A Topological-Framework to Improve Analysis of Machine Learning Model Performance. - Henry Kvinge; Colby Wight; Sarah Akers; Scott Howland; Woongjo Choi; Xiaolong Ma; Luke J. Gosink; Elizabeth Jurrus; Keerti Kappagantula; Tegan H. Emerson (CoRR, 2021)

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 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)

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)