Scientific Machine Learning & PhysicsML Papers
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LESnets (Large-Eddy Simulation nets): Physics-informed neural operator for large-eddy simulation of turbulence
Acquisition of large datasets for three-dimensional (3D) partial differential equations (PDE) is usually very expensive. Physics-informed neural opera...
Nov 7, 2024
6 authors
399 views
A Mathematical Analysis of Neural Operator Behaviors
Neural operators have emerged as transformative tools for learning mappings between infinite-dimensional function spaces, offering useful applications...
Oct 28, 2024
2 authors
221 views
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Generating realistic group interactions involving multiple characters remains challenging due to increasing complexity as group size expands. While ex...
Jul 25, 2025
5 authors
35 views
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