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VERSION:2.0
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PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:0
UID:UW-Physics-Event-5347
DTSTART:20200210T180500Z
DTEND:20200210T185500Z
DTSTAMP:20260414T231322Z
LAST-MODIFIED:20200203T222007Z
LOCATION:2241 Chamberlin Hall
SUMMARY:Accelerating our understanding of the multi-scale dynamics of
high-energy plasmas\, Plasma Physics (Physics/ECE/NE 922) Seminar\, Pa
ulo Alves\, Stanford\, SLAC National Accelerator Laboratory
DESCRIPTION:At the core of many long-standing challenges in plasma phy
sics\, from controlling nuclear fusion to understanding the accelerati
on of the most energetic particles in the Universe\, is the problem of
capturing the multi-scale interplay between kinetic processes and glo
bal plasma dynamics. State-of-the-art kinetic simulations are beginnin
g to capture a sufficiently large dynamical range to probe fundamental
aspects of this interplay. Advances in experimental capabilities are
further allowing us to closely validate theoretical/computational mode
ls\, and even probe beyond the range of scales accessible to our large
st simulations. Moreover\, the increasing quantity and quality of plas
ma data being produced is creating new opportunities for innovation in
the way we tackle these long-standing challenges.
\n
\nIn thi
s talk\, I will discuss how state-of-the-art kinetic simulations are b
eginning to unveil the physics interplay between kinetic plasma proces
ses and global plasma dynamics in the context of magnetic field genera
tion and particle acceleration in relativistic astrophysical outflows.
I will also discuss how techniques from the fields of Artificial Inte
lligence and Machine Learning can help us take full advantage of the d
ata from high-fidelity numerical simulations and experiments to accele
rate the discovery of reduced descriptions of kinetic plasma processes
\, and improve the physics fidelity of multi-scale plasma models.
URL:https://www.physics.wisc.edu/events/?id=5347
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