activity
20192026
most citedElectron parallel closures for various ion charge numbers

7 citations · 21 across the 10 of their papers we have counts for

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14 papers · 1 filter

physics.plasm-ph2026

Towards Large-Scale Heterogeneous Data Organization for Scientific Foundation Models: A Nuclear Fusion Case Study

Nathaniel Chen, Kouroche Bouchiat, Peter Steiner +3

Training effective foundation models requires massive and organized datasets, yet scientific domains such as nuclear fusion present unique challenges due to largely heterogeneous a…

physics.plasm-ph2026

Real-time feedback control of ELM frequency using divertor gas puffing and its effects on tungsten-induced radiation and plasma performance in KSTAR

Minseok Kim, Young-Ho Lee, SangKyeun Kim +10

The edge-localized mode (ELM) frequency () was successfully controlled in real time on KSTAR using a proportional-integral (PI) feedback controller, employing a $…

physics.plasm-ph2026

Characterization of ELM Pacing via Vertical Jogs on DIII-D

Kei Yasoda, Dario Panici, Andrew Oak Nelson +3

Edge localized mode (ELM) pacing via vertical plasma oscillations or jogging has been successfully demonstrated on DIII-D. Rapid vertical movement of the plasma toward the X-point…

physics.plasm-ph2026

FPGA-Accelerated Real-Time Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference

Abhilasha Dave, Semin Joung, SangKyeun Kim +11

In this work, we demonstrate the deployment of a hardware-accelerated machine learning (ML) inference system integrated into a real-time processing at the DIII-D tokamak fusion rea…

physics.plasm-ph20262 cited

Comparison of plasma response models for RMP effects on the divertor and scrape-off layer in KSTAR

H. Frerichs, J. Van Blarcum, T. Cote +3

Resonant magnetic perturbations (RMPs) are beneficial for control of edge localized modes (ELMs) in tokamaks. Nevertheless, a side effect is the appearance of a helical striations…

physics.plasm-ph2025

FPGA-Accelerated Real-Time Beam Emission Spectroscopy Diagnostics at DIII-D Using the SLAC Neural Network Library for ML Inference

Abhilasha Dave, James Russell, Mudit Mishra +9

Achieving reliable real-time control of tokamak plasmas is essential for sustaining high-performance operation in next-generation fusion reactors. A major challenge is the accurate…