Non-intrusive reduced-order modeling for fluid problems: A brief review

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A unified numerical framework is presented for the modelling of multiphasic viscoelastic and elastic flows. The rheologies considered range from incompressible Newtonian or Oldroyd-B viscoelastic fluids to Neo-Hookean elastic solids. The model is formulate ...

End-to-end learning methods like deep neural networks have been the driving force in the remarkable progress of machine learning in recent years. However, despite their success, the deployment process of such networks in safety-critical use cases, such as ...

Computational fluid dynamics (CFD) is an important tool for the simulation of the cardiovascular function and dysfunction. Due to the complexity of the anatomy, the transitional regime of blood flow in the heart, and the strong mutual influence between the ...

A central question of machine learning is how deep nets manage to learn tasks in high dimensions. An appealing hypothesis is that they achieve this feat by building a representation of the data where information irrelevant to the task is lost. For image da ...

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Speech recognition-based applications upon the advancements in artificial intelligence play an essential role to transform most aspects of modern life. However, speech recognition in real-life conditions (e.g., in the presence of overlapping speech, varyin ...

Nowadays, Liquid Composite Molding techniques are often used to manufacture high quality fiber reinforced composite parts at a relatively low cost. These involve an infiltration process, in which a liquid resin is forced to ingress into a dry fibrous porou ...

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Mesh manipulation is central to computational fluid dynamics. However, creating appropriate computational meshes often involves substantial manual intervention that has to be repeated each time the target shape changes. To address this problem, we propose ...

The effects of apparatus-induced dispersion on nonuniform, density-dependent flow in a cylindrical soil column were investigated using a finite-element model. To validate the model, the results with an analytical solution and laboratory column test data we ...

We propose a methodology to monitor the progressive saturation of a non-translucent unidirectional carbon fabric stack through its thickness by means of X-ray radiography and extract the dynamic saturation curves using image analysis. Four constant flow ra ...

Induced seismicity caused by anthropogenic modification of the subsurface effective stress state has been observed in a number of industrial applications -- from hydrocarbon extraction (e.g., Groningen [1]), drilling waste-water disposal (e.g., [2]) to the ...

Fluctuation dynamos occur in most turbulent plasmas in astrophysics and are the prime candidates for amplifying and maintaining cosmic magnetic fields. A few analytical models exist to describe their behavior, but they are based on simplifying assumptions. ...

Non-intrusive reduced-order modeling for fluid problems: A brief review

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Numerical simulation of immiscible incompressible viscous, viscoelastic and elastic multiphase flows

Estimating and Improving the Robustness of Attributions in Text

lifex-cfd: An open-source computational fluid dynamics solver for cardiovascular applications

How deep convolutional neural networks lose spatial information with training

A comprehensive review of digital twin-part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives

Sparse Autoencoders for Speech Modeling and Recognition

Visualization and modelling of dynamic flow in fibrous preforms for liquid composite molding

Maximum Radiation Efficiency of an Implantable Antenna: The Role of High-Order Modes

Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics

Numerical analysis of apparatus-induced dispersion for density-dependent solute transport in porous media

Measurement and modelling of dynamic fluid saturation in carbon reinforcements

A fully-coupled highly-parallelized geomechanical simulator for assessing induced seismicity

Small-scale dynamo with finite correlation times