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https://doi.org/10.2139/ssrn.4654307

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inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-540-85268-1openalex-extracted
Numerical Approximation of Partial Differential Equations
inferredcites →https://doi.org/10.1007/bf01385651openalex-extracted
On the finite volume element method
inferredcites →https://doi.org/10.1016/0010-4485(94)90088-4openalex-extracted
Modelling requirements for finite-element analysis
inferredcites →https://doi.org/10.1016/0021-9991(89)90151-4openalex-extracted
A second-order projection method for the incompressible navier-stokes equations
inferredcites →https://doi.org/10.1016/j.camwa.2020.06.009openalex-extracted
MFEM: A modular finite element methods library
inferredcites →https://doi.org/10.1016/j.camwa.2022.06.017openalex-extracted
Theoretical analysis of the generalized finite difference method
inferredcites →https://doi.org/10.1016/j.chaos.2022.112787openalex-extracted
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator
inferredcites →https://doi.org/10.1016/j.cma.2020.113575openalex-extracted
Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
inferredcites →https://doi.org/10.1016/j.cma.2021.113722openalex-extracted
DiscretizationNet: A machine-learning based solver for Navier–Stokes equations using finite volume discretization
inferredcites →https://doi.org/10.1016/j.icheatmasstransfer.2022.106244openalex-extracted
Statistical analysis of viscous hybridized nanofluid flowing via Galerkin finite element technique
inferredcites →https://doi.org/10.1017/cbo9781139839099openalex-extracted
Foundations of Signal Processing
inferredcites →https://doi.org/10.1038/s42256-021-00302-5openalex-extracted
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
inferredcites →https://doi.org/10.1039/d2ee04204eopenalex-extracted
Real-time high-resolution CO 2 geological storage prediction using nested Fourier neural operators
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1137/s0036144503432862openalex-extracted
Propagation, Observation, and Control of Waves Approximated by Finite Difference Methods
inferredcites →https://doi.org/10.1142/s0218202521500068openalex-extracted
Statistical solutions of the incompressible Euler equations
inferredcites →https://doi.org/10.2514/1.j054943openalex-extracted
Geometric Comparison of Aerofoil Shape Parameterization Methods
inferredcites →https://doi.org/10.3934/mine.2018.1.118openalex-extracted
A machine learning framework for data driven acceleration of computations of di erential equations
inferredcites →https://doi.org/10.48550/arxiv.2006.09535openalex-extracted
Multipole Graph Neural Operator for Parametric Partial Differential Equations
inferredcites →https://doi.org/10.48550/arxiv.2010.08895openalex-extracted
Fourier Neural Operator for Parametric Partial Differential Equations
inferredcites →https://doi.org/10.48550/arxiv.2105.14995openalex-extracted
Choose a Transformer: Fourier or Galerkin
inferredcites →https://doi.org/10.48550/arxiv.2107.07562openalex-extracted
On universal approximation and error bounds for Fourier Neural Operators
inferredcites →https://doi.org/10.48550/arxiv.2201.01032openalex-extracted
Learning Operators with Coupled Attention
inferredcites →https://doi.org/10.48550/arxiv.2205.11404openalex-extracted
Variable-Input Deep Operator Networks
inferredcites →https://doi.org/10.48550/arxiv.2205.13671openalex-extracted
Transformer for Partial Differential Equations' Operator Learning
inferredcites →https://doi.org/10.48550/arxiv.2206.03551openalex-extracted
inferredcites →https://doi.org/10.5802/smai-jcm.74openalex-extracted
Model Reduction And Neural Networks For Parametric PDEs
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