Search Results for author:
Found 2 papers, 1 papers with code
Regression-based projection for learning Mori-Zwanzig operators
We propose to adopt statistical regression as the projection operator to enable data-driven learning of the operators in the Mori--Zwanzig formalism.
Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
Within this hierarchy, two new parameterized smoothing kernels are developed in order to increase the flexibility of the learn-able SPH simulators.
BIG-bench Machine Learning
Physics-informed machine learning
