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ORCIDSteven R. Spurgeon
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2020 – today
- 2025
[j1]Utkarsh Pratiush, Austin Houston, Kamyar Barakati, Aditya Raghavan, Ralph Bulanadi, Xiangyu Yin, Samuel S. Welborn, Dasol Yoon, Harikrishnan KP, Zhaslan Baraissov, Desheng Ma, Mikolaj Jakowski, Shawn-Patrick Barhorst, Alexander J. Pattison, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang
, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin:
Mic-hackathon 2024: hackathon on machine learning for electron and scanning probe microscopy. Mach. Learn. Sci. Technol. 6(2): 40701 (2025)- [i11]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:
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization. CoRR abs/2502.18604 (2025) - [i10]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, Panayotis Manganaris, Sita Sirisha Madugula, Sai Venkata Gayathri Ayyagari, Vishal Kennedy, Ralph Bulanadi, Michelle Wang, Kieran J. Pang, Ian Addison-Smith, Willy Menacho, Horacio V. Guzman, Alexander Kiefer, Nicholas Furth, Nikola L. Kolev, Mikhail Petrov, Viktoriia Liu, Sergey Ilyev, Srikar Rairao, Tommaso Rodani, Ivan Pinto-Huguet, Xuli Chen, Josep Cruañes, Marta Torrens, Jovan Pomar, Fanzhi Su, Pawan Vedanti, Zhiheng Lyu, Xingzhi Wang, Lehan Yao, Amir Taqieddin, Forrest Laskowski, Xiangyu Yin, Yu-Tsun Shao, Benjamin Fein-Ashley, Yi Jiang, Vineet Kumar, Himanshu Mishra, Yogesh Paul, Adib Bazgir, Rama Chandra Praneeth Madugula, Yuwen Zhang, Pravan Omprakash, Jian Huang, Eric Montufar-Morales, Vivek Chawla, Harshit Sethi, Jie Huang, Lauri Kurki, Grace Guinan, Addison Salvador, Arman H. Ter-Petrosyan, Madeline Van Winkle, Steven R. Spurgeon, Ganesh Narasimha, Zijie Wu, Richard Liu, Yongtao Liu, Boris N. Slautin, Andrew R. Lupini, Rama K. Vasudevan, Gerd Duscher, Sergei V. Kalinin:
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy. CoRR abs/2506.08423 (2025) - [i9]Grace Guinan, Michelle A. Smeaton, Brian C. Wyatt, Steven Goldy, Hilary Egan, Andrew Glaws, Garritt J. Tucker, Babak Anasori, Steven R. Spurgeon:
Revealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes. CoRR abs/2511.08350 (2025) - 2024
- [i8]Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari:
SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation. CoRR abs/2404.06638 (2024) - [i7]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) - [i6]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
- [i5]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) - [i4]Arman H. Ter-Petrosyan, Jenna A Bilbrey, Christina M. Doty, Bethany E. Matthews, Le Wang, Yingge Du, Eric Lang, Khalid Hattar, Steven R. Spurgeon:
Unsupervised segmentation of irradiation-induced order-disorder phase transitions in electron microscopy. CoRR abs/2311.08585 (2023) - 2022
- [i3]Wenkai Fu, Steven R. Spurgeon, Chongmin Wang, Yuyan Shao, Wei Wang, Amra Peles:
Deep-learning-based prediction of nanoparticle phase transitions during in situ transmission electron microscopy. CoRR abs/2205.11407 (2022) - 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 J. 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)
Coauthor Index
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