{"url":"/dataset/neural-closure-models-runs","name":"Neural Closure Models - Runs","full_name":null,"description_markdown":"The following are all the runs used to generate figures in the paper. Every experiment solves the corresponding high- and low-fidelity model to generate the training, validation, and prediction data.","description_withheld":null,"homepage":"http://mseas.mit.edu/download/guptaa/Neural_closure_models_paper_final_runs/","introduced_date":"2020-12-27","introduced_date_note":null,"introduced_by":{"paper":"/paper/neural-closure-models-for-dynamical-systems","title":"Neural Closure Models for Dynamical Systems","first_author":"Abhinav Gupta","url":null},"license":{"name":"CC BY","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Neural Closure Models - Runs"],"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."}