1 citations · 1 across the 5 of their papers we have counts for
5 papers
Designing A Buildable Optimized Stellarator to Confine Electron-Positron Plasmas
Pedro F. Gil, Jason Smoniewski, Paul Huslage +7
In this paper, the design of the the plasma equilibrium and superconducting coils for the Electrons and Positrons in an Optimized Stellarator EPOS experiment is presented. With new…
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…
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…
A Non-planar ReBCO Test Coil with 3D-printed Aluminum Support Structure for the EPOS Stellarator
Paul Huslage, Tristan Schuler, Pedro F. Gil +7
We report on the test of a small scale, non-planar coil using non-insulated ReBCO tape wound on a 3D-printed aluminum support structure. A 3D-scan of the winding frame which was pr…
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
Christian Bitter, Timo Thun, Tobias Meisen
In reinforcement learning (RL) research, simulations enable benchmarks between algorithms, as well as prototyping and hyper-parameter tuning of agents. In order to promote RL both…