activity
20232026
collaborators

6 papers

physics.plasm-ph2026

Stellarators Linking Axisymmetric Mirrors Part 1: Coil Design, MHD Equilibrium, and Physics Metrics

Rahul Gaur, Djin Patch, Robert Babin +3

We present a computational design study of a stellarator-mirror hybrid concept, Stellarators Linking Axisymmetric Mirrors (SLAMs), in which an optimized poloidally omnigenous (OP o…

physics.plasm-ph2026

AGNI: A differentiable MHD stability solver & optimizer for magnetic confinement fusion devices

Rahul Gaur, Sanket Patil, Prateek Gupta +2

The existence of an ideal MagnetoHydroDynamic (MHD) equilibrium does not guarantee its stability. Finite toroidal mode number (n) instabilities degrade performance in both tokamaks…

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

Asymptotic quasisymmetric high-beta 3D MHD equilibria near axisymmetry

W. Sengupta, N. Nikulsin, R. Gaur +1

Quasisymmetry (QS), a hidden symmetry of the magnetic field strength, is known to support nested flux surfaces and provide superior particle confinement in stellarators. In this wo…

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-ph2023

Optimization of Nonlinear Turbulence in Stellarators

Patrick Kim, Stefan Buller, Rory Conlin +8

We present new stellarator equilibria that have been optimized for reduced turbulent transport using nonlinear gyrokinetic simulations within the optimization loop. The optimizatio…