activity
20182021
most citedPhysics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling

1 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

1 paper · 1 filter

physics.comp-ph2018

Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

Xiaowei Jia, Jared Willard, Anuj Karpatne +4

This paper proposes a physics-guided recurrent neural network model (PGRNN) that combines RNNs and physics-based models to leverage their complementary strengths and improve the mo…