tag:joss.theoj.org,2005:/papers/tagged/modeling?page=2Journal of Open Source Software2024-02-23T15:40:17ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/47752024-02-23T15:40:17Z2024-02-24T00:03:16Zstemflow: A Python Package for Adaptive Spatio-Temporal Exploratory Modelacceptedv1.0.02023-09-21 07:39:41 UTC942024-02-23 15:40:17 UTC920246158YangkangChenKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, ChinaZhongruGuKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, Cardiff University-Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, ChinaXiangjiangZhanKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China, University of Chinese Academy of Sciences, Beijing, China, Cardiff University-Institute of Zoology Joint Laboratory for Biocomplexity Research, Chinese Academy of Sciences, Beijing, China, Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China10.21105/joss.06158https://doi.org/10.6084/m9.figshare.24669132Pythonhttps://joss.theoj.org/papers/10.21105/joss.06158.pdfecology, spatio-temporal big data, citizen science, modeling, seasonal migrationtag:joss.theoj.org,2005:Paper/49992024-02-15T18:47:42Z2024-02-19T16:12:18ZgrowR: R Implementation of the Vegetation Model ModVegeacceptedv1.2.02023-12-15 07:54:47 UTC942024-02-15 18:47:42 UTC920246260KevinP.KramerAgroscope, Climate and Agriculture Group, Reckenholzstrasse 191, CH-8046 Zürich, Switzerland0000-0001-5523-6924PierluigiCalancaAgroscope, Climate and Agriculture Group, Reckenholzstrasse 191, CH-8046 Zürich, Switzerland0000-0003-3113-288510.21105/joss.06260https://doi.org/10.5281/zenodo.10658193Rhttps://joss.theoj.org/papers/10.21105/joss.06260.pdfagronomy, grasslands, agroecology, modellingtag:joss.theoj.org,2005:Paper/46792024-02-07T22:25:26Z2024-02-12T11:55:04ZChi: A Python package for treatment response modellingacceptedv0.2.32023-08-06 13:35:22 UTC942024-02-07 22:25:26 UTC920245925DavidAugustinDepartment of Computer Science, University of Oxford, Oxford, United Kingdom0000-0002-4885-108810.21105/joss.05925https://doi.org/10.5281/zenodo.10510572Pythonhttps://joss.theoj.org/papers/10.21105/joss.05925.pdfpkpd, treatment planning, inference, Bayesian inferencetag:joss.theoj.org,2005:Paper/46092024-02-05T20:21:25Z2024-02-06T00:00:57Zprospect: an R package to link leaf optical properties with their chemical and structural properties with the leaf model PROSPECTacceptedv1.3.02023-07-17 16:12:52 UTC942024-02-05 20:21:25 UTC920246027Jean-BaptisteFéretTETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, Montpellier, France0000-0002-0151-1334Floriande BoissieuTETIS, INRAE, AgroParisTech, CIRAD, CNRS, Université Montpellier, Montpellier, France0000-0002-2185-995210.21105/joss.06027https://doi.org/10.5281/zenodo.10480410Rhttps://joss.theoj.org/papers/10.21105/joss.06027.pdfleaf spectroscopy, vegetation biophysical properties, remote sensing, physical modeling, iterative optimizationtag:joss.theoj.org,2005:Paper/46312024-02-01T01:34:57Z2024-02-02T00:00:56Ztightbinder: A Python package for semi-empirical tight-binding models of crystalline and disordered solidsacceptedv0.12023-07-28 16:04:25 UTC942024-02-01 01:34:57 UTC920245810AlejandroJoséUría-ÁlvarezDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, 28049 Madrid, Spain0000-0001-6668-7333JuanJoséPalaciosDepartamento de Física de la Materia Condensada, Universidad Autónoma de Madrid, 28049 Madrid, Spain, Instituto Nicolás Cabrera, Condensed Matter Physics Centre (IFIMAC), 28049 