Alpha particle loss measurements and analysis in JET DT plasmas

PJ Bonofiglo, VG Kiptily, J Rivero-Rodriguez… - Nuclear …, 2024 - iopscience.iop.org
Burning reactor plasmas will be self-heated by fusion born alpha particles from deuterium-
tritium reactions. Consequently, a thorough understanding of the confinement and transport …

Experimental identification of ion cyclotron emission on HL-2A using YOLO neural network algorithm

J Zhang, J Zhao, L Liu, R Tong, W Zhong, Y Luo - Nuclear Fusion, 2024 - iopscience.iop.org
Identification of magnetohydrodynamics (MHD) instabilities with neural networks has been
extensively applied in the research of magnetically controlled fusion plasmas. Ion Cyclotron …

Initial testing of Alfvén eigenmode feedback control with machine-learning observers on DIII-D

A Rothstein, A Jalalvand, J Abbate, K Erickson… - Nuclear …, 2024 - iopscience.iop.org
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 …

Diag2Diag: Multi modal super resolution for physics discovery with application to fusion

A Jalalvand, M Curie, SK Kim, P Steiner, J Seo… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper introduces a groundbreaking multimodal neural network model designed for
resolution enhancement, which innovatively leverages inter-diagnostic correlations within a …

[图书][B] Spin Polarized Fuel and Artificial Intelligence in Fusion Energy at DIII-D

AV Garcia - 2023 - search.proquest.com
This thesis presents advances in computational modelling, analysis and techniques that can
be used to study mission critical topics in fusion. Energetic particles is an important field of …