Explore the intersection of fluid mechanics and machine learning in this conference talk that delves into the application of E3 Equivariant Graph Neural Networks for learning Lagrangian fluid mechanics. Discover how these advanced neural network architectures can be leveraged to model complex fluid dynamics, potentially revolutionizing computational fluid dynamics and enhancing our understanding of fluid behavior. Gain insights into the latest developments in this cutting-edge field, where physics-informed machine learning meets traditional fluid mechanics principles.
Learning Lagrangian Fluid Mechanics with E3 Equivariant Graph Neural Networks
Overview
Syllabus
Learning Lagrangian Fluid Mechanics with E3 Equivariant Graph Neural Networks
Taught by
Conference GSI
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