2020 Virtual AIChE Annual Meeting

Session: Topical Plenary: Topical Conference in Molecular and Materials Data Science (Invited Talks)

Chair

Pfaendtner, J., University of Washington

Co-Chairs

Hachmann, J., University at Buffalo, SUNY
Nance, E., UNIVERSITY OF WASHINGTON

Presentations

07:00 AM

(209a) A Data-Driven Approach to Understanding and Predicting the Early Formation of the Solid-Liquid Electrolyte Interphase

07:15 AM

(209b) Accelerating the Discovery of Novel Perovskites with Robots and Data

07:30 AM

(209c) Streamlining Small Molecule Design and Synthesis

07:45 AM

(209d) Transitioning from ‘Traditional’ to Data-Driven 'wet’ Laboratories: Growing-Pains and Future Outlook

08:00 AM

(209e) Accelerating Molecular Discovery with Machine Learning and AI