/ThermalFinSurrogate

Practice space for solving linear and nonlinear Bayesian inverse problems using neural networks

Primary LanguagePythonApache License 2.0Apache-2.0

ThermalFinSurrogate

Practice space for solving linear and nonlinear Bayesian inverse problems using neural networks

A place to store models and experiments to learn errors of reduced order models applied to nonlinear differential equations using machine learning algorithms.

Currently, thermal_fin directory contains a surrogate model approach to solve the heat distribution on a thermal fin.