Mesh sensitivity in peridynamic simulations. - Steven F. Henke; Sachin Shanbhag (Comput. Phys. Commun., 2014)

Deep learning at the edge enables real-time streaming ptychographic imaging. - Anakha V. Babu; Tao Zhou; Saugat Kandel; Tekin Bicer; Zhengchun Liu; William Judge; Daniel J. Ching; Yi Jiang; Sinisa Veseli; Steven Henke; Ryan Chard; Yudong Yao; et al. (CoRR, 2022)

AI-assisted automated workflow for real-time x-ray ptychography data analysis via federated resources. - Anakha V. Babu; Tekin Bicer; Saugat Kandel; Tao Zhou; Daniel J. Ching; Steven Henke; Sinisa Veseli; Ryan Chard; Antonino Miceli; Mathew Joseph Cherukara (High Performance Computing for Imaging, 2023)

Empowering Scientific Discovery Through Computing at the Advanced Photon Source. - Hannah Parraga; John Hammonds; Steven Henke; Sinisa Veseli; William E. Allcock; Benoît Côté; Ryan Chard; Suresh Narayanan; Nicholas Schwarz (SC Workshops, 2023)

Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing. - Sinisa Veseli; John Hammonds; Steven Henke; Hannah Parraga; Nicholas Schwarz (SC Workshops, 2023)

Portable Cross-Facility Workflows for X-ray Ptychography. - Albert Vong; Steven F. Henke; Oliver Hoidn; Hannah Parraga; Tao Zhou; Apurva Mehta; Nicholas Schwarz (SC Workshops, 2024)

Predicting ptychography probe positions using single-shot phase retrieval neural network. - Ming Du; Tao Zhou; Junjing Deng; Daniel J. Ching; Steven Henke; Mathew J. Cherukara (CoRR, 2024)