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Publications
Proceedings
2020 Virtual AIChE Annual Meeting
Topical Conference: Applications of Data Science to Molecules and Materials
Applications of Data Science to High Throughput Experimentation
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