Stability optimization of energetic particle driven modes in nuclear fusion devices: the FAR3d gyro-fluid code
The development of reduced models provide efficient methods that can be used to perform
short term experimental data analysis or narrow down the parametric range of more …
short term experimental data analysis or narrow down the parametric range of more …
Physics-constrained machine learning for electrodynamics without gauge ambiguity based on Fourier transformed Maxwell's equations
C Leon, A Scheinker - Scientific Reports, 2024 - nature.com
We utilize a Fourier transformation-based representation of Maxwell's equations to develop
physics-constrained neural networks for electrodynamics without gauge ambiguity, which …
physics-constrained neural networks for electrodynamics without gauge ambiguity, which …
[HTML][HTML] Physics-constrained 3D convolutional neural networks for electrodynamics
A Scheinker, R Pokharel - APL Machine Learning, 2023 - pubs.aip.org
We present a physics-constrained neural network (PCNN) approach to solving Maxwell's
equations for the electromagnetic fields of intense relativistic charged particle beams. We …
equations for the electromagnetic fields of intense relativistic charged particle beams. We …
Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks
Modern tokamaks have achieved significant fusion production, but further progress towards
steady-state operation has been stymied by a host of kinetic and MHD instabilities. Control …
steady-state operation has been stymied by a host of kinetic and MHD instabilities. Control …
Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes
Alfvén eigenmodes (AEs) are an important and complex class of plasma dynamics
commonly observed in tokamaks and other plasma devices. In this work, we manually …
commonly observed in tokamaks and other plasma devices. In this work, we manually …
Mode structure measurements of ion cyclotron emission and sub-cyclotron modes on DIII-D
We report mode structure measurements of coherent ion cyclotron emission (ICE) and sub-
cyclotron modes on DIII-D. Through a dedicated experiment, we aimed to characterize a …
cyclotron modes on DIII-D. Through a dedicated experiment, we aimed to characterize a …
Comparison of machine learning systems trained to detect Alfvén eigenmodes using the CO2 interferometer on DIII-D
Abstract A Machine-Learning (ML) based detection scheme that automatically detects Alfvén
Eigenmodes (AE) in a labelled DIII-D database is presented here. Controlling AEs is …
Eigenmodes (AE) in a labelled DIII-D database is presented here. Controlling AEs is …
Effect of the neutral beam injector operational regime on the Alfven eigenmode saturation phase in DIII-D plasma
The aim of this study is to analyze the effect of the neutral beam injector (NBI) operation
regime on the saturation phase of the Alfven Eigenmodes (AEs) in DIII-D plasma. The …
regime on the saturation phase of the Alfven Eigenmodes (AEs) in DIII-D plasma. The …
Initial testing of Alfvén eigenmode feedback control with machine-learning observers on DIII-D
A first of its kind fully data-driven system has been developed and implemented into the DIII-
D plasma control system to detect and control Alfvén eigenmodes (AE) in real-time …
D plasma control system to detect and control Alfvén eigenmodes (AE) in real-time …
Analysis of high frequency Alfvén eigenmodes observed in ASDEX Upgrade plasmas in the presence of RF-accelerated NBI ions
R Ochoukov, S Sipilä, R Bilato, V Bobkov… - Nuclear …, 2023 - iopscience.iop.org
High frequency Alfvén eigenmodes in the ion cyclotron frequency range are actively
researched on the ASDEX Upgrade tokamak (AUG). The general properties of this particular …
researched on the ASDEX Upgrade tokamak (AUG). The general properties of this particular …