2022 Annual Meeting

Session: Data-Driven/Machine Learning-Enabled Design for Nanocomposites

Chair

Po-Yen Chen, University of Maryland

Co-Chairs

Sandra Ike, Penn State University
Amanda Koh, University of Alabama

Presentations

08:00 AM

(697a) Machine Learning–Enabled Design of All-Natural Plastic Substitutes
Tianle Chen, Shuaiming He, Haitao Yang, Snehi Shrestha, Joshua Little, Po-Yen Chen

08:20 AM

(697b) Accelerated Design of Flame Retardant Polymeric Nanocomposites Via Machine Learning
Zhuoran Zhang, Zeren Jiao, Ruiqing Shen, Qingsheng Wang

08:40 AM

(697c) Machine Learning Assisted Development of Electrochemical Cortisol Sensor Based on Electropolymerized Molecularly Imprinted Polymer
Yixin Liu, Grace Dykstra, Kai Zhou

09:00 AM

(697d) Data-Driven Design of Mxene Aerogels with Programmable Mechanical Performance Via Active Learning and Collaborative Robots
Snehi Shrestha, Po-Yen Chen, Tianle Chen, Shuaiming He

09:20 AM

(697e) Monitoring Catalysts Synthesis Using Real-Time Emission Spectroscopy and Advanced Machine Learning Models
Can Wang, Ben Ko, Musa Najimu, Erdem Sasmaz

09:40 AM

(697f) Automatic Stretchable Conductor Design and Fabrication Via Machine Learning
Haochen Yang, Po-Yen Chen