Short Course: Data Science for Physicists

ORAL

Abstract

8:00am - 9:00am: Introduction to Graph Neural Networks

9:00am - 9:30am: Coffee Break (provided by the short course)

9:30am - 10:30am: Introduction to Large Language Models and Retrieval Augmented Generation

10:30am - 11:30am: Physics Applications of Transformers and Large Language Models

11:30am - 12:30pm: Lunch Break (offsite, not provided by the short course)

12:30pm - 1:30pm: Application 1: Time Series Datasets in Physics

1:30pm - 2:30pm: Application 2: AI Agents for Higher Order Thinking in Literature Review

2:30pm - 3:00pm: Coffee Break (provided by the short course)

3:00pm - 4:00pm: APPLICATION TALK 3

4:00pm - 5:00pm:  APPLICATION TALK 4

5:00pm - 5:15pm: Conclusion and Final Announcements

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Presenters

  • Julie L Butler

    • University of Mount Union

Authors

  • Julie L Butler

    • University of Mount Union

  • Trevor David Rhone

    • Rensselaer Polytechnic Institute

  • William Ratcliff

    • National Institute of Standards and Technology (NIST)
    • University of Maryland; National Institute of Standards and Technology (NIST)

  • Cristiano Fanelli

    • William & Mary

  • John McNally

    • Wolfram Research, Inc.