Applications of Data Science to High Throughput Experimentation
AIChE Annual Meeting
2021 Annual Meeting
Topical Conference: Applications of Data Science to Molecules and Materials
Marriott Copley Place
Monday, November 8, 2021 - 12:30pm to 3:00pm
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.
Paper abstracts are public but to access Extended Abstracts, you must first purchase the conference proceedings.
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|AIChE Emeritus Members||$105.00|
|AIChE Graduate Student Members||Free|
|AIChE Undergraduate Student Members||Free|