{"month":"01","title":"nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow","publication_identifier":{"eissn":["23527110"]},"doi":"10.1016/j.softx.2019.100395","_id":"7364","type":"journal_article","citation":{"short":"J.M. Lopez Alonso, D. Feldmann, M. Rampp, A. Vela-Martín, L. Shi, M. Avila, SoftwareX 11 (2020).","apa":"Lopez Alonso, J. M., Feldmann, D., Rampp, M., Vela-Martín, A., Shi, L., &#38; Avila, M. (2020). nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow. <i>SoftwareX</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.softx.2019.100395\">https://doi.org/10.1016/j.softx.2019.100395</a>","ama":"Lopez Alonso JM, Feldmann D, Rampp M, Vela-Martín A, Shi L, Avila M. nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow. <i>SoftwareX</i>. 2020;11. doi:<a href=\"https://doi.org/10.1016/j.softx.2019.100395\">10.1016/j.softx.2019.100395</a>","ista":"Lopez Alonso JM, Feldmann D, Rampp M, Vela-Martín A, Shi L, Avila M. 2020. nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow. SoftwareX. 11, 100395.","chicago":"Lopez Alonso, Jose M, Daniel Feldmann, Markus Rampp, Alberto Vela-Martín, Liang Shi, and Marc Avila. “NsCouette – A High-Performance Code for Direct Numerical Simulations of Turbulent Taylor–Couette Flow.” <i>SoftwareX</i>. Elsevier, 2020. <a href=\"https://doi.org/10.1016/j.softx.2019.100395\">https://doi.org/10.1016/j.softx.2019.100395</a>.","ieee":"J. M. Lopez Alonso, D. Feldmann, M. Rampp, A. Vela-Martín, L. Shi, and M. Avila, “nsCouette – A high-performance code for direct numerical simulations of turbulent Taylor–Couette flow,” <i>SoftwareX</i>, vol. 11. Elsevier, 2020.","mla":"Lopez Alonso, Jose M., et al. “NsCouette – A High-Performance Code for Direct Numerical Simulations of Turbulent Taylor–Couette Flow.” <i>SoftwareX</i>, vol. 11, 100395, Elsevier, 2020, doi:<a href=\"https://doi.org/10.1016/j.softx.2019.100395\">10.1016/j.softx.2019.100395</a>."},"oa_version":"Published Version","oa":1,"scopus_import":"1","publisher":"Elsevier","publication_status":"published","author":[{"id":"40770848-F248-11E8-B48F-1D18A9856A87","last_name":"Lopez Alonso","full_name":"Lopez Alonso, Jose M","first_name":"Jose M","orcid":"0000-0002-0384-2022"},{"last_name":"Feldmann","full_name":"Feldmann, Daniel","first_name":"Daniel"},{"last_name":"Rampp","first_name":"Markus","full_name":"Rampp, Markus"},{"last_name":"Vela-Martín","full_name":"Vela-Martín, Alberto","first_name":"Alberto"},{"full_name":"Shi, Liang","first_name":"Liang","id":"374A3F1A-F248-11E8-B48F-1D18A9856A87","last_name":"Shi"},{"first_name":"Marc","full_name":"Avila, Marc","last_name":"Avila"}],"language":[{"iso":"eng"}],"file_date_updated":"2020-07-14T12:47:56Z","department":[{"_id":"BjHo"}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","date_created":"2020-01-26T23:00:35Z","article_number":"100395","publication":"SoftwareX","date_published":"2020-01-17T00:00:00Z","article_processing_charge":"No","ddc":["000"],"year":"2020","file":[{"relation":"main_file","file_size":679707,"file_name":"2020_SoftwareX_Lopez.pdf","date_created":"2020-01-27T07:32:46Z","content_type":"application/pdf","date_updated":"2020-07-14T12:47:56Z","creator":"dernst","checksum":"2af1a1a3cc33557b345145276f221668","file_id":"7365","access_level":"open_access"}],"external_id":{"arxiv":["1908.00587"],"isi":["000552271200011"]},"has_accepted_license":"1","article_type":"original","isi":1,"volume":11,"license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","status":"public","abstract":[{"text":"We present nsCouette, a highly scalable software tool to solve the Navier–Stokes equations for incompressible fluid flow between differentially heated and independently rotating, concentric cylinders. It is based on a pseudospectral spatial discretization and dynamic time-stepping. It is implemented in modern Fortran with a hybrid MPI-OpenMP parallelization scheme and thus designed to compute turbulent flows at high Reynolds and Rayleigh numbers. An additional GPU implementation (C-CUDA) for intermediate problem sizes and a version for pipe flow (nsPipe) are also provided.","lang":"eng"}],"date_updated":"2023-08-17T14:29:59Z","tmp":{"image":"/images/cc_by_nc_nd.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)"},"intvolume":"        11","quality_controlled":"1","day":"17"}