tag:joss.theoj.org,2005:/papers/tagged/energyJournal of Open Source Software2024-03-26T15:54:37ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/48572024-03-26T15:54:37Z2024-03-27T00:01:22ZMold: a LAMMPS package to compute interfacial free energies and nucleation ratesacceptedLAMMPS 20232023-10-20 08:11:09 UTC952024-03-26 15:54:37 UTC920246083AndresR.TejedorYusuf Hamied Department of Chemistry, University of Cambridge, United Kingdom, Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Spain0000-0002-9437-6169IgnacioSanchez-BurgosCavendish Laboratory, Department of Physics, University of Cambridge, United Kingdom0000-0002-1160-3945EduardoSanzDepartamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Spain0000-0001-6474-5835CarlosVegaDepartamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Spain0000-0002-2417-9645FelipeJ.BlasLaboratorio de Simulacion Molecular y Quimica Computacional, CIQSO-Centro de Investigacion en Quimica Sostenible and Departamento de Ciencias Integradas, Universidad de Huelva, Spain0000-0001-9030-040XRuslanL.DavidchackSchool of Computing and Mathematical Sciences, University of Leicester, United Kingdom0000-0001-9418-5322NicodemoDi PasqualeDepartment of Chemical Engineering, Brunel University London, United Kingdom, Dipartimento di Chimica Industriale, Università di Bologna, Italy0000-0001-5676-8527JorgeRamirezDepartment of Chemical Engineering, Universidad Politécnica de Madrid, Spain0000-0002-8946-3786JorgeR.EspinosaDepartamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Spain0000-0001-9530-265810.21105/joss.06083https://doi.org/10.5281/zenodo.10843863C++https://joss.theoj.org/papers/10.21105/joss.06083.pdfLAMMPS, Molecular simulations, Phase Transitions, Nucleation theorytag: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/47172024-02-07T21:21:42Z2024-02-14T14:53:20ZCLEAVING: a LAMMPS package to compute surface free energiesacceptedv1.0.02023-08-24 09:40:12 UTC942024-02-07 21:21:42 UTC920245886NicodemoDi PasqualeDepartment of Chemical Engineering, Brunel University London, United Kingdom, (Current affiliation) Department of Industrial Chemistry, University of Bologna, Italy0000-0001-5676-8527RuslanDavidchackDepartment of Mathematics, University of Leicester, United Kingdom0000-0001-9418-5322LorenzoRovigattiDepartment of Physics, Sapienza University of Rome, Italy, CNR-ISC UoS Sapienza, Rome, Italy0000-0001-5017-282910.21105/joss.05886https://doi.org/10.5281/zenodo.10567702C++, Python, Fortranhttps://joss.theoj.org/papers/10.21105/joss.05886.pdfLAMMPS, Molecular simulations, Phase Transitionstag:joss.theoj.org,2005:Paper/47112024-01-09T18:00:24Z2024-01-10T00:01:02ZCLPFUDatabase: A suite of R packages for energy conversion chain analysisacceptedThis submission covers several packages, each with its own current version.2023-08-20 17:36:52 UTC932024-01-09 18:00:24 UTC920246057MatthewKuperusHeunEngineering Department, Calvin University, School of Earth and Environment, University of Leeds, School for Public Leadership, Stellenbosch University0000-0002-7438-214XZekeMarshallSchool of Earth and Environment, University of Leeds0000-0001-9260-7827EmmanuelAramendiaSchool of Earth and Environment, University of Leeds0000-0002-5964-677610.21105/joss.06057https://doi.org/10.5281/zenodo.10458774Rhttps://joss.theoj.org/papers/10.21105/joss.06057.pdfenergy, exergy, matrix mathematics, energy efficiencytag:joss.theoj.org,2005:Paper/47642023-12-22T17:02:09Z2024-02-13T02:55:50Zpvlib python: 2023 project updateacceptedv0.10.12023-09-18 15:41:32 UTC922023-12-22 17:02:09 UTC820235994KevinS.Anderson[Sandia National Laboratories0000-0002-1166-7957CliffordW.HansenSandia National Laboratories0000-0002-8620-5378WilliamF.HolmgrenDNV0000-0001-6218-9767AdamR.JensenTechnical University of Denmark0000-0002-5554-9856MarkA.MikofskiDNV0000-0001-8001-8582AntonDriessePV Performance Labs0000-0003-3023-215510.21105/joss.05994https://doi.org/10.5281/zenodo.10412885Python, Pan, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05994.pdfsolar energy, photovoltaics, renewable energytag:joss.theoj.org,2005:Paper/44722023-12-20T13:52:34Z2023-12-21T00:00:54Zotoole: OSeMOSYS Tools for Energy Workacceptedv1.0.32023-05-03 23:46:36 UTC922023-12-20 13:52:34 UTC820235511TrevorBarnesSchool of Sustainable Energy Engineering, Simon Fraser University, Vancouver, Canada0000-0003-2458-2968WillUsherEnergy Technology, KTH Royal Institute of Technology, Stockholm, Sweden0000-0001-9367-179110.21105/joss.05511https://doi.org/10.5281/zenodo.10360538Pythonhttps://joss.theoj.org/papers/10.21105/joss.05511.pdfpython, energy, energy