Momentum preserving neural network solvers for elasticity
Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum
Recent Posts
Mixed finite element methods for linear Cosserat equations
Mixed finite element methods for linear Cosserat equations
Auxiliary space preconditioners for Virtual Elements
Nodal auxiliary space preconditioners for mixed virtual element methods
PyGeoN v0.5
In this new release of PyGeoN, we have implemented mixed finite element discretizations for Cosserat elasticity.
MFEM and TPSA Finite Volume Methods for Linearized Elasticity and Cosserat Materials
Mixed Finite Element and TPSA Finite Volume Methods for Linearized Elasticity and Cosserat Materials
PyGeoN v0.4
This release of PyGeoN features the Arnold-Falk-Winther element for mixed formulations of elasticity with a corresponding spanning tree solver.
Senior Researcher at NORCE
Today, I start as a senior researcher at NORCE Norwegian Research Centre in Bergen. I will join the Computational Geosciences and Modelling research group an...
A mortar method for Stokes-Darcy problems
A mortar method for the coupled Stokes-Darcy problem using the MAC scheme for Stokes and mixed finite elements for Darcy
Multipoint MFEM for Biot poroelasticity
Mixed and multipoint finite element methods for rotation-based poroelasticity
Presentation at ICIAM
Together with Martin Hornkjøl, Miroslav Kuchta, and Ricardo Ruiz-Baier, we organized the minisymposium Robust formulations for coupled multiphysics problems ...
Elasticity with point sources
Analysis of Linearized Elasticity Models with Point Sources in Weighted Sobolev Spaces: Applications in Tissue Contraction
SIAM GS 23
Excited to be part of the Scientific Organizing Committee of the SIAM Conference on Mathematical & Computational Issues in the Geosciences.