tag:joss.theoj.org,2005:/papers/tagged/fluidJournal of Open Source Software2024-02-22T20:44:13ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/47412024-02-22T20:44:13Z2024-02-23T00:01:06ZStokesian Dynamics in Pythonaccepted2.1.02023-09-06 17:57:11 UTC942024-02-22 20:44:13 UTC920246011AdamK.TownsendDepartment of Mathematical Sciences, Durham University, Upper Mountjoy, Stockton Road, Durham DH1 3LE, United Kingdom0000-0003-1700-287310.21105/joss.06011https://doi.org/10.5281/zenodo.10685546Python, Fortranhttps://joss.theoj.org/papers/10.21105/joss.06011.pdfStokesian Dynamics, low Reynolds number flow, suspension mechanics, fluid dynamics, non-Newtonian fluidstag:joss.theoj.org,2005:Paper/45862024-01-16T15:49:05Z2024-01-19T17:33:56ZAmbit – A FEniCS-based cardiovascular multi-physics solveraccepteddevelopment2023-07-07 14:32:49 UTC932024-01-16 15:49:05 UTC920245744MarcHirschvogelDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy0000-0002-4575-912010.21105/joss.05744https://doi.org/10.5281/zenodo.10501275Python, Gnuplothttps://joss.theoj.org/papers/10.21105/joss.05744.pdfcardiovascular mechanics, finite strain solid mechanics, nonlinear elastodynamics, fluid dynamics, 0D lumped models, fluid-solid interaction, fsi, multi-physics couplingtag:joss.theoj.org,2005:Paper/47032023-12-12T17:53:55Z2023-12-13T00:00:41ZHW2D: A reference implementation of the Hasegawa-Wakatani model for plasma turbulence in fusion reactorsacceptedv0.1.02023-08-16 01:37:55 UTC922023-12-12 17:53:55 UTC820235959RobinGreifMax-Planck Institute for Plasma Physics, Germany, Technical University Munich, Germany0000-0003-4143-780X10.21105/joss.05959https://doi.org/10.5281/zenodo.10365012Pythonhttps://joss.theoj.org/papers/10.21105/joss.05959.pdfplasma physics, dynamics, fluid dynamics, simulationtag:joss.theoj.org,2005:Paper/44462023-09-06T21:43:32Z2023-09-07T13:47:17Zxinvert: A Python package for inversion problems in geophysical fluid dynamicsacceptedv0.1.02023-04-21 22:00:51 UTC892023-09-06 21:43:32 UTC820235510Yu-KunQianState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China0000-0001-5660-761910.21105/joss.05510https://doi.org/10.5281/zenodo.8320324Pythonhttps://joss.theoj.org/papers/10.21105/joss.05510.pdfgeophysics, atmosphere, ocean, geophysical fluid dynamics, steady state problem, second-order partial differential equation, successive over relaxationtag:joss.theoj.org,2005:Paper/40032023-08-25T03:11:09Z2023-08-26T00:01:24ZGNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modelingacceptedv1.0.12022-11-13 22:08:21 UTC882023-08-25 03:11:09 UTC820235025KrishnaKumarAssistant Professor, University of Texas at Austin, Texas, USA0000-0003-2144-5562JosephVantasselAssistant Professor, Virginia Tech, Virginia, USA, Texas Advanced Computing Center, University of Texas at Austin, Texas, USA0000-0002-1601-335410.21105/joss.05025https://doi.org/10.5281/zenodo.8249813Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05025.pdfmachine learning, simulationtag:joss.theoj.org,2005:Paper/42882023-05-19T14:59:08Z2023-05-20T00:01:17ZVaMPy: An Automated and Objective Pipeline for Modeling Vascular Geometriesacceptedv1.0.12023-03-08 11:08:28 UTC852023-05-19 14:59:08 UTC820235278HenrikA.KjeldsbergDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway0000-0002-7764-4248AslakW.BergersenDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway0000-0001-5063-3680KristianValen-SendstadDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway0000-0002-2907-017110.21105/joss.05278https://doi.org/10.5281/zenodo.7950605Pythonhttps://joss.theoj.org/papers/10.21105/joss.05278.pdfpre-processing, computational fluid dynamics, post-processing, vascular modeling, automated objective pipelinetag:joss.theoj.org,2005:Paper/34192023-04-11T15:47:05Z2023-06-08T19:07:56ZFlowSieve: A Coarse-Graining Utility for Geophysical Flows on the Sphereacceptedv3.0.02022-03-11 16:47:12 UTC842023-04-11 15:47:05 UTC820234277BenjaminA.StorerDepartment of Mechanical Engingeering, University of Rochester, USA0000-0001-5955-2158HusseinAluieDepartment of Mechanical Engingeering, University of Rochester, USA0000-0003-3516-369710.21105/joss.04277https://doi.org/10.5281/zenodo.7818192C++, C, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04277.pdfcoarse graining, scale decomposition, fluid dynamicstag:joss.theoj.org,2005:Paper/37322023-04-05T12:33:29Z2023-04-06T00:03:30ZRTMsim - A Julia module for filling simulations in Resin Transfer Moulding with the Finite Area Methodacceptedv1.0.12022-07-20 06:49:04 UTC842023-04-05 12:33:29 UTC820234763ChristofObertscheiderAerospace Engineering Department, University of Applied Sciences Wiener Neustadt, Johannes-Gutenberg-Straße 3, 2700, Wiener Neustadt, AustriaEwaldFausterProcessing of Composites Group, Department Polymer Engineering and Science, Montanuniversität Leoben, Otto Glöckl-Straße 2, 8700 Leoben, Austria10.21105/joss.04763https://doi.org/10.5281/zenodo.7799266Juliahttps://joss.theoj.org/papers/10.21105/joss.04763.pdfComputational Fluid Dynamics (CFD), Shell mesh, Resin Transfer moulding (RTM), Liquid composite moulding (LCM), Filling simulationtag:joss.theoj.org,2005:Paper/39122023-03-13T12:07:49Z2023-03-14T00:04:35ZNIMPHS: Numerous Instruments to Manipulate and Post-process Hydraulic Simulationsaccepted0.4.12022-09-22 11:01:55 UTC832023-03-13 12:07:49 UTC820234868FélixOlartARTELIA, France, Université Gustave Eiffel, FranceThibaultOudartARTELIA, FranceOlivierBertrandARTELIA, FranceMehdi-PierreDaouARTELIA, France10.21105/joss.04868https://doi.org/10.5281/zenodo.7696769Pythonhttps://joss.theoj.org/papers/10.21105/joss.04868.pdfOpenFOAM, TELEMAC-MASCARET, Computational fluid dynamics, Geophysical fluid dynamics, Blendertag:joss.theoj.org,2005:Paper/39262023-02-16T21:45:43Z2023-02-19T11:09:41ZdirectChillFoam: an OpenFOAM application for direct-chill castingacceptedOF9.0.12022-09-26 11:12:36 UTC822023-02-16 21:45:43 UTC820234871BrunoLebonBrunel Centre for Advanced Solidification Technology, Brunel University London, Uxbridge, UK0000-0002-9389-132910.21105/joss.04871https://doi.org/10.5281/zenodo.7645448C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04871.pdfOpenFOAM, direct-chill casting, metallurgy, computational fluid dynamics, heat transfer, solidification