Language is the Future of Chemistry

Language is the Future of Chemistry

Presented by Andrew White 

Wednesday, September 27, 2023, 9:00 pm to 10:00 pm EDT

Large language models (LLMs) are beginning a new era of chemistry, where LLMs can connect and reason about experiments, tools, and databases to accomplish open-ended tasks in chemistry. This is creating both new opportunities in accelerating chemistry, but also increasing the challenge of interpretation of model outputs. Andrew White will summarize his recent work on applying LLMs to authentic chemical challenges, their ability to use tools, access scientific literature, and how we can force them to explain themselves.

Andrew White is an associate of professor at the University of Rochester in chemical engineering with affiliate appointments in chemistry, biophysics, materials science, and data science. He has a Ph.D. in chemical engineering from the University of Washington and did postdoc training in chemistry at the University of Chicago. White's research group studies the deep learning and molecular simulation of peptides and small molecules. He and his group work on the adaption of deep learning to chemistry and materials, with research on graph neural networks, explaining deep learning models, large language models, and Bayesian optimization. Andrew has won young investigator awards from NSF and NIH, professional society awards in chemical engineering, teaching awards from the University of Rochester, and engineer of the year in Rochester, NY. Andrew's group is currently funded by the DOE, NSF, and NIH.

This meeting is free and open to all, not just to Virtual Local Section members.  

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PRIMARY MEETING (LIVE PRESENTATION/LIVE CHAT)

9:00 PM ET Wednesday, September 27, 2023

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ALTERNATE 1 (RECORDED PRESENTATION/LIVE CHAT)

7:00 AM ET Thursday, September 28, 2023

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ALTERNATE 2 (RECORDED PRESENTATION/LIVE CHAT)

1:00 PM ET Thursday, September 28, 2023

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