activity
20162026
most citedNear-Axis Expansion of Stellarator Equilibrium at Arbitrary Order in the Distance to the Axis

37 citations · 112 across the 9 of their papers we have counts for

collaborators

10 papers

physics.plasm-ph2026

Runaway Electrons in Stellarators: Unlikely or Unavoidable?

Ida Ekmark, Matt Landreman

Generation of relativistic runaway electrons has historically not been considered a possible problem in stellarators, but this may not hold in reactor-scale stellarators despite th…

physics.plasm-ph2026

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…

physics.plasm-ph2025★ 3 cited

Machine-learning Closure for Vlasov-Poisson Dynamics in Fourier-Hermite Space

Nathaniel Barbour, William Dorland, Ian G. Abel +1

Accurate reduced models of turbulence are desirable to facilitate the optimization of magnetic-confinement fusion reactor designs. As a first step toward higher-dimensional turbule…

physics.plasm-ph2025

Optimization of passive superconductors for shaping stellarator magnetic fields

Alan A. Kaptanoglu, Matt Landreman, Michael C. Zarnstorff

We consider the novel problem of optimizing a large set of passive superconducting coils (PSCs) with currents induced by a background magnetic field rather than power supplies. In…

physics.plasm-ph2024

A family of quasi-axisymmetric stellarators with varied rotational transform

Stefan Buller, Matt Landreman, John Kappel +1

We apply a continuation method to recently optimized stellarator equilibria with excellent quasi-axisymmetry (QA) to generate new equilibria with a wide range of rotational transfo…

physics.plasm-ph2023

Grad-Shafranov equilibria via data-free physics informed neural networks

Byoungchan Jang, Alan A. Kaptanoglu, Rahul Gaur +3

A large number of magnetohydrodynamic (MHD) equilibrium calculations are often required for uncertainty quantification, optimization, and real-time diagnostic information, making M…

physics.plasm-ph2021★ 34 cited

Energetic particle transport in optimized stellarators

A Bader, D T Anderson, M Drevlak +7

Nine stellarator configurations, three quasiaxisymmetric, three quasihelically symmetric and three non-quasisymmetric are scaled to ARIES-CS size and analyzed for energetic particl…

physics.plasm-ph2019★ 37 cited

Near-Axis Expansion of Stellarator Equilibrium at Arbitrary Order in the Distance to the Axis

R. Jorge, W. Sengupta, M. Landreman

A direct construction of equilibrium magnetic fields with toroidal topology at arbitrary order in the distance from the magnetic axis is carried out, yielding an analytical framewo…

physics.plasm-ph2018★ 26 cited

The Parallel Boundary Condition for Turbulence Simulations in Low Magnetic Shear Devices

Mike F. Martin, Matt Landreman, Pavlos Xanthopoulos +2

Flux tube simulations of plasma turbulence in stellarators and tokamaks typically employ coordinates which are aligned with the magnetic field lines. Anisotropic turbulent fluctuat…

physics.plasm-ph2016★ 12 cited

Parallel impurity dynamics in the TJ-II stellarator

J A Alonso, J L Velasco, I Calvo +12

We review in a tutorial fashion some of the causes of impurity density variations along field lines and radial impurity transport in the moment approach framework. An explicit and…