Data Mining and Machine Learning in Molecular Sciences II
AIChE Annual Meeting
2016
2016 AIChE Annual Meeting
Computational Molecular Science and Engineering Forum
Oral
Yosemite A
Hilton San Francisco Union Square
Friday, November 18, 2016 - 12:30pm to 3:00pm
Chair(s)
Co-chair(s)
Computational approaches to correlate, analyze, and understand large and complex data sets are playing increasingly important roles in the physical, chemical, and life sciences. This session solicits submissions pertaining to methodological advances and applications of data mining and machine learning methods, with particular emphasis on data-driven modeling and property prediction, statistical inference, big data, and informatics. Topics of interest include: algorithm development, inverse engineering, chemical property prediction, genomics/proteomics/metabolomics, (virtual) high-throughput screening, rational design, accelerated simulation, biomolecular folding, reaction networks, and quantum chemistry.
Presentations
Topics
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Pricing
Individuals
AIChE Pro Members | $150.00 |
AIChE Graduate Student Members | Free |
AIChE Undergraduate Student Members | Free |
AIChE Explorer Members | $225.00 |
Non-Members | $225.00 |