, presented by Society of Physics Students
This annual event is free and no RSVP is required — drop by the outside of Howey Physics Building to see frozen and glitter-filled pumpkins explode and learn about science and physics!
Nov
04
2021
Optica Seminar
Otto Muskens will deliver the November 4 Optica Seminar, which is entitled "Shaping Light Using Ultrafast and Programmable Nano-optics."
Nov
03
2021
Nonlinear Science Webinar
Data-driven estimation of inertial manifold dimension for chaotic Kolmogorov flow and time evolution on the manifold
Nov
01
2021
School of Physics Colloquium
Crackdown on Academic Collaboration with China Harms American Science
Oct
28
2021
CRA Seminar: Steve Sclafani
Oct
27
2021
Nonlinear Science Webinar
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.
Oct
26
2021
School of Physics Colloquiums
Oct
25
2021
School of Physics Colloquium
The Beginning of the Quantum Era
Oct
20
2021
Nonlinear Science Webinar
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.  
Oct
20
2021
Quantum Matter Seminar
Quantifying entanglement and detecting Kardar-Parisi-Zhang transport in spin chains using neutron scattering

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