14 datasets found

This library contains an add-on to FEniCSx enabling local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of adaptive...

dolfinx_eqlb is an open source library, extending FEniCSx by local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of...

dolfinx_eqlb is an open source library, extending FEniCSx by local flux equilibration strategies. The resulting H(div) conforming fluxes can be used for the construction of...

Simulation Results of a Finite Element Discbrake The finite element model describes an academic representation of a heated discbrake. It is implemented in the commercial...

This dataset contains the code and produced result files for the investigations presented in Suditsch et al. (DOI-LINK). In this work a biphasic model in the framework of the...

This dataset contains all necessary files and descriptions to extend the finite element passive THUMSv4 pedestrian human body model into a muscle-driven active human body model....

Ikarus is a C++-based library with Python bindings (link to documentation) built to solve partial differential equations with the finite element method. The dataset under this...

Crash Simulations of a Racing Kart Frame Model This dataset contains results for several crash simulations of the frame of a racing kart colliding against a rigid wall. The...

Ikarus is a C++-based library (link to documentation) built to solve partial differential equations with the finite element method. This release contains implementation of...

This dataset provides simulation results from a high-fidelity human upper-arm finite element model under varying muscle activations and an example script to load the data. The...

Python code to generate the meshes and FEM solutions to Section 5 of the paper Uncertainty visualization: Fundamentals and recent developments. Comments are in the code to...

This dataset contains a finite element implementation of a consistent geometrically non-linear Reissner-Mindlin shell using NURBS as basis functions. The implementation is done...

Perovskite-silicon tandem solar cells allow to overcome the power conversion efficiency limit of conventional silicon solar cells. So far, various textured tandem devices have...

Machine Learning (ML) can be conveniently applied to continuum materials simulations, allowing for the investigation of larger systems and longer timescales, pushing the limits...