Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. - Lingfei Wu 001; Kesheng Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (CoRR, 2015)

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. - David Pugmire; James Kress; Jong Youl Choi; Scott Klasky; Tahsin M. Kurç; Michael Churchill; Matthew Wolf; Greg Eisenhauer; Hank Childs; Kesheng Wu; Alexander Sim; Junmin Gu; et al. (IPDPS Workshops, 2016)

Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers. - James Kress; Randy Michael Churchill; Scott Klasky; Mark Kim; Hank Childs; David Pugmire (Supercomput. Front. Innov., 2016)

Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. - Lingfei Wu 001; K. John Wu; Alex Sim; Michael Churchill; Jong Youl Choi; Andreas Stathopoulos; Choong-Seock Chang; Scott Klasky (IEEE Trans. Big Data, 2016)

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. - Jong Youl Choi; Jeremy Logan; Matthew Wolf; George Ostrouchov; Tahsin M. Kurç; Qing Liu 002; Norbert Podhorszki; Scott Klasky; Melissa Romanus; Qian Sun; Manish Parashar; Randy Michael Churchill; et al. (CLUSTER, 2017)

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. - Jong Youl Choi; Choong-Seock Chang; Julien Dominski; Scott Klasky; Gabriele Merlo; Eric Suchyta; Mark Ainsworth; Bryce Allen; Franck Cappello; Michael Churchill; Philip E. Davis; Sheng Di; et al. (eScience, 2018)

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. - Mark Kim; James Kress; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Kshitij Mehta; Kevin A. Huck; Berk Geveci; Sujin Phillip; Robert Maynard; Hanqi Guo 001; et al. (ISC Workshops, 2018)

Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation. - James Kress; Jong Choi 001; Scott Klasky; Michael Churchill; Hank Childs; David Pugmire (ISC Workshops, 2018)

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)

Training neural networks under physical constraints using a stochastic augmented Lagrangian approach. - Alp Dener; Marco Andres Miller; Randy Michael Churchill; Todd S. Munson; Choong-Seock Chang (CoRR, 2020)

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. - Qian Gong; Xin Liang 001; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan 001; Stéphane Ethier; Seung-Hoe Ku; Randy Michael Churchill; Choong-Seock Chang; Mark Ainsworth; Ozan Tugluk; et al. (SMC, 2021)

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. - Junmin Gu; Paul Lin; Kesheng Wu; Seung-Hoe Ku; Choong-Seock Chang; Randy Michael Churchill; Jong Choi 001; Norbert Podhorszki; Scott Klasky (CoRR, 2023)

Fast and Invertible Simplicial Approximation of Magnetic-Following Interpolation for Visualizing Fusion Plasma Simulation Data. - Congrong Ren; Robert Hager; Randy Michael Churchill; Albert Mollén; Seung-Hoe Ku; Choong-Seock Chang; Hanqi Guo 001 (Comput. Graph. Forum, 2025)

How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning. - Matt Landreman; Jong Youl Choi; Caio Alves; Prasanna Balaprakash; Randy Michael Churchill; Rory Conlin; Gareth Roberg-Clark (CoRR, 2025)