tag:joss.theoj.org,2005:/papers/edited_by/@danielskatz?page=2Journal of Open Source Software2023-07-19T17:41:02ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43582023-07-19T17:41:02Z2023-07-20T00:01:41ZPhysics-Informed Neural networks for Advanced modelingaccepted0.0.22023-03-21 14:04:01 UTC872023-07-19 17:41:02 UTC820235352DarioCosciaSISSA, International School of Advanced Studies, Via Bonomea 265, Trieste, Italy0000-0001-8833-6833AnnaIvagnesSISSA, International School of Advanced Studies, Via Bonomea 265, Trieste, Italy0000-0002-2369-4493NicolaDemoSISSA, International School of Advanced Studies, Via Bonomea 265, Trieste, Italy0000-0003-3107-9738GianluigiRozzaSISSA, International School of Advanced Studies, Via Bonomea 265, Trieste, Italy0000-0002-0810-881210.21105/joss.05352https://doi.org/10.5281/zenodo.8163732Pythonhttps://joss.theoj.org/papers/10.21105/joss.05352.pdfpython, deep learning, physics-informed neural networks, scientific machine learning, differential equations.tag:joss.theoj.org,2005:Paper/43912023-06-28T09:40:55Z2023-06-29T00:01:29ZQAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithmsacceptedv1.0.02023-04-06 13:09:54 UTC862023-06-28 09:40:55 UTC820235364TimBodeInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany0000-0001-8280-3891DmitryBagretsInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Institute for Theoretical Physics, University of Cologne, 50937 Cologne, GermanyAditiMisra-SpieldennerTheoretical Physics, Saarland University, 66123 Saarbrücken, GermanyTobiasStollenwerkInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, GermanyFrankK.WilhelmInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany10.21105/joss.05364https://doi.org/10.5281/zenodo.8086187Juliahttps://joss.theoj.org/papers/10.21105/joss.05364.pdfquantum algorithms, automatic differentiation, optimizationtag:joss.theoj.org,2005:Paper/43072023-04-19T20:14:40Z2023-04-20T21:19:59ZQiskit Experiments: A Python package to characterize and calibrate quantum computersaccepted0.4.02023-03-15 08:50:29 UTC842023-04-19 20:14:40 UTC820235329NaokiKanazawaIBM Quantum, IBM Research Tokyo, Tokyo, Japan0000-0002-4192-5558DanielJ.EggerIBM Quantum, IBM Research Europe - Zurich, Ruschlikon, Switzerland0000-0002-5523-9807YaelBen-HaimIBM Quantum, IBM Research Israel, Haifa, IsraelHelenaZhangIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, USA0000-0002-7813-7133WilliamE.ShanksIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, USA0000-0002-5045-8808GadiAleksandrowiczIBM Quantum, IBM Research Israel, Haifa, IsraelChristopherJ.WoodIBM Quantum, IBM T.J. Watson Research Center, Yorktown Heights, USA0000-0001-7606-734910.21105/joss.05329https://doi.org/10.5281/zenodo.7844174Pythonhttps://joss.theoj.org/papers/10.21105/joss.05329.pdfQuantum computing, Characterization, Calibrationtag: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-precisiontag:joss.theoj.org,2005:Paper/40862023-03-14T19:50:49Z2023-08-17T10:51:59ZAtramhasis: An online SKOS vocabulary editoraccepted1.2.02022-12-14 11:18:48 UTC832023-03-14 19:50:49 UTC820235040KoenVan DaeleFlanders Heritage Agency, Belgium0000-0002-8153-2978TinneCahyGEO Solutions, BelgiumWimDe ClercqGEO Solutions, BelgiumJonasGeuensFlanders Heritage Agency, Belgium0000-0001-8197-5034BramGoessensFlanders Heritage Agency, Belgium0000-0001-6693-0866JonathanPirauxGEO Solutions, BelgiumBartSaelenGEO Solutions, BelgiumMaartenTaeymansGEO Solutions, BelgiumCedrikVanderhaegenFlanders Heritage Agency, Belgium10.21105/joss.05040https://doi.org/10.5281/zenodo.7733994Python, Mako, Ruby, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.05040.pdfSKOS, thesaurus, vocabulary, linked datatag:joss.theoj.org,2005:Paper/40332023-03-09T12:49:00Z2023-03-10T00:04:40ZPyccel: a Python-to-X transpiler for scientific high-performance computingacceptedv1.7.02022-12-01 12:59:51 UTC832023-03-09 12:49:00 UTC820234991EmilyBourneCEA, IRFM, F-13108 Saint-Paul-lez-Durance, France0000-0002-3469-2338YamanGüçlüNMPP division, Max-Planck-Institut für Plasmaphysik, Garching bei München, Germany0000-0003-2619-5152SaidHadjoutNMPP division, Max-Planck-Institut für Plasmaphysik, Garching bei München, Germany, Dept. of