tag:joss.theoj.org,2005:/papers/tagged/monte-carlo-simulationJournal of Open Source Software2023-11-21T16:27:28ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/44572023-11-21T16:27:28Z2023-11-22T08:46:01ZQMCTorch: a PyTorch Implementation of Real-Space Quantum Monte Carlo Simulations of Molecular Systemsacceptedv0.3.02023-04-28 08:45:41 UTC912023-11-21 16:27:28 UTC820235472NicolasRenaudNetherlands eScience Center, Science Park 402, 1098 XH Amsterdam, The Netherlands0000-0001-9589-269410.21105/joss.05472https://doi.org/10.5281/zenodo.10122190Pythonhttps://joss.theoj.org/papers/10.21105/joss.05472.pdfDeep Learning, Quantum Chemistry, Monte Carlo, Molecular Systemstag:joss.theoj.org,2005:Paper/46082023-09-28T19:37:54Z2023-09-29T11:54:28ZBlackBIRDS: Black-Box Inference foR Differentiable Simulatorsacceptedv1.02023-07-17 13:26:44 UTC892023-09-28 19:37:54 UTC820235776ArnauQuera-BofarullDepartment of Computer Science, University of Oxford, UK, Institute for New Economic Thinking, University of Oxford, UK0000-0001-5055-9863JoelDyerDepartment of Computer Science, University of Oxford, UK, Institute for New Economic Thinking, University of Oxford, UK0000-0002-8304-8450AnisoaraCalinescuDepartment of Computer Science, University of Oxford, UK0000-0003-2082-734XJ.DoyneFarmerInstitute for New Economic Thinking, University of Oxford, UK, Mathematical Institute, University of Oxford, UK, Santa Fe Institute, USA0000-0001-7871-073XMichaelWooldridgeDepartment of Computer Science, University of Oxford, UK0000-0002-9329-841010.21105/joss.05776https://doi.org/10.5281/zenodo.8377044Pythonhttps://joss.theoj.org/papers/10.21105/joss.05776.pdfBayesian inference, differentiable simulators, variational inference, Markov chain Monte Carlotag: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/36142023-04-19T13:32:01Z2023-04-20T00:02:54ZNew developments in PySDM and PySDM-examples v2: collisional breakup, immersion freezing, dry aerosol initialization, and adaptive time-steppingacceptedv2.82022-05-19 01:14:11 UTC842023-04-19 13:32:01 UTC820234968EmilyK.de JongDepartment of Mechanical and Civil Engineering, California Institute of Technology, Pasadena, CA, United States of America0000-0002-5310-4554ClareE.SingerDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of America0000-0002-1708-0997SajjadAzimiDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of America0000-0002-6329-7775PiotrBartmanFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-0265-6428OleksiiBulenokFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-2272-8548KacperDerlatkaFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-3137-1288IsabellaDulaDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of AmericaAnnaJarugaDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of America0000-0003-3194-6440J.BenMackayDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of America, Scripps Institution of Oceanography, San Diego, CA, United States of America0000-0001-8677-3562RyanX.WardDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, United States of America0000-0003-2317-3310SylwesterArabasFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland, Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, United States of America0000-0003-2361-008210.21105/joss.04968https://doi.org/10.5281/zenodo.7640495Pythonhttps://joss.theoj.org/papers/10.21105/joss.04968.pdfphysics-simulation, monte-carlo-simulation, atmospheric-modeling, particle-system, atmospheric-physicstag:joss.theoj.org,2005:Paper/34542022-06-25T19:21:52Z2022-06-26T00:01:14ZMeMC: A package for Monte Carlo simulations of spherical shellsacceptedv1.02022-03-31 12:24:55 UTC742022-06-25 19:21:52 UTC720224305VipinAgrawalNordita, KTH Royal Institute of Technology and Stockholm University, Roslagstullsbacken 23, 10691 Stockholm, Sweden., Department of Physics, Stockholm University, Stockholm, Sweden.0000-0002-1291-5035VikashPandeyNordita, KTH Royal Institute of Technology and Stockholm University, Roslagstullsbacken 23, 10691 Stockholm, Sweden.0000-0002-5120-2142HannaKylhammarKTH Royal Institute of Technology, Sweden.0000-0001-8578-2272ApurbaDevDepartment of Electrical Engineering, The Angstrom Laboratory, Uppsala