Bulletin of the American Physical Society
58th Annual Meeting of the APS Division of Plasma Physics
Volume 61, Number 18
Monday–Friday, October 31–November 4 2016; San Jose, California
Session JP10: Poster Session IV (High School/Undergraduate Research; Space Plasmas; DIII-D Tokamak; Low Temperature Plasma Science, Engineering and Technology
Tuesday, November 1, 2016
Room: Exhibit Hall 1
Abstract ID: BAPS.2016.DPP.JP10.70
Abstract: JP10.00070 : Plasma disruption prediction using machine learning methods: DIII-D*
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*Work supported by US DOE under the Science Undergraduate Laboratory Internship (SULI) program, DE-FC02-04ER54698, and DE-AC02-09CH11466.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2016.DPP.JP10.70
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