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DTSTART:20230312T070000
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DTSTART;TZID=America/Toronto:20231208T110000
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URL:https://uwaterloo.ca/chemical-engineering/events/masc-oral-exam-predict
 ing-adsorbent-performance-carbon
SUMMARY:MASc Oral Exam| Predicting Adsorbent Performance for Carbon Capture
 \nusing Machine Learning Models by Terry Ming Yui So
CLASS:PUBLIC
DESCRIPTION:Carbon capture is a promising way to slow down climate change f
 rom\nanthropogenic sources. One of the carbon capture technologies that is
 \nbeing actively researched is adsorption. Given the increasing amount\nof
  literature that present novel ideas\, being able to predict this\ninforma
 tion based on adsorbent textural properties is desirable. In\nthis thesis\
 , machine learning is used to construct a model to estimate\nadsorbent per
 formance.
DTSTAMP:20260428T214838Z
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