Mathematics, Technische Universität München, Garching bei München, Germany0000-0003-3878-3146AhmedRatnaniLab. MSDA, Mohammed VI Polytechnic University, Benguerir, Morocco0000-0001-9035-123110.21105/joss.04991https://doi.org/10.5281/zenodo.7711108Python, C, Fortranhttps://joss.theoj.org/papers/10.21105/joss.04991.pdftranspiler, C language, HPC, scientific computingtag:joss.theoj.org,2005:Paper/38392023-03-08T15:58:55Z2023-03-09T00:04:48ZOPSDN: an enhanced SDN simulation framework for OPNET Modeleracceptedv0.2.12022-08-26 08:46:57 UTC832023-03-08 15:58:55 UTC820234815ZequnJiaSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing, China., School of Electrical and Data Engineering, University of Technology Sydney, Sydney, Australia.0000-0002-7144-4448YantaoSunSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.QiangLiuSchool of Computer and Information Technology, Beijing Jiaotong University, Beijing, China.10.21105/joss.04815https://doi.org/10.5281/zenodo.7708397C++, C, Cythonhttps://joss.theoj.org/papers/10.21105/joss.04815.pdfPython, C/C++, OPNET, Software-defined networking, network simulationtag:joss.theoj.org,2005:Paper/39832023-01-31T15:42:08Z2023-02-01T00:00:23Zfieldcompare: A Python package for regression testing simulation resultsacceptedv1.0.02022-10-31 11:17:51 UTC812023-01-31 15:42:08 UTC820234905DennisGläserUniversity of Stuttgart, Germany0000-0001-9646-881XTimoKochUniversity of Oslo, Norway0000-0003-4776-5222SörenPetersTechnical University Braunschweig, Germany0000-0001-5236-3776SvenMarcusTechnical University Braunschweig, Germany0000-0003-3689-2162BerndFlemischUniversity of Stuttgart, Germany0000-0001-8188-620X10.21105/joss.04905https://doi.org/10.5281/zenodo.7588449Pythonhttps://joss.theoj.org/papers/10.21105/joss.04905.pdfsimulation, regression testtag:joss.theoj.org,2005:Paper/39072022-12-23T18:24:34Z2022-12-24T00:00:58ZGLUE Code: A framework handling communication and interfaces between scalesacceptedv1.0.02022-09-20 21:01:36 UTC802022-12-23 18:24:34 UTC720224822AleksandraPachalievaCenter for Non-Linear Studies, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA, Earth and Environmental Sciences (EES) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0003-1246-0410RobertS.PavelComputer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0001-7913-9918JavierE.SantosCenter for Non-Linear Studies, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA, Earth and Environmental Sciences (EES) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0002-2404-3975AbdourahmaneDiawFusion Energy Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA0000-0001-6743-3255NicholasLubbersComputer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0002-9001-9973MohamedMehanaEarth and Environmental Sciences (EES) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0003-2472-2879JeffreyR.HaackComputer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0002-2044-0885HariS.ViswanathanEarth and Environmental Sciences (EES) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0002-1178-9647DanielLivescuComputer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0003-2367-1547TimothyC.GermannTheoretical Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0002-6813-238XChristophJunghansComputer, Computational and Statistical Sciences (CCS) Division, Los Alamos National Laboratory, Los Alamos, 87545 NM, USA0000-0003-0925-145810.21105/joss.04822https://doi.org/10.5281/zenodo.7469110Fortran, C++, C, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04822.pdfmultiscale simulations, active machine leanring, scale-bridging, ICF, MDtag:joss.theoj.org,2005:Paper/39372022-12-13T13:38:32Z2022-12-14T00:01:24Zcosasi: Graph Diffusion Source Inference in Pythonaccepted0.0.12022-10-03 18:27:51 UTC802022-12-13 13:38:32 UTC720224894LucasH.McCabeDigital and Analytic Solutions, Logistics Management Institute, Department of Mathematics, The George Washington University0000-0002-7383-282310.21105/joss.04894https://doi.org/10.5281/zenodo.7430558Pythonhttps://joss.theoj.org/papers/10.21105/joss.04894.pdfnetwork science, graph algorithms, network analysis, epidemics, simulation, communication, information theory