activity
20042025
most citedThe Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

192 citations · 841 across the 24 of their papers we have counts for

collaborators

18 papers

astro-ph.SR2025★ 9 cited

Lorentz force mediation of turbulent dynamo transitions

Krista M. Soderlund, Paula Wulff, Petri Käpylä +1

We investigate how the strength of the Lorentz force alters stellar convection zone dynamics in a suite of buoyancy-dominated, three-dimensional, spherical shell convective dynamo…

astro-ph.IM2020★ 192 cited

The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained

A. Brandenburg, A. Johansen, P. A. Bourdin +34

The Pencil Code is a highly modular physics-oriented simulation code that can be adapted to a wide range of applications. It is primarily designed to solve partial differential equ…

physics.plasm-ph2019★ 1 cited

Electrodynamics of turbulent fluids with fluctuating electric conductivity

G. Rüdiger, M. Küker, P. J. Käpylä

The influence of fluctuating conductivity on the coefficients known from the mean-field electrodynamics is considered. If the conductivity fluctuations are assumed as uncorrelated…

astro-ph.SR2019★ 25 cited

Stellar dynamos in the transition regime: multiple dynamo modes and anti-solar differential rotation

M. Viviani, M. J. Käpylä, J. Warnecke +2

Global and semi-global convective dynamo simulations of solar-like stars are known to show a transition from an anti-solar (fast poles, slow equator) to solar-like (fast equator, s…

astro-ph.SR2018★ 29 cited

Sensitivity to luminosity, centrifugal force, and boundary conditions in spherical shell convection

Petri J. Käpylä, Frederick A. Gent, Nigul Olspert +2

We test the sensitivity of hydrodynamic and magnetohydrodynamic turbulent convection simulations with respect to Mach number, thermal and magnetic boundary conditions, and the cent…

physics.comp-ph2017★ 18 cited

Methods for compressible fluid simulation on GPUs using high-order finite differences

Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä +2

We focus on implementing and optimizing a sixth-order finite-difference solver for simulating compressible fluids on a GPU using third-order Runge-Kutta integration. Since graphics…