BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Statistics and Data Science seminar
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260615T210944Z
UID:tag:localist.com\,2008:EventInstance_42176169622249
DTSTART:20230417T142000Z
DTEND:20230417T151000Z
DESCRIPTION:Speaker: Stephen McCoy\, UTK\n\nTitle: iQSPR methods for materi
 al design\n\nAbstract: Establishing a relationship between the raw chemica
 l products used in industrial polymers and the properties of their end pro
 duct material is a time consuming and expensive endevour. Mathematical mod
 els address problems of this type and have aided research and development 
 efforts across the whole spectrum of material design. Most of the modeling
  efforts to date have focused on solving quantitative structure-property r
 elationships (QSPR) by starting from the known chemicals and establishing 
 a mathematical model to predict the resulting properties.\n\nIn this talk 
 I will cover the modeling procedure of QSPR inversion (iQSPR)\, where the 
 starting point is the desired properties and a statistical learning model 
 is employed to predict the chemical products and compositions that would g
 ive rise to those properties. The development\, execution\, and characteri
 stic results of the model applied to industry data will be discussed as we
 ll as future implications from the prediction ability of the model.
GEO:35.957579;-83.925751
LOCATION:Ayres Hall\, G013
SUMMARY:Statistics and Data Science seminar
URL;VALUE=URI:https://calendar.utk.edu/event/statistics_and_data_science_se
 minar_7303
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END:VCALENDAR