Data Processing at the Linac Coherent Light Source. - Jana Thayer; Clemens Weninger; Seshu Yamajala; Sioan Zohar; Daniel Damiani; Mikhail Dubrovin; Christopher Ford; Wilko Kroeger; Christopher Paul O'Grady; Amedeo Perazzo; Murali Shankar; Matt Weaver (XLOOP@SC, 2019)

Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. - Nicholas Schwarz; Stuart Campbell; Alexander Hexemer; Apurva Mehta; Jana Thayer (SMC, 2020)

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Naoufal Layad; Jana Thayer; Ryan Herbst; et al. (XLOOP@SC, 2021)

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Ryan Herbst; Jana Thayer; Chun Hong Yoon; et al. (CoRR, 2021)

fairDMS: Rapid Model Training by Data and Model Reuse. - Ahsan Ali; Hemant Sharma; Rajkumar Kettimuthu; Peter Kenesei; Dennis Trujillo; Antonino Miceli; Ian T. Foster; Ryan N. Coffee; Jana Thayer; Zhengchun Liu (CLUSTER, 2022)

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities. - Hongwei Chen; Sathya R. Chitturi; Rajan Plumley; Lingjia Shen; Nathan C. Drucker; Nicolas Burdet; Cheng Peng 012; Sougata Mardanya; Daniel Ratner; Aashwin Mishra; Chun Hong Yoon; Sanghoon Song; et al. (XLOOP@SC, 2022)

SpeckleNN: A unified embedding for real-time speckle pattern classification in X-ray single-particle imaging with limited labeled examples. - Cong Wang; Eric Florin; Hsing-Yin Chang; Jana Thayer; Chun Hong Yoon (CoRR, 2023)

PeakNet: Bragg peak finding in X-ray crystallography experiments with U-Net. - Cong Wang; Po-Nan Li; Jana Thayer; Chun Hong Yoon (CoRR, 2023)

Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning. - Zhantao Chen; Cong Wang; Mingye Gao; Chun Hong Yoon; Jana B. Thayer; Joshua J. Turner (CoRR, 2023)

FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging. - Abhilasha Dave; Cong Wang; James Russell; Ryan Herbst; Jana Thayer (CoRR, 2025)

A Start To End Machine Learning Approach To Maximize Scientific Throughput From The LCLS-II-HE. - Aashwin Mishra; Matt Seaberg; Ryan Roussel; Frédéric Poitevin; Jana Thayer; Daniel Ratner; Auralee Edelen; Apurva Mehta (CoRR, 2025)

Physics-Guided Dual Implicit Neural Representations for Source Separation. - Yuan Ni; Zhantao Chen; Alexander N. Petsch; Edmund Xu; Cheng Peng 012; Alexander I. Kolesnikov; Sugata Chowdhury; Arun Bansil; Jana B. Thayer; Joshua J. Turner (CoRR, 2025)