Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data. - Christina Doty; Shaun Gallagher; Wenqi Cui; Wenya Chen; Shweta Bhushan; Marjolein T. Oostrom; Sarah Akers; Steven R. Spurgeon (CoRR, 2021)

An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics. - Matthew J. Olszta; Derek Hopkins; Kevin R. Fiedler; Marjolein T. Oostrom; Sarah Akers; Steven R. Spurgeon (CoRR, 2021)

Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy. - Wenkai Fu; Steven R. Spurgeon; Chongmin Wang; Yuyan Shao; Wei Wang; Amra Peles (CoRR, 2022)

Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. - Sergei V. Kalinin; Debangshu Mukherjee; Kevin M. Roccapriore; Ben Blaiszik; Ayana Ghosh; Maxim A. Ziatdinov; Anees Al-Najjar; Christina Doty; Sarah Akers; Nageswara S. V. Rao; Joshua C. Agar; Steven R. Spurgeon (CoRR, 2023)

Unsupervised segmentation of irradiation-induced order-disorder phase transitions in electron microscopy. - Arman H. Ter-Petrosyan; Jenna A Bilbrey; Christina M. Doty; Bethany E. Matthews; Le Wang; Yingge Du; Eric Lang; Khalid Hattar; Steven R. Spurgeon (CoRR, 2023)

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. - Waqwoya Abebe; Jan Strube 001; Luanzheng Guo; Nathan R. Tallent; Oceane Bel; Steven R. Spurgeon; Christina Doty; Ali Jannesari (CoRR, 2024)

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. - Nathan R. Tallent; Jan Strube 001; Luanzheng Guo; Hyungro Lee; Jesun Firoz; Sayan Ghosh; Bo Fang 002; Oceane Bel; Steven R. Spurgeon; Sarah Akers; Christina Doty; Erol Cromwell (CoRR, 2024)

Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision. - Arman H. Ter-Petrosyan; Michael Holden; Jenna A Bilbrey; Sarah Akers; Christina Doty; Kayla H. Yano; Le Wang; Rajendra Paudel; Eric Lang; Khalid Hattar; Ryan B. Comes; Yingge Du; et al. (CoRR, 2024)

Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization. - Grace Guinan; Addison Salvador; Michelle A. Smeaton; Andrew Glaws; Hilary Egan; Brian C. Wyatt; Babak Anasori; Kevin R. Fiedler; Matthew J. Olszta; Steven R. Spurgeon (CoRR, 2025)

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. - Utkarsh Pratiush; Austin Houston; Kamyar Barakati; Aditya Raghavan; Dasol Yoon; Harikrishnan KP; Zhaslan Baraissov; Desheng Ma; Samuel S. Welborn; Mikolaj Jakowski; Shawn-Patrick Barhorst; Alexander J. Pattison; et al. (CoRR, 2025)