ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data. - Martin Imre; Jun Han 010; Julien Dominski; Michael Churchill; Ralph Kube; Choong-Seock Chang; Tom Peterka; Hanqi Guo 001; Chaoli Wang 001 (ISVC (1), 2019)

Near real-time analysis of big fusion data on HPC systems. - Ralph Kube; Randy Michael Churchill; Jong Choi 001; Ruonan Wang; Minjun Choi; Scott Klasky; Choong-Seock Chang (UrgentHPC@SC, 2020)

Leading magnetic fusion energy science into the big-and-fast data lane. - Ralph Kube; Randy Michael Churchill; Jong Youl Choi; Ruonan Wang; Scott Klasky; CS Chang; Minjun J. Choi; Jinseop Park (SciPy, 2020)

Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. - Jong Choi 001; Ruonan Wang; Randy Michael Churchill; Ralph Kube; Minjun Choi; Jinseop Park; Jeremy Logan; Kshitij Mehta; Greg Eisenhauer; Norbert Podhorszki; Matthew Wolf; Choong-Seock Chang; et al. (SMC, 2020)

Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. - Randy Michael Churchill; Jong Choi 001; Ralph Kube; Choong-Seock Chang; Scott Klasky (SMC, 2020)

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. - Eric Suchyta; Jong Youl Choi; Seung-Hoe Ku; David Pugmire; Ana Gainaru; Kevin A. Huck; Ralph Kube; Aaron Scheinberg; Frédéric Suter; Choong-Seock Chang; Todd S. Munson; Norbert Podhorszki; et al. (CLUSTER, 2022)

Machine-Learning enabled analysis of ELM filament dynamics in KSTAR. - Cooper Jacobus; Minjun Choi; Ralph Kube (CoRR, 2022)