A physics-guided hierarchical deep network (PhyRes-LSTM) framework, which integrates external knowledge with deep neural networks to guide the training process.
-
Updated
Sep 4, 2024 - Jupyter Notebook
#
physics-guided-machine-learning
Here are 3 public repositories matching this topic...
Physics-Guided Machine Learning for Sustainable Heap Leaching Control (MSc thesis)
machine-learning pytorch richards-equation model-predictive-control pinn nmpc surrogate-models pgml physics-guided-machine-learning heap-leaching scientific-machine-learning-chemical-engineering
-
Updated
Sep 16, 2026 - Python
Reproducible FY-4B/GIIRS ozone retrieval with Dwell context, Pandora calibration, and bounded physics
-
Updated
Aug 31, 2026 - Python
Add this topic to your repo
To associate your repository with the physics-guided-machine-learning topic, visit your repo's landing page and select "manage topics."