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

Chair(s):
Pfaendtner, J., University of Washington
Co-chair(s):
Hachmann, J., University at Buffalo, SUNY
Nance, E., UNIVERSITY OF WASHINGTON

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

Papers:
7:00 AM
(209a) A Data-Driven Approach to Understanding and Predicting the Early Formation of the Solid-Liquid Electrolyte Interphase
7:15 AM
(209b) Accelerating the Discovery of Novel Perovskites with Robots and Data
7:30 AM
(209c) Streamlining Small Molecule Design and Synthesis
7:45 AM
(209d) Transitioning from ‘Traditional’ to Data-Driven 'wet’ Laboratories: Growing-Pains and Future Outlook
8:00 AM
(209e) Accelerating Molecular Discovery with Machine Learning and AI
Topics: 
Reaction Mechanism
Computational Molecular Engineering
Computing and Systems Engineering

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Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.

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Pricing

Individuals

AIChE Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
Non-Members $225.00