118 citations · 199 across the 9 of their papers we have counts for
9 papers
Adaptive time integration of mechanical forces in center-based models for biological cell populations
Per Lötstedt, Sonja Mathias
Center-based models are used to simulate the mechanical behavior of biological cells during embryonic development or cancer growth. To allow for the simulation of biological popula…
A full Stokes subgrid model for simulation of grounding line migration in ice sheets
Gong Cheng, Per Lötstedt, Lina von Sydow
The full Stokes equations are solved by a finite element method for simulation of large ice sheets and glaciers. The simulation is particularly sensitive to the discretization of t…
Parameter sensitivity analysis of dynamic ice sheet models-Numerical computations
Gong Cheng, Per Lötstedt
The friction coefficient and the base topography of a stationary and a dynamic ice sheet are perturbed in two models for the ice: the full Stokes equations and the shallow shelf ap…
Robustness analysis of spatiotemporal models in the presence of extrinsic fluctuations
Andreas Hellander, Jan Klosa, Per Lötstedt +1
We analyze the governing partial differential equations of a model of pole-to-pole oscillations of the MinD protein in a bacterial cell. The sensitivity to extrinsic noise in the p…
Accurate and stable time stepping in ice sheet modeling
Gong Cheng, Per Lötstedt, Lina von Sydow
In this paper we introduce adaptive time step control for simulation of evolution of ice sheets. The discretization error in the approximations is estimated using "Milne's device"…
Dynamically coupling the non-linear Stokes equations with the Shallow Ice Approximation in glaciology: Description and first applications of the ISCAL method
Josefin Ahlkrona, Per Lötstedt, Nina Kirchner +1
We propose and implement a new method, called the Ice Sheet Coupled Approximation Levels (ISCAL) method, for simulation of ice sheet flow in large domains under long time-intervals…
Mesoscopic modeling of stochastic reaction-diffusion kinetics in the subdiffusive regime
Emilie Blanc, Stefan Engblom, Andreas Hellander +1
Subdiffusion has been proposed as an explanation of various kinetic phenomena inside living cells. In order to fascilitate large-scale computational studies of subdiffusive chemica…
Analysis and design of jump coefficients in discrete stochastic diffusion models
Lina Meinecke, Stefan Engblom, Andreas Hellander +1
In computational system biology, the mesoscopic model of reaction-diffusion kinetics is described by a continuous time, discrete space Markov process. To simulate diffusion stochas…
Simulation of stochastic reaction-diffusion processes on unstructured meshes
Stefan Engblom, Lars Ferm, Andreas Hellander +1
Stochastic chemical systems with diffusion are modeled with a reaction-diffusion master equation. On a macroscopic level, the governing equation is a reaction-diffusion equation fo…