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eess.IV2024
BubbleID: A Deep Learning Framework for Bubble Interface Dynamics Analysis
Christy Dunlap, Changgen Li, Hari Pandey +2
This paper presents BubbleID, a sophisticated deep learning architecture designed to comprehensively identify both static and dynamic attributes of bubbles within sequences of boil…
cs.LG2024
A Physics-driven GraphSAGE Method for Physical Process Simulations Described by Partial Differential Equations
Hang Hu, Sidi Wu, Guoxiong Cai +1
Physics-informed neural networks (PINNs) have successfully addressed various computational physics problems based on partial differential equations (PDEs). However, while tackling…