tag:joss.theoj.org,2005:/papers/tagged/flowJournal of Open Source Software2024-03-20T16:19:58ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/47592024-03-20T16:19:58Z2024-03-21T00:23:03ZPywaterflood: Well connectivity analysis through capacitance-resistance modelingacceptedv0.3.12023-09-16 18:42:32 UTC952024-03-20 16:19:58 UTC920246191FrankMalePennsylvania State University, University Park, PA, USA0000-0002-3402-557810.21105/joss.06191https://doi.org/10.5281/zenodo.10815882Python, Rusthttps://joss.theoj.org/papers/10.21105/joss.06191.pdfwell connectivity analysis, waterfloods, CO2 floods, Geothermal energy, multiphase flowtag:joss.theoj.org,2005:Paper/48482024-02-29T09:57:40Z2024-03-01T00:00:27ZSurjectors: surjection layers for density estimation with normalizing flowsacceptedv0.0.32023-10-14 23:34:59 UTC942024-02-29 09:57:40 UTC920246188SimonDirmeierSwiss Data Science Center, Zurich, Switzerland, ETH Zurich, Zurich, Switzerland10.21105/joss.06188https://doi.org/10.5281/zenodo.10679869Pythonhttps://joss.theoj.org/papers/10.21105/joss.06188.pdfJAX, Density estimation, Normalizing flow, Machine learning, Statisticstag: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/49402024-01-30T20:22:29Z2024-01-31T18:09:06Zhillmaker: A Python package for occupancy analysis in discrete entity flow systemsacceptedv0.8.02023-11-16 15:34:53 UTC932024-01-30 20:22:29 UTC920246154MarkW.IskenSchool of Business Administration, Oakland University, United States of America0000-0001-8471-9116JacobW.NormanUNC Health Rex, Raleigh, United States of America10.21105/joss.06154https://doi.org/10.5281/zenodo.10530420Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.06154.pdfoccupancy analysis, capacity planning, healthcaretag:joss.theoj.org,2005:Paper/46862024-01-22T16:32:03Z2024-01-23T00:01:01ZThe Kestrel software for simulations of morphodynamic Earth-surface flowsaccepted1.02023-08-09 17:30:12 UTC932024-01-22 16:32:03 UTC920246079JakeLanghamSchool of Mathematics, Fry Building, University of Bristol, Bristol, BS8 1UG, UK0000-0001-9857-7016MarkJ.WoodhouseSchool of Earth Sciences, Wills Memorial Building, University of Bristol, Bristol, BS8 1RJ, UK0000-0002-2198-679110.21105/joss.06079https://doi.org/10.5281/zenodo.10477693M4, Fortran, C++https://joss.theoj.org/papers/10.21105/joss.06079.pdfgeophysics, shallow water, debris flow, morphodynamicstag: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/36992023-10-18T00:52:56Z2023-10-19T00:00:30ZDPFEHM: a differentiable subsurface physics simulatoracceptedv0.1.02022-07-01 18:45:46 UTC902023-10-18 00:52:56 UTC820234560DanielO'MalleyLos Alamos National Laboratory, USA0000-0003-0432-3088SarahY.GreerLos Alamos National Laboratory, USA, Massachussets Institute of Technology, USA0000-0001-6463-0296AleksandraPachalievaLos Alamos National Laboratory, USA0000-0003-1246-0410WuHaoLos Alamos National Laboratory, USA0000-0002-9402-7401DylanHarpThe Freshwater Trust, USA0000-0001-9777-8000VelimirV.VesselinovSmartTensors, LLC, USA0000-0002-6222-053010.21105/joss.04560https://doi.org/10.5281/zenodo.8329952Juliahttps://joss.theoj.org/papers/10.21105/joss.04560.pdfhydrology, multiphase flow, transport, wave equationtag:joss.theoj.org,2005:Paper/42032023-08-14T13:24:31Z2023-08-15T00:01:40ZBluebonnet: Scaling solutions for production analysis from unconventional oil and gas wellsacceptedv0.1.02023-02-10 22:11:31 UTC882023-08-14 13:24:31 UTC820235255FrankMalePennsylvania State University, University Park, PA, USA, University of Texas at Austin, TX, USA0000-0002-3402-5578MichaelP.MarderUniversity of Texas at Austin, TX, USALeopoldoM.Ruiz-MaraggiUniversity of Texas at Austin, TX, USALarryW.LakeUniversity of Texas at Austin, TX, USA10.21105/joss.05255https://doi.org/10.5281/zenodo.8240137Pythonhttps://joss.theoj.org/papers/10.21105/joss.05255.pdfhydraulic fracturing, production analysis, production forecasting, multiphase flowtag:joss.theoj.org,2005:Paper/40162023-08-07T16:27:48Z2023-08-08T00:01:14ZSubZero: a discrete element sea ice model that simulates floes as evolving concave polygonsacceptedv1.0.22022-11-19 21:21:08 UTC882023-08-07 16:27:48 UTC820235039BrandonP.MontemuroSchool of Oceanography, University of Washington, Seattle, WA, USA0000-0003-1946-4916GeorgyE.ManucharyanSchool of Oceanography, University of Washington, Seattle, WA, USA0000-0001-7959-267510.21105/joss.05039https://doi.org/10.5281/zenodo.8205778MATLAB, C++, C#https://joss.theoj.org/papers/10.21105/joss.05039.pdfSea Ice Modeling, Collisions, Fractures, Deformation, Discrete Element Methods, Deformable Polygonal Elements, Floe Size Distribution, Ice Thickness Distributiontag:joss.theoj.org,2005:Paper/44532023-07-21T21:48:08Z2023-07-22T00:01:32ZSyntheticEddyMethod.jl: A Julia package for the creation of inlet flow conditions for LESacceptedv0.4.12023-04-26 15:11:17 UTC872023-07-21 21:48:08 UTC820235565CarloBrunelliMechanical Engineering Department, Royal Military Academy, Belgium0000-0002-2873-629310.21105/joss.05565https://doi.org/10.5281/zenodo.8167205Juliahttps://joss.theoj.org/papers/10.21105/joss.05565.pdfTurbulence, Eddy, Inlet Conditions, LES