CEENs: Causality-enforced evolutional networks for solving time-dependent partial differential equations
cs.LG, cs.NA, math.NA
Submitted: 2026-10-03
Updated: 2026-10-03
Sources
- Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks
- Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations
- Respecting causality is all you need for training physics-informed neural networks
- FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations
- Neural-PDE: A RNN based neural network for solving time dependent PDEs
- Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
- Physics-Informed Neural Operator for Learning Partial Differential Equations
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