tag:joss.theoj.org,2005:/papers/by/JacobJournal 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/47182024-03-08T15:59:35Z2024-03-09T00:01:01ZMetObs - a Python toolkit for using non-traditional meteorological observationsacceptedv0.1.12023-08-24 12:50:56 UTC952024-03-08 15:59:35 UTC920245916ThomasVergauwenRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0000-0003-2899-9218MichielVieijraRoyal Meteorological Institute of Belgium, Brussels, Belgium0000-0003-0817-2846AndreiCovaciVrije Universiteit Brussel (VUB), Brussels, Belgium0000-0001-5147-2460AmberJacobsGhent University department of Physics and Astronomy, Ghent, Belgium0000-0002-4628-3988SaraTopGhent University department of Physics and Astronomy, Ghent, Belgium0000-0003-1281-790XWoutDewettinckGhent University department of Physics and Astronomy, Ghent, Belgium0000-0002-0728-5331KobeVandelanotteRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0009-0001-1252-7315IanHelleboschGhent University department of Physics and Astronomy, Ghent, Belgium, VITO, Mol, Belgium0000-0003-0150-529XStevenCaluwaertsRoyal Meteorological Institute of Belgium, Brussels, Belgium, Ghent University department of Physics and Astronomy, Ghent, Belgium0000-0001-7456-389110.21105/joss.05916https://doi.org/10.5281/zenodo.10794417Jupyter Notebook, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05916.pdfMeteorology, Urban climate, Observationstag:joss.theoj.org,2005:Paper/48272024-03-04T15:38:25Z2024-03-05T01:12:22Z$hp\mathrm{3D}$: A Scalable MPI/OpenMP $hp$-Adaptive Finite Element Software Library for Complex Multiphysics Applicationsacceptedv1.0-beta2023-10-02 22:48:04 UTC952024-03-04 15:38:25 UTC920245946StefanHennekingOden Institute, The University of Texas at Austin, USA0000-0003-2177-8519SocratisPetridesLawrence Livermore National Laboratory, USA0000-0002-1284-5495FedericoFuentesInstitute for Mathematical and Computational Engineering, Pontificia Universidad Católica de Chile, Chile0000-0002-4039-082XJacobBadgerOden Institute, The University of Texas at Austin, USA0000-0001-6482-105XLeszekDemkowiczOden Institute, The University of Texas at Austin, USA0000-0001-7839-803710.21105/joss.05946https://doi.org/10.5281/zenodo.10763375Perl, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05946.pdffinite element, hp-adaptivity, DPG methodtag: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/44452024-01-23T12:00:48Z2024-01-24T00:01:21ZFoundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Scienceacceptedv0.5.12023-04-21 18:46:52 UTC932024-01-23 12:00:48 UTC920245467KjSchmidtGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-9373-0058AristanaScourtasGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-3917-605XLoganWardData Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-1323-5939SteveWangenData Science Institute, University of Wisconsin-Madison, Madison, WI, United States of AmericaMarcusSchwartingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0001-6817-7265IsaacDarlingDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaEthanTrueloveDepartment of Computer Science, University of Chicago, Chicago, IL, United States of AmericaAaditAmbadkarGlobus, University of Chicago, Chicago, IL, United States of AmericaRibhavBoseGlobus, University of Chicago, Chicago, IL, United States of AmericaZoaKatokGlobus, University of Chicago, Chicago, IL, United States of AmericaJingruiWeiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaXiangguoLiDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaRyanJacobsDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0003-2229-6730LaneSchultzDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaDoyeonKimDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of AmericaMichaelFerrisDepartment of Computer Science, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-7652-6776PaulM.VoylesDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0001-9438-4284DaneMorganDepartment of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States of America0000-0002-4911-0046IanFosterGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America, Department of Computer Science, University of Chicago, Chicago, IL, United States of America0000-0003-2129-5269BenBlaiszikGlobus, University of Chicago, Chicago, IL, United States of America, Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, United States of America0000-0002-5326-490210.21105/joss.05467https://doi.org/10.5281/zenodo.10494644Pythonhttps://joss.theoj.org/papers/10.21105/joss.05467.pdfMachine Learning, Artificial Intelligence, Materials Science, Datatag:joss.theoj.org,2005:Paper/42642023-11-14T13:13:20Z2023-11-21T14:12:33Zspiketools: a Python package for analyzing single-unit neural activityacceptedv0.0.02023-02-26 05:10:56 UTC912023-11-14 13:13:20 UTC820235268ThomasDonoghueDepartment of Biomedical Engineering, Columbia University, New York, United States of