FEniCS-in-the-Wild

FEniCS-in-the-Wild

Duration
2024-2026

The FEniCS-in-the-Wild project targets next-generation simulation and learning in imaging-based biomedicine. It unites the FEniCS finite element software team from Simula Research Laboratory, Norway, with the wildmeshing computational geometry team from the Courant Institute, New York University, USA.

The goal is to create an efficient pipeline for imaging-based multiphysics simulations, incorporating advanced methods like uncertainty quantification, data assimilation, and physics-based machine learning. The technology will be applied to biomedical use cases within clinical neurology, cellular mechanobiology, and orthopedic surgery.

Key objectives include:

  1. Make it easier for users to work with FEniCS and wildmeshing through better documentation and tutorials.
  2. Developing a 3D Slicer plugin for creating digital twins of biomedical systems.
  3. Extending wildmeshing for multi-material meshing and adding co-dimensional objects like tendons and cartilage from medical images.
  4. Improve FEniCS’s ability to handle complex biomedical simulations, like interactions between tissues and blood vessels.

The project will address current limitations in FEniCS and wildmeshing integration, focusing on improving usability and simulation capabilities for biomedical applications.

The FEniCS Project: https://www.linkedin.com/company/fenics-project/

Wildmeshing: https://wildmeshing.github.io/

Project partners

Funding source

Funding for this project comes from The Wellcome Trust under the Essential Open Source Software for Science (EOSS) program. This program supports software maintenance, growth, development, and community engagement for open source tools critical to science.