phygnn GitHub Repository
URL: https://github.com/NREL/phygnn
Link to physics-guided neural networks (phygnn) GitHub repo that is used by GOOML to aid with machine learning. This implementation of physics-guided neural networks augments a traditional neural network loss function with a generic loss term that can be used to guide the neural network to learn physical or theoretical constraints. phygnn enables scientific software developers and data scientists to easily integrate machine learning models into physics and engineering applications. This framework should help alleviate some challenges that are often encountered when applying purely data-driven machine learning models to scientific applications, such as when machine learning models produce physically inconsistent results or have trouble generalizing to out-of-sample scenarios.
Additional Information
| Field | Value |
|---|---|
| Data last updated | August 10, 2021 |
| Metadata last updated | November 19, 2025 |
| Created | August 10, 2021 |
| Format | HTML |
| License | Creative Commons Attribution |
| Datastore active | False |
| Has views | True |
| Id | 08f59a99-dcc2-419c-8c91-e337bf8398a6 |
| Mimetype | text/html |
| Package id | 0a618c23-3739-4910-bac5-b0f5f8fbd8bf |
| Position | 0 |
| State | active |