University, Uppsala, Sweden., Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, Stockholm, Sweden.0000-0002-6235-2891DhrubadityaMitraNordita, KTH Royal Institute of Technology and Stockholm University, Roslagstullsbacken 23, 10691 Stockholm, Sweden.0000-0003-4861-815210.21105/joss.04305https://doi.org/10.5281/zenodo.6671531C++, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04305.pdftag:joss.theoj.org,2005:Paper/25472022-04-25T14:32:29Z2022-04-25T15:42:08ZPySDM v1: particle-based cloud modeling package for warm-rain microphysics and aqueous chemistryacceptedv12021-03-31 18:49:42 UTC722022-04-25 14:32:29 UTC720223219PiotrBartmanFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-0265-6428OleksiiBulenokFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-2272-8548KamilGórskiFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, PolandAnnaJarugaDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA0000-0003-3194-6440GrzegorzŁazarskiFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland, Faculty of Chemistry, Jagiellonian University, Kraków, Poland0000-0002-5595-371XMichaelA.OlesikFaculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Kraków, Poland0000-0002-6319-9358BartoszPiaseckiFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, PolandClareE.SingerDepartment of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA, USA0000-0002-1708-0997AleksandraTalarFaculty of Mathematics and Computer Science, Jagiellonian University, Kraków, PolandSylwesterArabasUniversity of Illinois at Urbana-Champaign, Urbana, IL, USA, Faculty of Mathematics and Computer Science, Jagiellonian University, Kraków, Poland0000-0003-2361-008210.21105/joss.03219https://doi.org/10.5281/zenodo.6321270Pythonhttps://joss.theoj.org/papers/10.21105/joss.03219.pdfphysics-simulation, monte-carlo-simulation, gpu-computing, atmospheric-modeling, particle-system, numba, thrust, nvrtc, pint, atmospheric-physicstag:joss.theoj.org,2005:Paper/26642021-07-11T23:10:10Z2021-07-12T00:01:05Zneworder: a dynamic microsimulation framework for Pythonaccepted0.3.02021-05-08 16:52:28 UTC632021-07-11 23:10:10 UTC620213351AndrewP.SmithSchool of Law, University of Leeds, UK0000-0002-9951-664210.21105/joss.03351https://doi.org/10.5281/zenodo.5090120Python, C++https://joss.theoj.org/papers/10.21105/joss.03351.pdfPybind11, distributed computing, microsimulation, Monte-Carlo simulationtag:joss.theoj.org,2005:Paper/20472021-05-13T13:24:09Z2021-05-20T20:10:30ZParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortranacceptedv1.2.02020-09-29 21:20:03 UTC612021-05-13 13:24:09 UTC620212741AmirShahmoradiDepartment of Physics, The University of Texas, Arlington, TX, Data Science Program, The University of Texas, Arlington, TX0000-0002-9720-8937FatemehBagheriDepartment of Physics, The University of Texas, Arlington, TX10.21105/joss.02741https://doi.org/10.5281/zenodo.4749957Python, Fortranhttps://joss.theoj.org/papers/10.21105/joss.02741.pdfC, C++, Monte Carlo, Markov Chain Monte Carlo, Uncertainty Quantification, Metropolis-Hastings, adaptive sampling, MCMC, DRAMtag:joss.theoj.org,2005:Paper/20462021-03-04T16:01:15Z2021-03-05T00:01:54Zpolypy - Analysis Tools for Solid State Molecular Dynamics and Monte Carlo Trajectoriesaccepted0.82020-09-29 11:38:20 UTC592021-03-04 16:01:15 UTC620212824AdamR.SymingtonDepartment of Chemistry, University of Bath0000-0001-6059-497X10.21105/joss.02824https://doi.org/10.5281/zenodo.4568493Pythonhttps://joss.theoj.org/papers/10.21105/joss.02824.pdfChemistry, Physics, Materials Science, Solid State Chemistry, Simulation, Molecular Dynamics, Monte Carlotag:joss.theoj.org,2005:Paper/14232020-09-08T13:18:40Z2021-02-15T11:31:11ZScripts for Easier Use of Spice (SEUS): A Perl script package for simulating and creating batches of circuit netlists for Monte Carlo simulations when using Ngspice or Ngspice-based simulatorsacceptedv1.0.02019-12-30 05:57:01 UTC532020-09-08 13:18:40 UTC520202183MichaelA.TuriComputer Engineering Program, California State University, Fullerton0000-0002-9171-530510.21105/joss.02183https://doi.org/10.5281/zenodo.4017949Perlhttps://joss.theoj.org/papers/10.21105/joss.02183.pdfNgspice, Monte Carlo simulations