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

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arxiv 2009.08231 v1 pith:DOEMMQFH submitted 2020-09-17 astro-ph.IM astro-ph.COastro-ph.SRphysics.flu-dyn

A. Brandenburg , A. Johansen , P. A. Bourdin , W. Dobler , W. Lyra , M. Rheinhardt , S. Bingert , N. E. L. Haugen
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A. Mee F. Gent N. Babkovskaia C.-C. Yang T. Heinemann B. Dintrans D. Mitra S. Candelaresi J. Warnecke P. J. Käpylä A. Schreiber P. Chatterjee M. J. Käpylä X.-Y. Li J. Krüger J. R. Aarnes G. R. Sarson J. S. Oishi J. Schober R. Plasson C. Sandin E. Karchniwy L. F. S. Rodrigues A. Hubbard G. Guerrero A. Snodin I. R. Losada J. Pekkilä C. Qian (The Pencil Code Collaboration)
This is my paper · ORCID
classification astro-ph.IMastro-ph.COastro-ph.SRphysics.flu-dyn
keywords codeapplicationsdifferentialequationshydrodynamicsmodularpartialparticles
verification ladder T0 review T1 audit T2 compute T3 formal
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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 equations (PDEs) of compressible hydrodynamics and has lots of add-ons ranging from astrophysical magnetohydrodynamics (MHD) to meteorological cloud microphysics and engineering applications in combustion. Nevertheless, the framework is general and can also be applied to situations not related to hydrodynamics or even PDEs, for example when just the message passing interface or input/output strategies of the code are to be used. The code can also evolve Lagrangian (inertial and noninertial) particles, their coagulation and condensation, as well as their interaction with the fluid.

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Cited by 4 Pith papers

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    astro-ph.SR 2026-02 conditional novelty 6.0 of 10

    A self-consistent alpha^2 dynamo in 3D simulation strengthens, shifts, and broadens the solar f-mode once magnetic fields reach equipartition.

  3. Scalable Discovery of Fundamental Physical Laws: Learning Magnetohydrodynamics from 3D Turbulence Data

    physics.comp-ph 2025-01 conditional novelty 6.0 of 10

    A scalable sparse-regression framework recovers the MHD equations from 3D turbulent simulation data, though one small dissipative term is missed in the y-momentum equation.

  4. The art of simulating the early Universe. Part III: Scalar-Gauge-Fluid Dynamics

    astro-ph.CO 2026-07 accept novelty 5.0 of 10

    Detailed continuum-to-lattice schemes are given for perfect/imperfect fluids alone or coupled to scalars/gauges in FLRW, enabling self-consistent CosmoLattice simulations of early-Universe plasma dynamics and GWs.

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