America0000-0001-5911-0472SandraMaesta-PereiraDepartment of Biomedical Engineering, Columbia University, New York, United States of America0000-0001-6522-8311ClaireZhixianHanDepartment of Biomedical Engineering, Columbia University, New York, United States of America0000-0001-9710-8381SalmanEhteshamQasimDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, United States of America0000-0001-8739-5962JoshuaJacobsDepartment of Biomedical Engineering, Columbia University, New York, United States of America, Department of Neurological Surgery, Columbia University, New York, United States of America0000-0003-1807-688210.21105/joss.05268https://doi.org/10.5281/zenodo.10076024Pythonhttps://joss.theoj.org/papers/10.21105/joss.05268.pdfneuroscience, electrophysiology, single unit activitytag:joss.theoj.org,2005:Paper/42782023-10-10T17:00:25Z2023-10-11T00:01:01ZSwiftest: An \textit{N}-body Integrator for Gravitational Systemsacceptedv1.0.02023-03-04 17:59:58 UTC902023-10-10 17:00:25 UTC820235409CarlisleWishardDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, USA, Evansville Museum of Arts, History & Science, USA0009-0001-0733-3268JenniferPouplinDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, USA, Department of Physics and Astronomy, Purdue University, USAJacobElliottDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, USADanaSinghSAIC, Princeton, NJ, USAKaustubAnandDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, USA, School of Aeronautics and Astronautics, Purdue University, USADavidMintonDepartment of Earth, Atmospheric, and Planetary Sciences, Purdue University, USA0000-0003-1656-970410.21105/joss.05409https://doi.org/10.5281/zenodo.8417148Fortran, Pythonhttps://joss.theoj.org/papers/10.21105/joss.05409.pdfAstronomy, Dynamics, N-body, Planetary Systemstag:joss.theoj.org,2005:Paper/45342023-10-03T20:07:24Z2023-10-04T00:00:41ZELK: A python package for correcting, analyzing, and diagnosing TESS integrated light curvesacceptedv0.92023-06-08 20:03:09 UTC902023-10-03 20:07:24 UTC820235605TobinM.WainerDepartment of Astronomy, University of Washington, Box 351580, Seattle, WA 98195, USA, Department of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA0000-0001-6320-2230TomWaggDepartment of Astronomy, University of Washington, Box 351580, Seattle, WA 98195, USA0000-0001-6147-5761VijithJacobPoovelilDepartment of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA0000-0002-9831-3501GailZasowskiDepartment of Physics and Astronomy, University of Utah, Salt Lake City, UT 84112, USA0000-0001-6761-935910.21105/joss.05605https://doi.org/10.5281/zenodo.8393595Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05605.pdfastronomy, variability, blending, star clusterstag:joss.theoj.org,2005:Paper/45632023-09-17T18:20:22Z2023-09-18T00:01:06ZSimulated Diffusion in Realistic Imaging Features of Tissue (Sim-DRIFT)acceptedv1.0.02023-06-25 16:14:13 UTC892023-09-17 18:20:22 UTC820235621JacobBlumWashington University in St. Louis, USA0000-0002-4156-4094KainenL.UttWashington University in St. Louis, USA0000-0002-8555-900010.21105/joss.05621https://doi.org/10.5281/zenodo.8351982Pythonhttps://joss.theoj.org/papers/10.21105/joss.05621.pdfDiffusion MRI, Diffusion Tensor Imaging, Biophysics, Monte-Carlo Simulation, CUDAtag:joss.theoj.org,2005:Paper/38282023-07-26T13:30:49Z2023-07-27T00:01:46ZAmpTorch: A Python package for scalable fingerprint-based neural network training on multi-element systems with integrated uncertainty quantificationacceptedv0.12022-08-22 16:32:43 UTC872023-07-26 13:30:49 UTC820235035MuhammedShuaibiDepartment of Chemical Engineering, Carnegie Mellon University, United StatesYugeHuDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, United States0000-0003-3648-7749XiangyunLeiDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, United StatesBenjaminM.ComerDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, United StatesMattAdamsDepartment of Chemical Engineering, Carnegie Mellon University, United StatesJacobParasSchool of Physics and School of Computer Science, Georgia Institute of Technology, United StatesRuiQiChenDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, United StatesEricMusaDepartment of Chemical Engineering, University of Michigan, United StatesJosephMusielewiczDepartment of Chemical Engineering, Carnegie Mellon University, United StatesAndrewA.PetersonSchool of Engineering, Brown University, United States0000-0003-2855-9482AndrewJ.MedfordDepartment of Chemical and Biomolecular Engineering, Georgia Institute of Technology, United States0000-0001-8311-9581ZacharyUlissiDepartment of Chemical Engineering, Carnegie Mellon University, United States0000-0002-9401-491810.21105/joss.05035https://doi.org/10.5281/zenodo.8151492Python, C++, C, G-code, GAPhttps://joss.theoj.org/papers/10.21105/joss.05035.pdfmachine learning interatomic potentials, neural networks, molecular dynamics