Dynamic particle system for mesh extraction on the GPU. - Mark Kim; Guoning Chen; Charles D. Hansen (GPGPU@ASPLOS, 2012)

Direct Feature Visualization Using Morse-Smale Complexes. - Attila Gyulassy; Natallia Kotava; Mark Kim; Charles D. Hansen; Hans Hagen; Valerio Pascucci (IEEE Trans. Vis. Comput. Graph., 2012)

Surface flow visualization using the closest point embedding. - Mark Kim; Charles D. Hansen (PacificVis, 2015)

GPU surface extraction using the closest point embedding. - Mark Kim; Charles D. Hansen (Visualization and Data Analysis, 2015)

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)

Exacution: Enhancing Scientific Data Management for Exascale. - Scott Klasky; Eric Suchyta; Mark Ainsworth; Qing Liu 002; Ben Whitney; Matthew Wolf; Jong Youl Choi; Ian T. Foster; Mark Kim; Jeremy Logan; Kshitij Mehta; Todd S. Munson; et al. (ICDCS, 2017)

In Situ Visualization of Radiation Transport Geometry. - Mark Kim; Tom Evans; Scott Klasky; David Pugmire (ISAV@SC, 2017)

Closest Point Sparse Octree for Surface Flow Visualization. - Mark Kim; Charles D. Hansen (Visualization and Data Analysis, 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)

Dense Texture Flow Visualization using Data-Parallel Primitives. - Mark Kim; Scott Klasky; David Pugmire (EGPGV@EuroVis, 2018)

Performance-Portable Particle Advection with VTK-m. - David Pugmire; Abhishek Yenpure; Mark Kim; James Kress; Robert Maynard; Hank Childs; Bernd Hentschel 001 (EGPGV@EuroVis, 2018)

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. - Scott Klasky; Matthew Wolf; Mark Ainsworth; Chuck Atkins; Jong Choi 001; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; James Kress; Tahsin M. Kurç; Qing Liu 002; et al. (ICDCS, 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)

Comparing the Efficiency of In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2019)

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (LDAV, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Opportunities for Cost Savings with In-Transit Visualization. - James Kress; Matthew Larsen; Jong Choi 001; Mark Kim; Matthew Wolf; Norbert Podhorszki; Scott Klasky; Hank Childs; David Pugmire (ISC, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

Foundation Models for Course Equivalency Evaluation. - Mark Kim; Arno Puder; Craig Hayward; Hui Yang 002 (ICDM (Workshops), 2024)

Predicting Course Transferability Using Deep Embeddings and Traditional Classifiers. - Mark Kim; Shreyas Raghuraman; Arno Puder; Craig Hayward; Hui Yang 002 (EDM, 2025)

Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options. - Lakshmi Nair; Ian Trase; Mark Kim (CoRR, 2025)