53 citations · 134 across the 11 of their papers we have counts for
6 papers · 1 filter
An adapted deflated conjugate gradient solver for robust extended/generalised finite element solutions of large scale, 3D crack propagation problems
Konstantinos Agathos, Tim Dodwell, Eleni Chatzi +1
An adapted deflation preconditioner is employed to accelerate the solution of linear systems resulting from the discretization of fracture mechanics problems with well-conditioned…
Probabilistic Deep Learning for Real-Time Large Deformation Simulations
Saurabh Deshpande, Jakub Lengiewicz, Stéphane P. A. Bordas
For many novel applications, such as patient-specific computer-aided surgery, conventional solution techniques of the underlying nonlinear problems are usually computationally too…
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…
A rigged model of the breast for preoperative surgical planning
Arnaud Mazier, Sophie Ribes, Benjamin Gilles +2
In breast surgical practice, drawing is part of the preoperative planning procedure and is essential for a successful operation. In this study, we design a pipeline to assist surge…
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…
Hierarchical a posteriori error estimation of Bank-Weiser type in the FEniCS Project
Raphaël Bulle, Jack S. Hale, Alexei Lozinski +2
In the seminal paper of Bank and Weiser [Math. Comp., 44 (1985), pp.283-301] a new a posteriori estimator was introduced. This estimator requires the solution of a local Neumann pr…