{"url":"/dataset/axial-turbine-dataset","name":"Axial turbine dataset","full_name":null,"description_markdown":"An axial turbine is a simplest hydrulic machine which is suitable for low-head conditions. It is required to simulate a machine through CFD and post-process the results to compare the performances of different machines. However, performing CFD simulations are computationally time-consuming and expensive. The goal of this repository is to provide the database of axial turbines and their corresponding post-processed results.\r\n\r\nThis repository contains the complete dataset and the associated analysis scripts used in our research on optimizing axial turbines. The optimization was performed using a Genetic Algorithm and parallelization via the island model.","description_withheld":null,"homepage":"https://github.com/ihs-ustutt/axial_turbine_database/","introduced_date":"2022-06-19","introduced_date_note":null,"introduced_by":null,"license":{"name":"MIT License","url":"https://github.com/ihs-ustutt/axial_turbine_database/tree/main?tab=MIT-1-ov-file#readme"},"modalities":[],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Axial turbine dataset"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}