33 citations · 64 across the 15 of their papers we have counts for
18 papers
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…
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…
A flexible and differentiable coil proxy for stellarator equilibrium optimization
Lanke Fu, Dario Panici, Elizabeth Paul +2
Balancing plasma performance and coil cost is a significant challenge when designing a stellarator power plant. Most current stellarator designs are produced through two-stage opti…
Narrow Operator Models of Stellarator Equilibria in Fourier Zernike Basis
Timo Thun, Rory Conlin, Dario Panici +1
Numerical computation of the ideal Magnetohydrodynamic (MHD) equilibrium magnetic field is at the base of stellarator optimisation and provides the starting point for solving more…
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…
Improving ideal MHD equilibrium accuracy with physics-informed neural networks
Timo Thun, Andrea Merlo, Rory Conlin +2
We present a novel approach to compute three-dimensional Magnetohydrodynamic equilibria by parametrizing Fourier modes with artificial neural networks and compare it to equilibria…
Extending near-axis equilibria in DESC
Dario Panici, Eduardo Rodriguez, Rory Conlin +2
The near-axis description of optimised stellarator fields has proven to be a powerful tool both for design and understanding of this magnetic confinement concept. The description c…
High Order Free Boundary MHD Equilibria in DESC
Rory Conlin, Jonathan Schilling, Daniel W. Dudt +3
In this work we consider the free boundary inverse equilibrium problem for 3D ideal MHD. We review boundary conditions for both fixed and free boundary solutions and under what cir…
Spectrally accurate, reverse-mode differentiable bounce-averaging algorithm and its applications
Kaya Unalmis, Rahul Gaur, Rory Conlin +2
We present a fast, spectrally (exponentially) accurate, automatically differentiable bounce-averaging algorithm that is used to simplify kinetic models. Using this algorithm, imple…
Omnigenous stellarators with improved ideal and kinetic ballooning stability
Rahul Gaur, Rory Conlin, David Dickinson +7
Omnigenity is a property of a magnetic field which ensures confinement of trapped particles. It is a necessary requirement for any high-performance stellarator. After creating an o…
ZERNIPAX: A Fast and Accurate Zernike Polynomial Calculator in Python
Yigit Gunsur Elmacioglu, Rory Conlin, Daniel W. Dudt +2
Zernike polynomials serve as an orthogonal basis on the unit disc, and have proven to be effective in optics simulations, astrophysics, and more recently in plasma simulations. Unl…
Stellarator Optimization with Constraints
Rory Conlin, Patrick Kim, Daniel W. Dudt +2
In this work we consider the problem of optimizing a stellarator subject to hard constraints on the design variables and physics properties of the equilibrium. We survey current nu…
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…
Magnetic Fields with General Omnigenity
Daniel W. Dudt, Alan G. Goodman, Rory Conlin +2
Omnigenity is a desirable property of toroidal magnetic fields that ensures confinement of trapped particles. Confining charged particles is a basic requirement for any fusion powe…
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…