Mixed finite element methods for linear Cosserat equations
Mixed finite element methods for linear Cosserat equations
Recent Posts
Momentum preserving neural network solvers for elasticity
Neural network solvers for parametrized elasticity problems that conserve linear and angular momentum
Preconditioning Stokes-Darcy without fractional operators
Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
Auxiliary space preconditioners for Virtual Elements
Nodal auxiliary space preconditioners for mixed virtual element methods
Poincaré operators based on spanning trees
Solvers for mixed finite element problems using Poincaré operators based on spanning trees
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
Slip boundary conditions for H(curl)-based Stokes
H(curl)-based approximation of the Stokes problem with slip boundary conditions
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
Conservative neural networks for Darcy flow
Deep learning based reduced order modeling of Darcy flow systems with local mass conservation