### Physics-inspired learning of differential equations from data.

- Series
- CDSNS Colloquium
- Time
- Friday, December 1, 2023 - 15:30 for 1 hour (actually 50 minutes)
- Location
- Skiles 249
- Speaker
- Matthew Golden – Georgia Tech – mgolden30@gatech.edu

Continuum theories of physics are traditionally described by local partial differential equations (PDEs). In this talk I will discuss the Sparse Physics-Informed Discovery of Empirical Relations (SPIDER) algorithm: a general algorithm combining the weak formulation, symmetry covariance, and sparse regression to discover quantitatively accurate and qualitatively simple PDEs directly from data. This method is applied to simulated 3D turbulence and experimental 2D active turbulence. A complete mathematical model is found in both cases.