Scientific Machine Learning & PhysicsML Papers
Featured Papers
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
495 views
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
978 views
Temporal Neural Operator for Modeling Time-Dependent Physical Phenomena
Neural Operators (NOs) are machine learning models designed to solve partial differential equations (PDEs) by learning to map between function spaces....
Apr 28, 2025
2 authors
410 views
Filter Papers
Loading...