Numerical simulation of a sailing boat : free surface, fluid-structure interaction and shape optimization

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We investigate two hydraulic stimulation stages performed in April 2022 at the Utah FORGE enhanced geothermal system test site using analytical solutions and numerical modeling of fluid-induced tensile and shear rupture problems. These stimulation stages d ...

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Deep neural networks (DNNs) are receiving increasing attention in wind power forecasting due to their ability to effectively capture complex patterns in wind data. However, their forecast errors are severely limited by the local optimal weight issue in opt ...

Increasing the scanning speed in Atomic Force Microscopy (AFM) relies on improving the tracking performance in the vertical direction of motion. The lightly damped resonances of piezo-actuators utilized in AFM nano-positioning stages hinder the maximum ach ...

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IntroductionThe current assessment and standardization of microsurgical skills are subjective, posing challenges in reliable skill evaluation. We aim to address these limitations by developing a quantitative and objective framework for accurately assessing ...

Drifting and blowing snow are important features in polar and high mountain regions. They control the surface mass balance in windy conditions and influence sublimation of snow and ice surfaces. Despite their importance, model representations in weather an ...

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We present a numerical model for the approximation of multiphase flows with free surfaces and strong interfacial effects. The model relies on the multiphase incompressible Navier-Stokes equations, and includes surface tension effects on the interfaces betw ...

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The goal of this work is to use anisotropic adaptive finite elements for the numerical simulation of aluminium electrolysis. The anisotropic adaptive criteria are based on a posteriori error estimates derived for simplified problems. First, we consider an ...

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We present a finite elements-neural network approach for the numerical approximation of parametric partial differential equations. The algorithm generates training data from finite element simulations, and uses a data -driven (supervised) feedforward neura ...

Modern optimization is tasked with handling applications of increasingly large scale, chiefly due to the massive amounts of widely available data and the ever-growing reach of Machine Learning. Consequently, this area of research is under steady pressure t ...

We investigate the stability of the steady vertical path and the emerging trajectories of a buoyancy -driven annular disk as the diameter of its central hole is varied. The steady and axisymmetric wake associated with the steady vertical path of the disk, ...

Numerical simulation of a sailing boat : free surface, fluid-structure interaction and shape optimization

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The Utah FORGE 2022 hydraulic stimulations: tensile hydraulic fractures or/and fluid-induced dilatant shear ruptures?

Defining myocardial fiber bundle architecture in atrial digital twins

Improving the accuracy and interpretability of neural networks for wind power forecasting

Data-driven control in atomic force microscopy using a genetic algorithm

Convergence analysis of the discretization of continuous-domain inverse problems

Nonlinear simulation of plasma turbulence using a gyrokinetic moment-based approach

An objective skill assessment framework for microsurgical anastomosis based on ALI scores

Understanding snow saltation parameterizations: lessons from theory, experiments and numerical simulations

Modelling of energetic particle drive and damping effects on TAEs in AUG experiment with ECCD

A ride time-oriented scheduling algorithm for dial-a-ride problems

A cut-cell method for the numerical simulation of 3D multiphase flows with strong interfacial effects

Robot Learning using Tensor Networks

FENNECS: a novel particle-in-cell code for simulating the formation of magnetized non-neutral plasmas trapped by electrodes of complex geometries

Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Pseudo-Three-Dimensional Analytical Model of Linear Induction Motors for High-Speed Applications

Efficient and insightful descriptors for representing molecular and material space

Reliable data-driven decision-making through optimal transport

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Scalable constrained optimization

Instability and trajectories of buoyancy-driven annular disks: A numerical study