systems, energy systems modelling, osemosystag:joss.theoj.org,2005:Paper/44892023-12-09T20:29:33Z2024-03-22T09:24:24ZNEMSEER: A Python package for downloading and handling historical National Electricity Market forecast data produced by the Australian Energy Market Operatoracceptedv1.0.42023-05-18 06:44:27 UTC922023-12-09 20:29:33 UTC820235883AbhijithPrakashSchool of Electrical Engineering and Telecommunications, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, Australia0000-0002-2945-4757AnnaBruceSchool of Photovoltaics and Renewable Energy Engineering, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, Australia0000-0003-1820-4039IainMacGillSchool of Electrical Engineering and Telecommunications, University of New South Wales, Australia, Collaboration on Energy and Environmental Markets (CEEM), University of New South Wales, Australia0000-0002-9587-683510.21105/joss.05883v1.0.7Pythonhttps://joss.theoj.org/papers/10.21105/joss.05883.pdfNEM, National Electricity Market, Forecast, PASA, Pre dispatchtag:joss.theoj.org,2005:Paper/47242023-10-30T14:04:21Z2023-10-31T00:00:33ZJetNet: A Python package for accessing open datasets and benchmarking machine learning methods in high energy physicsacceptedv0.2.32023-08-29 16:02:38 UTC902023-10-30 14:04:21 UTC820235789RaghavKansalUC San Diego, USA, Fermilab, USA0000-0003-2445-1060CarlosParejaUC San Diego, USA0000-0002-9022-2349ZichunHaoCalifornia Institute of Technology, USA0000-0002-5624-4907JavierDuarteUC San Diego, USA0000-0002-5076-709610.21105/joss.05789https://doi.org/10.5281/zenodo.10044601Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.05789.pdfPyTorch, high energy physics, machine learning, jetstag:joss.theoj.org,2005:Paper/40712023-10-08T07:45:43Z2023-10-09T09:21:20Zbrains-py, A framework to support research on energy-efficient unconventional hardware for machine learningaccepted1.0.22022-12-04 18:53:21 UTC902023-10-08 07:45:43 UTC820235573UnaiAlegre-IbarraMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, Netherlands0000-0001-5957-7945Hans-ChristianRuizEulerMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsHumaidA.MollahMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsBozhidarP.PetrovMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsSrikumarS.SastryMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMarcusN.BoonMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMichelP.de JongMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsMohamadrezaZolfagharinejadMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsFlorentinaM. j.UitzetterMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsBramvan de VenMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsAntónioJ. Sousade AlmeidaMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsSachinKingeMESA+ Institute for Nanotechnology & BRAINS Center for Brain-Inspired Nano Systems, University of Twente, NetherlandsWilfredG.van der WielAdvanced Tech., Materials Engineering Div., Toyota Motor Europe, Belgium10.21105/joss.05573https://doi.org/10.5281/zenodo.8410268Pythonhttps://joss.theoj.org/papers/10.21105/joss.05573.pdfDopant network processing units (DNPUs), Material Learning, Machine Learning Hardware design, Efficient Computing, Materials Sciencetag:joss.theoj.org,2005:Paper/44822023-09-17T14:52:06Z2023-09-18T00:01:08ZThe Spreadsheet Energy System Model Generator (SESMG): A tool for the optimization of urban energy systemsacceptedv0.5.02023-05-12 08:18:56 UTC892023-09-17 14:52:06 UTC820235519ChristianKlemmMünster University of Applied Sciences, Department of Energy, Building Services and Environmental Engineering, Germany, Europa-Universität Flensburg, Department of Energy and Environmental Management, Germany0000-0003-0801-4178GregorBeckerMünster University of Applied Sciences, Department of Energy, Building Services and Environmental Engineering, Germany0000-0001-8803-6873JanN.TocklothMünster University of Applied Sciences, Department of Energy, Building Services and Environmental Engineering, Germany0000-0003-2582-1043JanikBuddeMünster University of Applied Sciences, Department of Energy, Building Services and Environmental Engineering, Germany0000-0002-1617-5900PeterVennemannMünster University of Applied Sciences, Department of Energy, Building Services and Environmental Engineering, Germany0000-0002-0767-501410.21105/joss.05519https://doi.org/10.5281/zenodo.8344791Pythonhttps://joss.theoj.org/papers/10.21105/joss.05519.pdfEnergy System Modeling, Urban Energy System, Optimization, Multi-Energy Systems