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TZID:America/Chicago
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DTSTART:20240310T030000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T150135
UID:198747@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20240923T153000
DTEND;TZID=America/Chicago:20240923T163000
DESCRIPTION:Sustainable Energy Seminar Series: Dane Morgan\, Professor\, Ma
 terials Science and Engineering. Rapid transport of oxygen across and thro
 ugh materials is at the heart of technologies from solid oxide fuel cells 
 to gas separation membranes to memristors. In recent years\, developments 
 in computational approaches\, including accurate high-throughput molecular
  simulations and data-centric descriptor and machine learning methods\, ha
 ve emerged as powerful tools in the search for the next generation of fast
  oxygen materials.\n\nCONTACT: spwilliams@wisc.edu\n\nURL: https://energy.
 wisc.edu/events/molecular-simulations-and-machine-learning-computational-d
 esign-materials-fast-oxygen\n\nONLINE: https://uwmadison.zoom.us/webinar/r
 egister/9017247109376/WN_PjV06RPUSOC4wVN8yKVoww
LOCATION:1115 Wisconsin Energy Institute  (Also offered online)
SUMMARY:Molecular Simulations and Machine Learning for Computational Design
  of Materials with Fast Oxygen Kinetics
URL;VALUE=URI:https://energy.wisc.edu/events/molecular-simulations-and-mach
 ine-learning-computational-design-materials-fast-oxygen
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