collaborators

6 papers

physics.plasm-ph2026

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…

physics.plasm-ph2026

How Does The Magnetic Gradient Scale Length Influence Complexity of Filamentary Coils in Stellarators?

John Kappel, Matt Landreman, Philipp Jurašić +1

The distance between the last closed flux surface (LCFS) and the nearest electromagnetic coils is a dominating factor in the cost, size, and engineering difficulty of stellarators.…

physics.plasm-ph2025

Omnigenous umbilic stellarators

R. Gaur, D. Panici, T. M. Elder +6

To better understand the dependence of the magnetic field structure in the plasma edge on the plasma boundary shape, in the context of X-point and island divertor designs, we defin…

physics.plasm-ph2025

Exponential Spectral Scaling: Robust and Efficient Stellarator Boundary Optimization via Mode-Dependent Scaling

Byoungchan Jang, Rory Conlin, Matt Landreman

Stellarator boundary optimization faces a fundamental numerical challenge: the extreme disparity between low- and high-mode amplitudes creates an optimization landscape in which di…

physics.plasm-ph2025

Surface Current Optimization and Coil-Cutting Algorithms for Stage-Two Stellarator Optimization

Dario Panici, Rory Conlin, Rahul Gaur +8

Stellarator optimization often takes a two-stage approach, where in the first stage the boundary is varied in order to optimize for some physics metrics, while in the second stage…

physics.plasm-ph2025

How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning

Matt Landreman, Jong Youl Choi, Caio Alves +4

Magnetic geometry has a significant effect on the level of turbulent transport in fusion plasmas. Here, we model and analyze this dependence using multiple machine learning methods…