Large Scale Problem Solving Using Automatic Code Generation and Distributed Visualization. - Andrei Hutanu; Erik Schnetter; Werner Benger; Eloisa Bentivegna; Alex Clary; Peter Diener; Jinghua Ge; Robert Kooima; Oleg Korobkin; Kexi Liu; Frank Löffler 001; Ravi Paruchuri; et al. (Scalable Comput. Pract. Exp., 2010)

Runtime analysis tools for parallel scientific applications. - Oleg Korobkin; Gabrielle Allen; Steven R. Brandt; Eloisa Bentivegna; Peter Diener; Jinghua Ge; Frank Löffler 001; Erik Schnetter; Jian Tao (TG, 2011)

Ensuring Correctness at the Application Level: a Software Framework Approach - Eloisa Bentivegna; Gabrielle Allen; Oleg Korobkin; Erik Schnetter (CoRR, 2011)

FleCSPH: The next generation FleCSIble parallel computational infrastructure for smoothed particle hydrodynamics. - Julien Loiseau; Hyun Lim; Mark Alexander Kaltenborn; Oleg Korobkin; Christopher M. Mauney; Irina Sagert; Wesley P. Even; Benjamin K. Bergen 002 (SoftwareX, 2020)

High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. - Maliha Hossain; Balasubramanya T. Nadiga; Oleg Korobkin; Marc Louis Klasky; Jennifer L. Schei; Joshua W. Burby; Michael T. McCann; Trevor Wilcox; Soumi De; Charles A. Bouman (CoRR, 2021)

Improving Radiography Machine Learning Workflows via Metadata Management for Training Data Selection. - Mirabel Reid; Christine Sweeney; Oleg Korobkin (CoRR, 2024)

Learning physical unknowns from hydrodynamic shock and material interface features in ICF capsule implosions. - Daniel A. Serino; Evan Bell; Marc Louis Klasky; Ben S. Southworth; Balasubramanya T. Nadiga; Trevor Wilcox; Oleg Korobkin (CoRR, 2024)

Tensor-train WENO scheme for compressible flows. - Mustafa Engin Danis; Duc P. Truong; Ismael Boureima; Oleg Korobkin; Kim Ø. Rasmussen; Boian S. Alexandrov (J. Comput. Phys., 2025)