33 citations · 93 across the 22 of their papers we have counts for
5 papers · 2 filters
Greedy permanent magnet optimization
Alan A. Kaptanoglu, Rory Conlin, Matt Landreman
A number of scientific fields rely on placing permanent magnets in order to produce a desired magnetic field. We have shown in recent work that the placement process can be formula…
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…
The DESC Stellarator Code Suite Part III: Quasi-symmetry optimization
Daniel Dudt, Rory Conlin, Dario Panici +1
The DESC stellarator optimization code takes advantage of advanced numerical methods to search the full parameter space much faster than conventional tools. Only a single equilibri…
The DESC Stellarator Code Suite Part I: Quick and accurate equilibria computations
Dario Panici, Rory Conlin, Daniel W. Dudt +2
3D equilibrium codes are vital for stellarator design and operation, and high-accuracy equilibria are also necessary for stability studies. This paper details comparisons of two th…
The DESC Stellarator Code Suite Part II: Perturbation and continuation methods
Rory Conlin, Daniel W. Dudt, Dario Panici +1
A new perturbation and continuation method is presented for computing and analyzing stellarator equilibria. The method is formally derived from a series expansion about the equilib…