Undergraduate Physics Seminar: "Leveraging Scientific Machine Learning for Enhanced Simulations", Shreyas Jammi
- Event Type
- Seminar/Symposium
- Sponsor
- Department of Physics
- Location
- Loomis 464
- Virtual
- Join online
- Date
- Mar 28, 2024 5:00 pm 6:00 PM
- Speaker
- Shreyas Jammi
- Contact
- Tushar Mohan
- tusharm4@illinois.edu
- Phone
- 848-702-1630
- Views
- 130
- 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.