Scalable Earthquake Simulation on Petascale Supercomputers. - Yifeng Cui; Kim B. Olsen; Thomas H. Jordan; Kwangyoon Lee; Jun Zhou 008; Patrick Small; Daniel Roten; Geoffrey Ely; Dhabaleswar K. Panda 001; Amit Chourasia; John M. Levesque; Steven M. Day; et al. (SC, 2010)

High-frequency nonlinear earthquake simulations on petascale heterogeneous supercomputers. - Daniel Roten; Yifeng Cui; Kim B. Olsen; Steven M. Day; Kyle Withers; William H. Savran; Peng Wang; Dawei Mu (SC, 2016)

Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction. - Daniel Roten; Jessica Block; Daniel Crawl; Jenny Lee; Ilkay Altintas (IEEE Big Data, 2022)

Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. - Ivannia Gomez Moreno; Isaac Nealey; Daniel Roten; Mai H. Nguyen; Daniel Crawl; Kate O'Laughlin; Melissa Floca; Scott Pokswinski; Ilkay Altintas (e-Science, 2023)

TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. - Daniel Roten; Lucas A. Wells; Daniel Crawl; Russell Parsons; Anthony Marcozzi; Rodman R. Linn; John Kevin Hiers; Ilkay Altintas (e-Science, 2023)