The following pages link to PhyCNN (Q1334393):
Displaying 7 items.
- PhyCRNet: physics-informed convolutional-recurrent network for solving spatiotemporal PDEs (Q2072500) (← links)
- Physics-informed graph neural Galerkin networks: a unified framework for solving PDE-governed forward and inverse problems (Q2072742) (← links)
- PhyGeoNet: physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain (Q2128357) (← links)
- Learning time-dependent PDEs with a linear and nonlinear separate convolutional neural network (Q2135244) (← links)
- A physically constrained variational autoencoder for geochemical pattern recognition (Q2676496) (← links)
- Local parameter identification with neural ordinary differential equations (Q2690025) (← links)
- Seismic Response Prediction of Open- and Closed-Loop Structural Control Systems Using a Multi-State-Dependent Parameter Estimation Approach (Q5084364) (← links)
