Pages that link to "Item:Q2123370"
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The following pages link to Data-driven deep learning of partial differential equations in modal space (Q2123370):
Displaying 7 items.
- Cell-average based neural network method for Hunter-Saxton equations (Q6578103) (← links)
- Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
- tLaSDI: thermodynamics-informed latent space dynamics identification (Q6588297) (← links)
- f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain (Q6614990) (← links)
- How much can one learn a partial differential equation from its solution? (Q6645956) (← links)
- Predictive modeling through physics-informed neural networks for analyzing the thermal distribution in the partially wetted wavy fin (Q6650851) (← links)
- Adaptive deep density approximation for stochastic dynamical systems (Q6671865) (← links)