2020 Virtual AIChE Annual Meeting

Session: Applications of Data Science to High Throughput Experimentation

Chair

Elizabeth Nance, UNIVERSITY OF WASHINGTON

Co-Chair

Johannes Hachmann, University at Buffalo, SUNY

Presentations

08:00 AM

(403a) High-Throughput Approach to Studying Adsorption on Zeolite Surfaces
Martin Head-Gordon, Alexis Bell, Hassan AlJama

08:15 AM

(403b) Machine Learning-Guided Flow Synthesis of Inorganic Metal Halide Perovskite Quantum Dots
Robert Epps, Amanda Volk, Kameel Abdel-Latif, Kristopher G. Reyes, Milad Abolhasani

08:30 AM

(403c) High-Throughput and Data-Driven Strategies for the Design of Deep Eutectic Solvent Electrolytes
Jaime Rodriguez, Lilo Pozzo, Maria Politi, Shrilakshmi Bonageri, Sage Scheiwiller

08:45 AM

(403d) Development of a Hybrid Model to Describe the Dynamics of a Partially Known System
Dongheon Lee, Arul Jayaraman, Joseph Kwon

09:00 AM

(403e) Ffiber: Framework for Fluorescent Neuroimaging Based Experimental Routines
Hawley Helmbrecht, Elizabeth Nance

09:15 AM

(403f) Data-Driven Discovery of Polymeric Vehicles for Gene Editing:Serendipity-Inspired Design Directions.
Ramya Kumar, Ngoc Le, Zhe Tan, Theresa M. Reineke

09:30 AM

(403g) Artificial Intelligence-Assisted Full-Map Understanding of Strain Sensing Devices and Designated Predictions for Soft Robotic Systems
Jiali Li, Haitao Yang, Kaizhuo Lim, Chuanji Pan, Xiaoli Liu, Xiaonan Wang, Po-Yen Chen