Pages that link to "Item:Q2674271"
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The following pages link to The deep learning Galerkin method for the general Stokes equations (Q2674271):
Displaying 17 items.
- Discretizationnet: a machine-learning based solver for Navier-Stokes equations using finite volume discretization (Q2021855) (← links)
- Efficient coupled deep neural networks for the time-dependent coupled Stokes-Darcy problems (Q2096255) (← links)
- CPINNs: a coupled physics-informed neural networks for the closed-loop geothermal system (Q2682678) (← links)
- (Q5019878) (← links)
- Physics-Driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks (Q5042008) (← links)
- Multi-Scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains (Q5162374) (← links)
- Numerical Solution of the Incompressible Navier-Stokes Equation by a Deep Branching Algorithm (Q6049610) (← links)
- Deep neural network solution for finite state mean field game with error estimation (Q6078100) (← links)
- The robust physics-informed neural networks for a typical fourth-order phase field model (Q6103706) (← links)
- DNN-HDG: a deep learning hybridized discontinuous Galerkin method for solving some elliptic problems (Q6158712) (← links)
- The Deep Learning Galerkin Method for the General Stokes Equations (Q6349788) (← links)
- PDNNs: the parallel deep neural networks for the Navier-Stokes equations coupled with heat equation (Q6537439) (← links)
- The coupled physical-informed neural networks for the two phase magnetohydrodynamic flows (Q6549888) (← links)
- Optimally convergent mixed finite element methods for the time-dependent 2D/3D stochastic closed-loop geothermal system with multiplicative noise (Q6561368) (← links)
- Phase field smoothing-PINN: a neural network solver for partial differential equations with discontinuous coefficients (Q6590262) (← 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)
- A deep learning method for incompressible fluid equations and the coupling problems (Q6665361) (← links)