About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
|
Symposium
|
14th Symposium on Green and Sustainable Technologies for Materials Manufacturing and Processing
|
Presentation Title |
Machine Learning-driven Studies of Carbon Capture and Storage |
Author(s) |
Lan Li, Surojit Gupta |
On-Site Speaker (Planned) |
Lan Li |
Abstract Scope |
We will present different types of carbon capture and storage (CCS) methods and how machine learning advances the development of those methods. Machine learning has been utilized in different segments to enhance the efficiency. This presentation will summarize the machine learning methods commonly used in the CCS and some recommendations for future research in consideration of machine learning models, experiment-modeling-data science-machine learning collaboration, and holistic approach rather than a competing attitude for rapid commercialization of low carbon technologies. |