MASc Oral Exam| Predicting Adsorbent Performance for Carbon Capture using Machine Learning Models by Terry Ming Yui So
Carbon capture is a promising way to slow down climate change from anthropogenic sources. One of the carbon capture technologies that is being actively researched is adsorption. Given the increasing amount of literature that present novel ideas, being able to predict this information based on adsorbent textural properties is desirable. In this thesis, machine learning is used to construct a model to estimate adsorbent performance.