The following pages link to Paolo Zunino (Q233031):
Displaying 22 items.
- Dimensional model reduction for flow through fractures in poroelastic media (Q5367329) (← links)
- ANALYSIS OF PARABOLIC PROBLEMS ON PARTITIONED DOMAINS WITH NONLINEAR CONDITIONS AT THE INTERFACE: APPLICATION TO MASS TRANSFER THROUGH SEMI-PERMEABLE MEMBRANES (Q5484740) (← links)
- A Numerical Study of the Interaction of Blood Flow and Drug Release from Cardiovascular Stents (Q5503076) (← links)
- An Adaptive Discontinuous Galerkin Scheme for Second Order Problems with an Interface (Q5503115) (← links)
- A Domain Decomposition Method Based on Weighted Interior Penalties for Advection‐Diffusion‐Reaction Problems (Q5757405) (← links)
- Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers (Q5855632) (← links)
- An anisotropic a posteriori error estimate for a convection-diffusion problem (Q5957103) (← links)
- Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression (Q6048987) (← links)
- Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains (Q6068353) (← links)
- Mesh-informed neural networks for operator learning in finite element spaces (Q6077303) (← links)
- Explicit partitioning strategies for the interaction between a fluid and a multilayered poroelastic structure: an operator-splitting approach (Q6244232) (← links)
- Iterative splitting schemes for a soft material poromechanics model (Q6354644) (← links)
- Approximation bounds for convolutional neural networks in operator learning (Q6403941) (← links)
- Deep learning based reduced order modeling of Darcy flow systems with local mass conservation (Q6460638) (← links)
- Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy (Q6521618) (← links)
- Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media (Q6524853) (← links)
- Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction (Q6532568) (← links)
- On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields (Q6624464) (← links)
- A mixed-dimensional formulation for the simulation of slender structures immersed in an incompressible flow (Q6641858) (← links)
- Application of deep learning reduced-order modeling for single-phase flow in faulted porous media (Q6662482) (← links)
- Mathematical and numerical analysis of reduced order interface conditions and augmented finite elements for mixed dimensional problems (Q6663396) (← links)
- Dataset related to the article "Prediction of myocardial blood flow under stress conditions by means of a computational model" (Q6704671) (← links)
