36 citations · 41 across the 4 of their papers we have counts for
5 papers
Smart cloud collocation: geometry-aware adaptivity directly from CAD
Thibault Jacquemin, Pratik Suchde, Stéphane P. A. Bordas
Computer Aided Design (CAD) is widely used in the creation and optimization of various industrial systems and processes. Transforming a CAD geometry into a computational discretiza…
Machine learning in the social and health sciences
Anja K. Leist, Matthias Klee, Jung Hyun Kim +4
The uptake of machine learning (ML) approaches in the social and health sciences has been rather slow, and research using ML for social and health research questions remains fragme…
Inverse deformation analysis: an experimental and numerical assessment using the FEniCS Project
Arnaud Mazier, Alexandre Bilger, Antonio E. Forte +25
In this paper, we develop a framework for solving inverse deformation problems using the FEniCS Project finite element software. We validate our approach with experimental imaging…
Taylor-series expansion based numerical methods: a primer, performance benchmarking and new approaches for problems with non-smooth solutions
Thibault Jacquemin, Satyendra Tomar, Konstantinos Agathos +2
We provide a primer to numerical methods based on Taylor series expansions such as generalized finite difference methods and collocation methods. We provide a detailed benchmarking…
Quantifying discretization errors for soft-tissue simulation in computer assisted surgery: a preliminary study
Michel Duprez, Stéphane P. A. Bordas, Marek Bucki +7
Errors in biomechanics simulations arise from modeling and discretization. Modeling errors are due to the choice of the mathematical model whilst discretization errors measure the…