33 citations · 93 across the 22 of their papers we have counts for
5 papers · 1 filter
Applications of Poincaré Boundary Condition for 3D Ideal MHD Equilibrium and Optimization
Yigit Gunsur Elmacioglu, Dario Panici, Rory Conlin +2
Stellarator ideal magnetohydrodynamic (MHD) codes that assume nested flux surfaces such as \texttt{VMEC} and \texttt{DESC} solve the equilibrium problem by prescribing the total to…
AI-Accelerated Gyrokinetic Predictions of Turbulent Transport for Stellarator Design Optimization and Experimental Planning
R. Michael Churchill, Matt Landreman, Jong Youl Choi +10
Previous work built AI-based surrogates for a nonlinear gyrokinetic simulation code with the goal of using them for fast, direct calculations of turbulent ion heat flux in stellara…
yancc: A GPU-accelerated, differentiable solver for neoclassical transport in tokamaks and stellarators
Rory Conlin, Matt Landreman
We present yancc, a new GPU-accelerated solver for the drift kinetic equation that computes neoclassical transport fluxes, flows, and currents in tokamaks and stellarators. The dri…
Bayesian optimization of stellarator alpha-particle confinement using data-informed parameter spaces and dimensionality reduction
Matt Landreman, Michael Czekanski, Andrew Giuliani +2
Modern stellarators are typically designed by optimizing the shape of the plasma boundary surface, with the parameters taken to be Fourier amplitudes. Many promising optimization a…
Deflation Techniques for Stellarator Equilibrium and Optimization
Dario Panici, Byoungchan Jang, Rory Conlin +3
Stellarator optimization is a multi-objective, non-convex problem characterized by a complex objective landscape containing many local minima. The solution resulting from a single…