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2020 – today
- 2024
[i6]Nathan R. Tallent, Jan Strube, Luanzheng Guo, Hyungro Lee, Jesun Firoz, Sayan Ghosh, Bo Fang, Oceane Bel, Steven R. Spurgeon, Sarah Akers, Christina Doty, Erol Cromwell:
Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security. CoRR abs/2410.16093 (2024)- [i5]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, Bethany E. Matthews, Steven R. Spurgeon:
Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision. CoRR abs/2411.09896 (2024) - 2023
- [i4]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:
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy. CoRR abs/2304.02048 (2023) - 2021
- [i3]Henry Kvinge
, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson:
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR abs/2107.04714 (2021) - [i2]Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data. CoRR abs/2107.10387 (2021) - [i1]Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon:
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics. CoRR abs/2109.14772 (2021)
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