sveln/tokamark-dataset

Abstract

Development and operation of commercially viable fusion energy reactors such as tokamaks require accurate predictions of plasma dynamics from sparse, noisy, and incomplete sensors readings. The complexity of the underlying physics and the heterogeneity of experimental data pose formidable challenges for conventional numerical methods, while simultaneously highlights the promise of modern data-native AI… See the full description on the dataset page: huggingface.co/datasets/sveln/tokamark-dataset.