{"url":"/dataset/maxwellblobs","name":"MaxwellBlobs","full_name":null,"description_markdown":"The dataset consists of random electromagnetic scatterers and their associated fields when illuminated by a 1000nm plane-wave illumination.\r\nThe scatterers have a refractive index of $n=1.5$ and are surrounded by air ($n=1.0$), and the side-length of the simulated area is 5.12 microns.\r\n\r\n| Type | Samples | Input data       | Output data         | Input shape | Output shape  |\r\n|------|---------|------------------|---------------------|-------------|---------------|\r\n| 2D   |   17040 | Scatterer pixels | $E_z$               | 128x128     | 2x128x128     |\r\n| 3D   |    8720 | Scatterer voxels | $E_x$, $E_y$, $E_z$ | 128x128x128 | 6x128x128x128 |","description_withheld":null,"homepage":"https://doi.org/10.35097/911","introduced_date":"2023-02-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-neural-operator-based-surrogate-solver-for","title":"A neural operator-based surrogate solver for free-form electromagnetic inverse design","first_author":"Yannick Augenstein","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["MaxwellBlobs"],"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."}