Applications of Data Science to High Throughput Experimentation
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Topical Conference: Applications of Data Science to Molecules and Materials
Applications of Data Science to Molecules and Materials (T3)
PreRecorded+
Wednesday, November 18, 2020 - 8:00am to 9:00am
Chair(s)
Nance, E., UNIVERSITY OF WASHINGTON
Co-chair(s)
Hachmann, J., University at Buffalo, SUNY
This session invites submissions on research that aims to leverage tools of data science for high throughput experimental work. Data-driven approaches include, but are not limited to, robotics approaches for automatic experimental work, high-throughput screening, machine learning, data mining, meta-analysis. All research areas of interest to chemical engineers are welcome. Submissions should articulate the impact of data science on the problem of interest and clearly articulate the experimental component of the work.
Presentations
8:15 AM
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Pricing
Individuals
| AIChE Pro Members | $150.00 |
| AIChE Emeritus Members | $105.00 |
| AIChE Graduate Student Members | Free |
| AIChE Undergraduate Student Members | Free |
| AIChE Explorer Members | $225.00 |
| Non-Members | $225.00 |