9 citations · 9 across the 3 of their papers we have counts for
3 papers
Equation Recast for Canonical Operator Learning Across Parametric PDEs
Qiyun Cheng, Valentin Duruisseaux, Cesar F. Clauser +7
Learning solution operators across broad parameter ranges can require substantial coverage of both input functions and physical parameters, particularly for purely data-driven para…
Correlation of the L-mode density limit with edge collisionality
Andrew Maris, Cristina Rea, Alessandro Pau +10
The "density limit" is one of the fundamental bounds on tokamak operating space, and is commonly estimated via the empirical Greenwald scaling. This limit has garnered renewed inte…
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…