Madrid, Spain0000-0003-2378-086610.21105/joss.05810https://doi.org/10.5281/zenodo.10496449Pythonhttps://joss.theoj.org/papers/10.21105/joss.05810.pdfcondensed matter physics, electronic structure, tight-binding, Slater-Kostertag:joss.theoj.org,2005:Paper/45862024-01-16T15:49:05Z2024-01-19T17:33:56ZAmbit – A FEniCS-based cardiovascular multi-physics solveraccepteddevelopment2023-07-07 14:32:49 UTC932024-01-16 15:49:05 UTC920245744MarcHirschvogelDepartment of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, MOX, Dipartimento di Matematica, Politecnico di Milano, Milan, Italy0000-0002-4575-912010.21105/joss.05744https://doi.org/10.5281/zenodo.10501275Python, Gnuplothttps://joss.theoj.org/papers/10.21105/joss.05744.pdfcardiovascular mechanics, finite strain solid mechanics, nonlinear elastodynamics, fluid dynamics, 0D lumped models, fluid-solid interaction, fsi, multi-physics couplingtag:joss.theoj.org,2005:Paper/47432024-01-11T22:46:25Z2024-01-12T00:05:23ZPhysioLabXR: A Python Platform for Real-Time, Multi-modal, Brain–Computer Interfaces and Extended Reality Experimentsacceptedv1.0.02023-09-09 02:37:52 UTC932024-01-11 22:46:25 UTC920245854Ziheng'Leo'LiColumbia University, New York, New York, United States of America0000-0001-5187-200XHaowen'John'WeiColumbia University, New York, New York, United States of America0000-0003-1856-5627ZiwenXieColumbia University, New York, New York, United States of America0009-0006-2304-7591YunxiangPengColumbia University, New York, New York, United States of America0009-0000-1824-970XJunePyoSuhColumbia University, New York, New York, United States of America0009-0005-1211-6101StevenFeinerColumbia University, New York, New York, United States of America0000-0001-9978-7090PaulSajdaColumbia University, New York, New York, United States of America0000-0002-9738-134210.21105/joss.05854https://doi.org/10.5281/zenodo.10471500Python, C++, Cythonhttps://joss.theoj.org/papers/10.21105/joss.05854.pdfneuroscience, human–computer interaction, brain-computer interface, multi-modality, virtual augmented realitytag:joss.theoj.org,2005:Paper/47132024-01-11T17:22:56Z2024-01-12T00:01:07ZLIBSsa: an open source software for analyzing LIBS spectraacceptedv2.1.02023-08-21 20:15:54 UTC932024-01-11 17:22:56 UTC920245961KleydsonStenioDepartment of Biotechnology, Federal University of São Carlos, São Carlos, SP 13563-905, Brazil, Embrapa Instrumentation, São Carlos, SP 13560-970, Brazil0000-0002-1407-9712DéboraMarcondes Bastos PereiraMiloriEmbrapa Instrumentation, São Carlos, SP 13560-970, Brazil0000-0003-1253-717410.21105/joss.05961https://doi.org/10.5281/zenodo.10447382Pythonhttps://joss.theoj.org/papers/10.21105/joss.05961.pdfLIBS, spectroscopy, modeling, automationtag:joss.theoj.org,2005:Paper/46872023-12-21T11:33:25Z2023-12-22T00:00:45Zsparse-lm: Sparse linear regression models in Pythonacceptedv0.5.12023-08-09 17:30:58 UTC922023-12-21 11:33:25 UTC820235867LuisBarroso-LuqueMaterials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA, Department of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA0000-0002-6453-9545FengyuXieMaterials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley CA, 94720, USA, Department of Materials Science and Engineering, University of California Berkeley, Berkeley CA, 94720, USA0000-0002-1169-169010.21105/joss.05867https://doi.org/10.5281/zenodo.10246640Pythonhttps://joss.theoj.org/papers/10.21105/joss.05867.pdfscikit-learn, cvxpy, linear regression, regularization, structured sparsitytag: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, osemosys