Massively parallel X-ray scattering simulations. - Abhinav Sarje; Xiaoye S. Li; Slim Chourou; Elaine R. Chan; Alexander Hexemer (SC, 2012)

Tuning HipGISAXS on Multi and Many Core Supercomputers. - Abhinav Sarje; Xiaoye S. Li; Alexander Hexemer (PMBS@SC, 2013)

High-Performance Inverse Modeling with Reverse Monte Carlo Simulations. - Abhinav Sarje; Xiaoye S. Li; Alexander Hexemer (ICPP, 2014)

Workflow management for real-time analysis of lightsource experiments. - Jack Deslippe; Abdelilah Essiari; Simon J. Patton; Taghrid Samak; Craig E. Tull; Alexander Hexemer; Dinesh Kumar; Dilworth Parkinson; Polite Stewart (WORKS@SC, 2014)

Convolutional neural networks at the interface of physical and digital data. - Daniela Ushizima; Chao Yang 001; Singanallur V. Venkatakrishnan; Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Haoran Tang; Joao Vitor Mascarenhas; Alexander Hexemer; Dilworth Parkinson; James A. Sethian (AIPR, 2016)

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. - S. V. Venkatakrishnan 001; K. Aditya Mohan; Keith Beattie; Joaquin Correa; Eli Dart; Jack Deslippe; Alexander Hexemer; Harinarayan Krishnan; Alastair A. MacDowell; Stefano Marchesini; Simon J. Patton; Talita Perciano; et al. (Computational Imaging, 2016)

Robust X-Ray Phase Ptycho-Tomography. - Singanallur V. Venkatakrishnan; Maryam Farmand; Young-Sang Yu; Hasti Majidi; Klaus van Benthem; Stefano Marchesini; David A. Shapiro; Alexander Hexemer (IEEE Signal Process. Lett., 2016)

Reverse image search for scientific data within and beyond the visible spectrum. - Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Fátima N. S. de Medeiros; Dilworth Parkinson; Alexander Hexemer; Cláudia M. Carneiro; Daniela Mayumi Ushizima Sabino (Expert Syst. Appl., 2018)

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)

K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy. - Charles N. Melton; Marcus Michael Noack; Taisuke Ohta; Thomas E. Beechem; Jeremy Robinson; Xiaotian Zhang; Aaron Bostwick; Chris Jozwiak; Roland J. Koch; Petrus H. Zwart; Alexander Hexemer; Eli Rotenberg (Mach. Learn. Sci. Technol., 2020)

MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (XLOOP@SC, 2022)

MLExchange: A web-based platform enabling exchangeable machine learning workflows. - Zhuowen Zhao; Tanny Chavez; Elizabeth Holman; Guanhua Hao; Adam Green; Harinarayan Krishnan; Dylan McReynolds; Ronald Pandolfi; Eric J. Roberts; Petrus H. Zwart; Howard Yanxon; Nicholas Schwarz; et al. (CoRR, 2022)

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. - Guanhua Hao; Eric J. Roberts; Tanny Chavez; Zhuowen Zhao; Elizabeth Holman; Howard Yanxon; Adam Green; Harinarayan Krishnan; Daniela Ushizima; Dylan McReynolds; Nicholas Schwarz; Petrus H. Zwart; et al. (Image Processing: Algorithms and Systems, 2023)

DLSIA: Deep Learning for Scientific Image Analysis. - Eric J. Roberts; Tanny Chavez; Alexander Hexemer; Petrus H. Zwart (CoRR, 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)

Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop Annotations. - Zhuowen Zhao; Xiaoya Chong; Tanny Chavez; Alexander Hexemer (CoRR, 2024)

Optimizing inference of segmentation on high-resolution images in MLExchange. - Shizhao Lu; Tanny Chavez; Wiebke Koepp; Guanhua Hao; Petrus H. Zwart; Alexander Hexemer (J. Supercomput., 2025)