{"url":"/dataset/5dof-gb-interpolation","name":"5DOF GB Interpolation","full_name":"Five Degree-of-Freedom Grain Boundary Interpolation","description_markdown":"These are larger MATLAB .mat files required for reproducing plots from the sgbaird-5DOF/interp repository for grain boundary property interpolation. gitID-0055bee_uuID-475a2dfd_paper-data6.mat contains multiple trials of five degree-of-freedom interpolation model runs for various interpolation schemes. gpr46883_gitID-b473165_puuID-50ffdcf6_kim-rng11.mat contains a Gaussian Process Regression model trained on 46883 Fe simulation GBs. See _Five degree-of-freedom property interpolation of arbitrary grain boundaries via Voronoi fundamental zone framework_ DOI: [10.1016/j.commatsci.2021.110756](https://doi.org/10.1016/j.commatsci.2021.110756) for the peer-reviewed, published version of the paper.","description_withheld":null,"homepage":"https://doi.org/10.6084/m9.figshare.14405924.v3","introduced_date":"2021-04-14","introduced_date_note":null,"introduced_by":{"paper":"/paper/five-degree-of-freedom-property-interpolation","title":"Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework","first_author":"Sterling G. Baird","url":null},"license":{"name":"MIT","url":"https://opensource.org/licenses/MIT"},"modalities":[{"name":"Tabular","url":"/datasets/modality/tabular"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["5DOF GB Interpolation"],"data_loaders":[],"num_papers_in_archive":1,"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":"2026-09-24T18:15:14+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."}