Artifact Identification in X-ray Diffraction Data using Machine Learning Methods. - Howard Yanxon; James Weng; Hannah Parraga; Wenqian Xu; Uta Ruett; Nicholas Schwarz (CoRR, 2022)

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)

Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. - Michael H. Prince; Doga Gürsoy; Dina Sheyfer; Ryan Chard; Benoît Côté; Hannah Parraga; Barbara Frosik; Jonathan Z. Tischler; 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)

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images. - Howard Yanxon; Eric J. Roberts; Hannah Parraga; James Weng; Wenqian Xu; Uta Ruett; Alexander Hexemer; Petrus H. Zwart; Nicholas Schwarz (CoRR, 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)