22 citations · 61 across the 10 of their papers we have counts for
11 papers
Divertor topology and vacuum vessel design for stellarators
Andrew Giuliani, Raffael Wendlinger, Misha Padidar +4
We present stellarator optimization algorithms for designing the edge magnetic structure in vacuum fields, together with the vacuum vessel. First, we introduce a numerical method t…
STAR_Lite: A stellarator designed to experimentally validate non-resonant divertors
Georg Friedrich Harrer, Andrew Giuliani, Misha Padidar +3
The non-resonant divertor (NRD) offers a promising exhaust solution for stellarators, combining topological simplicity with resilience to magnetic field perturbations. To experimen…
Combination of quasi-isodynamic and piecewise omnigenous magnetic fields
J. L. Velasco, I. Calvo, V. Fernández-Pacheco +5
Due to their simultaneous optimization for radial and parallel neoclassical transport, quasi-isodynamic fields have been the main choice of stellarator magnetic configuration for m…
Diffusion for Fusion: Designing Stellarators with Generative AI
Misha Padidar, Teresa Huang, Andrew Giuliani +1
Stellarators are a prospective class of fusion-based power plants that confine a hot plasma with three-dimensional magnetic fields. Typically framed as a PDE-constrained optimizati…
Understanding Trade-offs in Stellarator Design with Multi-objective Optimization
David Bindel, Matt Landreman, Misha Padidar
In designing stellarators, any design decision ultimately comes with a trade-off. Improvements in particle confinement, for instance, may increase the burden on engineers to build…
Direct Optimization of Fast-Ion Confinement in Stellarators
David Bindel, Matt Landreman, Misha Padidar
Confining energetic ions such as alpha particles is a prime concern in the design of stellarators. However, directly measuring alpha confinement through numerical simulation of gui…
Modeling Approaches for Addressing Simple Unrelaxable Constraints with Unconstrained Optimization Methods
Misha Padidar, Jeffrey Larson, Stefan M. Wild
We explore novel approaches for solving nonlinear optimization problems with unrelaxable bound constraints, which must be satisfied before the objective function can be evaluated.…
Global Stochastic Optimization of Stellarator Coil Configurations
Silke Glas, Misha Padidar, Ariel Kellison +1
In the construction of a stellarator, the manufacturing and assembling of the coil system is a dominant cost. These coils need to satisfy strict engineering tolerances, and if thos…
Derivative-Free Optimization of a Rapid-Cycling Synchrotron
Jeffrey S. Eldred, Jeffrey Larson, Misha Padidar +2
We develop and solve a constrained optimization model to identify an integrable optics rapid-cycling synchrotron lattice design that performs well in several capacities. Our model…
Scaling Gaussian Processes with Derivative Information Using Variational Inference
Misha Padidar, Xinran Zhu, Leo Huang +2
Gaussian processes with derivative information are useful in many settings where derivative information is available, including numerous Bayesian optimization and regression tasks…
Surface Fluctuating Hydrodynamics Methods for the Drift-Diffusion Dynamics of Particles and Microstructures within Curved Fluid Interfaces
David Rower, Misha Padidar, Paul J. Atzberger
We introduce fluctuating hydrodynamics approaches on surfaces for capturing the drift-diffusion dynamics of particles and microstructures immersed within curved fluid interfaces of…