Giovanni Stabile
Orcid: 0000-0003-3434-8446
According to our database1,
Giovanni Stabile
authored at least 41 papers
between 2018 and 2024.
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Bibliography
2024
Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics.
Adv. Model. Simul. Eng. Sci., December, 2024
Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods.
CoRR, 2024
A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface.
CoRR, 2024
2023
A two-stage deep learning architecture for model reduction of parametric time-dependent problems.
Comput. Math. Appl., November, 2023
Appl. Math. Comput., July, 2023
J. Comput. Phys., March, 2023
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method.
J. Sci. Comput., February, 2023
Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System.
CoRR, 2023
Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades.
CoRR, 2023
Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets.
CoRR, 2023
Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions.
CoRR, 2023
Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations.
CoRR, 2023
A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach.
CoRR, 2023
A novel reduced-order model for advection-dominated problems based on Radon-Cumulative-Distribution Transform.
CoRR, 2023
Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review.
CoRR, 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems.
CoRR, 2023
2022
Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine.
CoRR, 2022
CoRR, 2022
Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds.
CoRR, 2022
A segregated reduced order model of a pressure-based solver for turbulent compressible flows.
CoRR, 2022
Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method.
CoRR, 2022
Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method.
CoRR, 2022
2021
An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction.
CoRR, 2021
The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations.
CoRR, 2021
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters.
CoRR, 2021
A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation.
CoRR, 2021
2020
J. Comput. Phys., 2020
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis.
CoRR, 2020
POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver.
Comput. Math. Appl., 2020
Enhancing CFD predictions in shape design problems by model and parameter space reduction.
Adv. Model. Simul. Eng. Sci., 2020
2019
Extension and comparison of techniques to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamic problems.
CoRR, 2019
Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations.
CoRR, 2019
Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics Computers and Fluids.
CoRR, 2019
A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations.
CoRR, 2019
CoRR, 2019
Adv. Comput. Math., 2019
2018
A novel reduced order model for vortex induced vibrations of long flexible cylinders.
CoRR, 2018