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Jayson Barr

4 papers

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papers

Publications (4)

physics.plasm-ph2022

Implementation of AI/Deep Learning Disruption Predictor into a Plasma Control System

William Tang, Ge Dong, Jayson Barr +17

This paper reports on advances to the state-of-the-art deep-learning disruption prediction models based on the Fusion Recurrent Neural Network (FRNN) originally introduced a 2019 N…

physics.plasm-ph2026

Spacecraft heat shield study in the DIII-D tokamak

Dmitri M. Orlov, Evdokiya G. Kostadinova, Igor Bykov +33

We report a new experimental platform developed at the DIII-D National Fusion Facility to investigate carbon ablation and spallation under extreme heat fluxes relevant to fusion pl…

physics.plasm-ph2026

Resonant Pitch-Angle Scattering Of Runaway-Electrons by Externally-launched Helicon Waves in the DIII-D Tokamak

Hari Choudhury, Jeffrey Lestz, Carlos Paz-Soldan +12

Resonant wave-particle interactions between externally launched helicon waves (also known as whistler waves) and runaway electrons (REs) have been demonstrated on the DIII-D tokama…

physics.plasm-ph2026

Comparative qualification of advanced plasma-facing materials for fusion pilot plants through public- and private-sector experiments in DIII-D

Florian Effenberg, Jonathan D. Coburn, Luca Cappelli +44

A coordinated DIII-D campaign exposed and comparatively assessed 44 advanced plasma-facing materials from 12 institutions, including four public-private fusion partnerships, to sup…

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