tag:joss.theoj.org,2005:/papers/tagged/numericsJournal of Open Source Software2024-03-21T10:22:23ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/45062024-03-21T10:22:23Z2024-03-24T17:58:38ZAutomatic Computation for Robot Design (ACRoD): A Python package for numerical calculation of Jacobian of a robot at a given configuration around a specified end-effector pointacceptedv1.1.42023-05-24 15:07:03 UTC952024-03-21 10:22:23 UTC920245927AkkarapakamSuneeshJacobIndian Institute of Technology Kanpur, Kanpur, India.0000-0002-9855-9368RituparnaDattaCapgemini Technological Services India Limited, Bengaluru, India.0000-0003-3816-243810.21105/joss.05927https://doi.org/10.5281/zenodo.10819242Pythonhttps://joss.theoj.org/papers/10.21105/joss.05927.pdfRobotics, Jacobian, Kinematicstag: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/45712024-02-02T16:32:04Z2024-02-03T00:00:40ZFEniCS-arclength: A numerical continuation package in FEniCS for nonlinear problems in solid mechanicsacceptedv0.1.02023-06-29 15:19:07 UTC942024-02-02 16:32:04 UTC920245727PeerasaitPrachasereeDepartment of Mechanical Engineering, Boston University, Massachusetts, the United States of America0009-0000-3325-1410SaeedMohammadzadehDepartment of Systems Engineering, Boston University, Massachusetts, the United States of America0000-0001-9879-044XBerkinDortdivanliogluDepartment of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, the United States of America, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, the United States of America0000-0001-7105-1452EmmaLejeuneDepartment of Mechanical Engineering, Boston University, Massachusetts, the United States of America0000-0001-8099-346810.21105/joss.05727https://doi.org/10.5281/zenodo.10563095Pythonhttps://joss.theoj.org/papers/10.21105/joss.05727.pdfFEniCS, Finite Element Analysis, Solid Mechanicstag:joss.theoj.org,2005:Paper/42052023-10-31T15:03:59Z2023-11-01T00:00:33ZPeleLMeX: an AMR Low Mach Number Reactive Flow Simulation Code without level sub-cyclingacceptedv23.022023-02-14 00:23:22 UTC902023-10-31 15:03:59 UTC820235450LucasEsclapezHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0002-2438-7292MarcDayHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0002-1711-3963JohnBellCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, USA0000-0002-5749-334XAnneFeldenCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, USA0009-0006-2724-4461CandaceGiletIndependent Researcher, USARayGroutHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0002-1760-8747MarcHenryde FrahanHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0001-7742-1565EmmanuelMotheauCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, USA0000-0003-1968-1611AndrewNonakaCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, USA0000-0003-1791-0265LandonOwenSandia National Laboratory, USABrucePerryHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0002-9150-8103JonRoodHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0002-7513-3225NicolasWimerHigh Performance Algorithms and Complex Fluids, National Renewable Energy Laboratory, USA0000-0001-5083-0799WeiqunZhangCenter for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, USA0000-0001-8092-197410.21105/joss.05450https://doi.org/10.5281/zenodo.10056232C++, Roffhttps://joss.theoj.org/papers/10.21105/joss.05450.pdfadaptive mesh refinement, hydrodynamics, combustion, reactions, ExaScale, CFD, low-Mach numbertag:joss.theoj.org,2005:Paper/41032023-08-14T18:55:46Z2023-08-23T14:25:01ZSciris: Simplifying scientific software in Pythonaccepted2.1.02022-12-24 17:36:09 UTC882023-08-14 18:55:46 UTC820235076CliffC.KerrInstitute for Disease Modeling, Global Health Division, Bill \& Melinda Gates Foundation, Seattle, USA, School of Physics, University of Sydney, Sydney, Australia0000-0003-2517-2354PaulaSanz-LeonInstitute for Disease Modeling, Global Health Division, Bill \& Melinda Gates Foundation, Seattle, USA0000-0002-1545-6380RomeshG.AbeysuriyaInstitute for Disease Modeling, Global Health Division, Bill \& Melinda Gates Foundation, Seattle, USA, Burnet Institute, Melbourne, Australia0000-0002-9618-6457GeorgeL.ChadderdonBurnet Institute, Melbourne, Australia, CAE USA, Tampa, USA0000-0002-3034-2330Vlad-ŞtefanHarbuzSaffron Software, Bucharest, RomaniaParhamSaidiSaffron Software, Bucharest, RomaniaMaria del MarQuirogaBurnet Institute, Melbourne, Australia, Melbourne Data Analytics Platform, The University of Melbourne, Melbourne, Australia0000-0002-8943-2808RowanMartin-HughesBurnet Institute, Melbourne, Australia0000-0002-3724-2412SherrieL.KellyBurnet Institute, Melbourne, Australia0000-0002-6232-5586JamieA.CohenInstitute for Disease Modeling, Global Health Division, Bill \& Melinda Gates Foundation, Seattle, USA0000-0002-8479-1860RobynM.StuartInstitute for Disease