2020 Virtual AIChE Annual Meeting

Session: Applications of Data Science to High Throughput Experimentation

Chair

Nance, E., UNIVERSITY OF WASHINGTON

Co-Chair

Hachmann, J., University at Buffalo, SUNY

Presentations

08:00 AM

(403a) High-Throughput Approach to Studying Adsorption on Zeolite Surfaces

08:15 AM

(403b) Machine Learning-Guided Flow Synthesis of Inorganic Metal Halide Perovskite Quantum Dots

08:30 AM

(403c) High-Throughput and Data-Driven Strategies for the Design of Deep Eutectic Solvent Electrolytes

08:45 AM

(403d) Development of a Hybrid Model to Describe the Dynamics of a Partially Known System

09:00 AM

(403e) Ffiber: Framework for Fluorescent Neuroimaging Based Experimental Routines

09:15 AM

(403f) Data-Driven Discovery of Polymeric Vehicles for Gene Editing:Serendipity-Inspired Design Directions.

09:30 AM

(403g) Artificial Intelligence-Assisted Full-Map Understanding of Strain Sensing Devices and Designated Predictions for Soft Robotic Systems