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
270 views
Mitigating Stop-and-Go Traffic Congestion with Operator Learning
This paper presents a novel neural operator learning framework for designing boundary control to mitigate stop-and-go congestion on freeways. The free...
Nov 7, 2024
3 authors
317 views
Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations
Population balance equation (PBE) models have potential to automate many engineering processes with far-reaching implications. In the pharmaceutical s...
Nov 1, 2024
5 authors
228 views
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