Abstract

This talk explores how chemists can effectively collaborate with large language models (LLMs) to enhance chemistry education, accelerate research workflows, and improve everyday scientific problem-solving. This presentation will define intelligence as the ability to compress complex information into predictive representations. It will explain how neural networks—and modern LLMs—efficiently handle high-dimensional scientific information through conditional prediction, connecting principles from human learning, chemistry, biology, and information processing. Using practical classroom examples, research case studies, and real-world demonstrations, the presentation emphasizes AI as a collaborative partner rather than a replacement for human expertise. 

Location:  The February meeting will be held at Dave & Buster's in Blackwood, NJ.  It is conveniently located off both Route 55 and Route 42.  Directions via Google Maps can be accessed by clicking this link.

The event will cost $20 per person for adult members , and $5 per person for active students. A flatbread buffet dinner will be served at the event.

Please register before February 13, 2026 at 5PM: 

https://forms.gle/K7hniBVxMciX7FaP8

New Jersey Department of Education Professional Development Provider number = 2538

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The information on this page represents that of the South Jersey Section of the American Chemical Society and not necessarily that of Rowan University. Gregory Caputo takes full responsibility for the information presented.

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Department of Chemistry & Biochemistry, Rowan University, 201 Mullica Hill Rd., Glassboro, NJ 08028 Science Hall, 856-256-4505 This page maintained by Greg Caputo caputo@rowan.edu 856-256-5453
Last modified 9/01/2013