Pavilion Presentation
SC-15: Introduction to Scientific Machine Learning for Geophysicists
Monday, 25 August | 8:00 a.m.–5:00 p.m. | George R. Brown Convention Center, Room 352B
This one-day course will cover theoretical concepts associated with physics-informed neural networks and neural operators. Subsequently, these methods will be used to solve geophysical forward and inverse problems, followed by emerging research trends related to the topic.
The following topics will be covered during this short course:
• Introduction to PINNs
• PINNs for solving forward and inverse problems in Geophysics
• Introduction to Neural Operators
• Solution of forward and inverse problems using neural operators
• Physics-informed Neural Operators
• Emerging trends in Scientific Machine Learning
Presenter
Umair bin Waheed,
King Fahd University of Petroleum and Minerals
Fee:
$850 Professional Member
$1,000 Professional Nonmember
$150 Student
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