Modeling, Global Health Division, Bill \& Melinda Gates Foundation, Seattle, USA, Department of Mathematical Sciences, University of Copenhagen, Copenhagen, Denmark0000-0001-6867-9265AnnaNachesaGoogle, Zürich, Switzerland10.21105/joss.05076https://doi.org/10.5281/zenodo.8245253Pythonhttps://joss.theoj.org/papers/10.21105/joss.05076.pdfpython, scientific software development, computational science, numerical utilities, containers, plottingtag:joss.theoj.org,2005:Paper/37172023-06-27T21:40:04Z2023-06-28T00:01:43ZGORILLA: Guiding-center ORbit Integration with Local Linearization Approachacceptedv1.12022-07-13 10:32:58 UTC862023-06-27 21:40:04 UTC820234890MichaelEderInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, Austria0000-0002-1392-1664LukasM. p.BauerInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, Austria0000-0003-3341-4085DanielForstenlechnerInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, AustriaGeorgS.GraßlerInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, AustriaSergeiV.KasilovInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, Austria, Institute of Plasma Physics, National Science Center, “Kharkov Institute of Physics and Technology,” Akademicheskaya str. 1, 61108 Kharkov, Ukraine, Department of Applied Physics and Plasma Physics, V. N. Karazin Kharkov National University, Svobody sq. 4, 61022 Kharkov, UkraineWinfriedKernbichlerInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, AustriaMarkusMeisterhoferInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, AustriaMichaelScheidtInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, AustriaChristopherG.AlbertInstitut für Theoretische Physik - Computational Physics, Technische Universität Graz, Petersgasse 16, 8010 Graz, Austria0000-0003-4773-416X10.21105/joss.04890https://doi.org/10.5281/zenodo.8059175MATLAB, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04890.pdfFortran, Theoretical physics, Computational physics, Plasma physics, Plasma dynamics, Numerical integration, Hamiltonian mechanics, Kinetic theory, Magnetic confinement fusion, Fusion reactors, Tokamaks, Stellaratorstag:joss.theoj.org,2005:Paper/41942023-06-23T17:52:07Z2023-06-24T06:15:47ZBasicTools: a numerical simulation toolboxaccepted1.9.02023-02-07 16:23:52 UTC862023-06-23 17:52:07 UTC820235142FelipeBordeuSafran Tech, Digital Sciences & Technologies Department, Rue des Jeunes Bois, Châteaufort, 78114 Magny-Les-Hameaux, France0000-0002-0640-5485FabienCasenaveSafran Tech, Digital Sciences & Technologies Department, Rue des Jeunes Bois, Châteaufort, 78114 Magny-Les-Hameaux, France0000-0002-8810-9128JulienCortialSafran Tech, Digital Sciences & Technologies Department, Rue des Jeunes Bois, Châteaufort, 78114 Magny-Les-Hameaux, France0000-0002-7181-956110.21105/joss.05142https://doi.org/10.5281/zenodo.8073764Python, C++, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05142.pdfmesh, fields, finite elements, post-treatmenttag:joss.theoj.org,2005:Paper/43842023-06-13T14:37:03Z2023-06-14T00:01:23Zriccati: an adaptive, spectral solver for oscillatory ODEsacceptedv1.0.132023-04-04 00:38:09 UTC862023-06-13 14:37:03 UTC820235430FruzsinaJ.AgocsCenter for Computational Mathematics, Flatiron Institute, 162 Fifth Avenue, New York, 10010 NY, USA0000-0002-1763-5884AlexH.BarnettCenter for Computational Mathematics, Flatiron Institute, 162 Fifth Avenue, New York, 10010 NY, USA10.21105/joss.05430https://doi.org/10.5281/zenodo.8015503Pythonhttps://joss.theoj.org/papers/10.21105/joss.05430.pdfnumerical methods, ordinary differential equations, oscillatory problemstag:joss.theoj.org,2005:Paper/41532023-03-16T01:48:45Z2023-03-17T02:32:36Zadrt: approximate discrete Radon transform for Pythonacceptedv1.0.02023-01-06 18:29:04 UTC832023-03-16 01:48:45 UTC820235083KarlOtnessNew York University, New York, NY, USA0000-0001-8534-2648DonsubRimWashington University in St. Louis, St. Louis, MO, USA0000-0002-6721-207010.21105/joss.05083https://doi.org/10.5281/zenodo.7738254Python, C++, PowerShellhttps://joss.theoj.org/papers/10.21105/joss.05083.pdfnumerical algorithms, fast transforms, image processing, Radon transform, approximate discrete Radon transformtag:joss.theoj.org,2005:Paper/41582023-03-15T00:11:38Z2023-03-16T00:04:32ZUniversal Numbers Library: Multi-format Variable Precision Arithmetic Libraryacceptedv3.66.12023-01-09 23:04:06 UTC832023-03-15 00:11:38 UTC820235072E.Theodore L.OmtzigtStillwater Supercomputing, Inc, USA0000-0003-0194-951XJamesQuinlanSchool of Mathematical and Physical Sciences, University of New England, USA0000-0002-2628-165110.21105/joss.05072https://doi.org/10.5281/zenodo.7735084C++, Chttps://joss.theoj.org/papers/10.21105/joss.05072.pdfnumerical analysis, deep learning, machine learning, floating-point representations, mixed-precision