Pages that link to "Item:Q2060079"

The following pages link to POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition (Q2060079):

Displaying 9 items.

• PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs (Q6643563) (← links)
• Approximation bounds for model reduction on polynomially mapped manifolds (Q6658207) (← links)
• Variational three-field reduced order modeling for nearly incompressible materials (Q6661930) (← links)
• Application of deep learning reduced-order modeling for single-phase flow in faulted porous media (Q6662482) (← links)
• Convolutional autoencoders, clustering, and POD for low-dimensional parametrization of flow equations (Q6663360) (← links)
• An implicit GNN solver for Poisson-like problems (Q6663428) (← links)
• Non-intrusive parametric hyper-reduction for nonlinear structural finite element formulations (Q6669042) (← links)
• Registration-based nonlinear model reduction of parametrized aerodynamics problems with applications to transonic Euler and RANS flows (Q6669108) (← links)
• Polytopic autoencoders with smooth clustering for reduced-order modeling of flows (Q6670702) (← links)