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

Friday, November 20, 2020: 7:00 AM - 8:15 AM
Applications of Data Science to Molecules and Materials (T3) (vFairs Auditorium)

Description:
This session includes invited talks to the plenary session of the 2019 topical conference on molecular and materials data science.

Sponsor:
Applications of Data Science to Molecules and Materials
Co-Sponsor(s):
Catalysis and Reaction Engineering Division (20), Computational Molecular Science and Engineering Forum (21), Information Management and Intelligent Systems (10E), Pharmaceutical Discovery, Development and Manufacturing Forum (26)
Chair:
Jim Pfaendtner Email: jpfaendt@uw.edu
Co-chairs:
Johannes Hachmann Email: hachmann@buffalo.edu
Elizabeth Nance Email: eanance@uw.edu
Heather J. Kulik Email: hjkulik@mit.edu


7:00 AM
(209a) A Data-Driven Approach to Understanding and Predicting the Early Formation of the Solid-Liquid Electrolyte Interphase
Kristin Persson


7:15 AM
(209b) Accelerating the Discovery of Novel Perovskites with Robots and Data
Joshua Schrier


7:30 AM
(209c) Streamlining Small Molecule Design and Synthesis
Connor W. Coley


7:45 AM
(209d) Transitioning from ‘Traditional’ to Data-Driven 'wet’ Laboratories: Growing-Pains and Future Outlook
Lilo Pozzo, Jaime Rodriguez Jr., Kacper Lachowski, Caitlyn Wolf, Sage Scheiwiller, Maria Politi and Shrilakshmi Bonageri


8:00 AM
(209e) Accelerating Molecular Discovery with Machine Learning and AI
Olexandr Isayev
See more of this Group/Topical: Topical Conference: Applications of Data Science to Molecules and Materials
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