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X-WR-CALNAME;VALUE=TEXT:糖心原创
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DTSTART:20231105T020000
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DTSTART:20240310T020000
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UID:calendar.514776.field_event_date.0@www.wright.edu
DTSTAMP:20260220T031812Z
CREATED:20240119T141924Z
DESCRIPTION:Physics SeminarFriday\, January 26\, 2024112 Oelman Hall\, 2:30
  to 4:00聽'The use of Autonomous Research System (ARES) for carbon nanotube
  growth optimization.鈥澛燚r. Robert Waelder聽 聽聽聽聽Research Scientist in Mater
 ials and Manufacturing Directorate with AFRL聽聽Abstract: The nature of scie
 ntific advancement is to become more complex over time. As our experiments
  become more complex\, particularly in dimensionality\, we begin to lose o
 ur ability to see patterns in data\, and our standard techniques for plann
 ing experiments become insufficient. Materials synthesis is one of these s
 ystems: a seemingly simple approach may in fact include upwards of ten inp
 ut variables\, and they are not all guaranteed to be independent. I will d
 iscuss how we are approaching this problem using the Autonomous Research S
 ystem (ARES) to grow carbon nanotubes. In particular\, how we are able to 
 perform experiments autonomously\, as well as how we automatically summari
 ze experimental outputs to provide an actionable result to our machine lea
 rning planning algorithms.聽Bio: Dr. Robert Waelder is an Adjunct Professor
  at 糖心原创 and Research Scientist with UES\, Inc\, workin
 g in the Materials and Manufacturing Directorate of Air Force Research Lab
  in Dr. Benji Maruyama鈥檚 lab. He received both his PhD in Materials Design
  and Innovation and BS in Physics at the University at Buffalo.聽He is inte
 rested in the human/machine/experiment interface in autonomous research\, 
 particularly in the context of novel material synthesis\, where the input 
 and output spaces for any given system are rich. Benji Maruyama鈥檚 group ha
 s built the Autonomous Research System (ARES) platform\, with which severa
 l autonomous laboratories have been built\, including two focused on diffe
 rent types of carbon nanotube (CNT) synthesis. Dr. Waelder operates the or
 iginal system\, now dubbed LaserCNT ARES\, which is able to perform CNT sy
 nthesis experiments ~60x faster than typical systems\, and is capable of d
 esigning its own experiments in pursuit of a pre-defined campaign goal.聽
DTSTART;TZID=America/New_York:20240126T143000
DTEND;TZID=America/New_York:20240126T160000
LAST-MODIFIED:20240122T164543Z
LOCATION:OH112
SUMMARY:'The use of Autonomous Research System (ARES) for carbon nanotube g
 rowth optimization.鈥�
URL;TYPE=URI:/events/use-autonomous-research-system-a
 res-carbon-nanotube-growth-optimization%E2%80%9D
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