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Undergraduate Physics Seminar: "Leveraging Scientific Machine Learning for Enhanced Simulations", Shreyas Jammi

Event Type
Seminar/Symposium
Sponsor
Department of Physics
Location
Loomis 464
Virtual
wifi event
Date
Mar 28, 2024   5:00 pm   6:00 PM
Speaker
Shreyas Jammi
Contact
Tushar Mohan
E-Mail
tusharm4@illinois.edu
Phone
848-702-1630
Views
57
Originating Calendar
Physics - Undergraduate Student Events

This presentation delves into the application of scientific machine learning (SciML) to meet the increasing computational demands associated with computational physics. As simulations become increasingly complex, there is a pressing need for high-performant and fast code to efficiently handle computational workflows. Through an in-depth examination of SciML techniques, we will discuss how the utility of scientific machine learning can lead to a significant improvement in the speed and accuracy of simulations. Additionally, this presentation will address the potential challenges associated with implementing scientific machine learning in computational physics workflows. From data availability, model interpretability, to uncertainty quantification, we will explore the potential challenges associated with SciML simulations and practical strategies to overcome them.

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