Zhu, J.X.
Rea, C. https://orcid.org/0000-0002-9948-2649
Montes, K. https://orcid.org/0000-0002-0762-3708
Granetz, R.S.
Sweeney, R. https://orcid.org/0000-0003-3408-1497
Tinguely, R.A. https://orcid.org/0000-0002-3711-1834
Funding for this research was provided by:
US Department of Energy, Office of Science (DE-FC02-04ER54698 DE-SC0014264)
Article Title: Hybrid deep-learning architecture for general disruption prediction across multiple tokamaks
Journal Title: Nuclear Fusion
Article Type: paper
Copyright Information: © 2020 IAEA, Vienna
Publication dates
Date Received: 2020-08-28
Date Accepted: 2020-10-30
Online publication date: 2020-12-22