Pages that link to "Item:Q2020276"
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The following pages link to PPINN: parareal physics-informed neural network for time-dependent PDEs (Q2020276):
Displaying 18 items.
- High-order space-time parallel computing of the Navier-Stokes equations (Q6494040) (← links)
- PDNNs: the parallel deep neural networks for the Navier-Stokes equations coupled with heat equation (Q6537439) (← links)
- CEENs: causality-enforced evolutional networks for solving time-dependent partial differential equations (Q6557798) (← links)
- An introduction to programming physics-informed neural network-based computational solid mechanics (Q6564385) (← links)
- Physics-informed neural networks and functional interpolation for stiff chemical kinetics (Q6565148) (← links)
- Bright-dark rogue wave transition in coupled ab system via the physics-informed neural networks method (Q6574264) (← links)
- Ml-GLE: a machine learning enhanced generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics (Q6589873) (← links)
- Advanced physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation (Q6590978) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
- Multistep asymptotic pre-training strategy based on PINNs for solving steep boundary singular perturbation problems (Q6609750) (← links)
- A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks (Q6609808) (← links)
- f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain (Q6614990) (← links)
- SMS: spiking marching scheme for efficient long time integration of differential equations (Q6615017) (← links)
- Higher-order multi-scale physics-informed neural network (HOMS-PINN) method and its convergence analysis for solving elastic problems of authentic composite materials (Q6633295) (← links)
- AsPINN: Adaptive symmetry-recomposition physics-informed neural networks (Q6643565) (← links)
- An immersed interface neural network for elliptic interface problems (Q6664871) (← links)
- A deep learning method for incompressible fluid equations and the coupling problems (Q6665361) (← links)
- Adaptive deep density approximation for stochastic dynamical systems (Q6671865) (← links)
