This repository includes the work done within the course TRA105 - GPU-accelerated Computational Methods using Python and CUDA, held at Chalmers University. The main contributions are given by Stefano ...
Electrochemiluminescence (ECL) is a vital analytical technique widely used in immunosensing and emerging applications in biological imaging. Traditional ECL simulations rely on finite element methods, ...
Abstract: In this paper, Python programming is employed to study the electromagnetic finite element method (FEM) and Bayesian deep learning. Rectangular cavity and folded waveguide (FWG) slow-wave ...
The aim of this study was to optimize the geometry and the design of metallic/composite single bolted joints subjected to tension-compression loading. For this purpose, it was necessary to evaluate ...
This courseware on Finite Element Methods addresses standard and advanced Finite Element formulations for shear-deformable lightweight structures of the Timoshenko beam and Reissner-Mindlin plate ...
Finite element analysis (FEA) is a computational method providing numerical solutions and mathematical modeling of complex physical phenomena that evolve during compression tableting of pharmaceutical ...
1 Laboratory of Mechanics and Modeling-UFR Engineering Sciences, University of Thies, Thies, Senegal. 2 Faculty of Science and Engineering, CNRS, Jean-le-Rond d’Alembert Institute, Sorbonne University ...
This study presents a semi-automatic framework to create subject-specific total knee replacement finite element models, which can be used to analyze locomotion patterns and evaluate knee dynamics. In ...
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