Steven R. Spurgeon

According to our database, Steven R. Spurgeon authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Final Report for CHESS: Cloud, High-Performance Computing, and Edge for Science and Security.

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

CoRR, 2024

SAM-I-Am: Semantic Boosting for Zero-shot Atomic-Scale Electron Micrograph Segmentation.

Waqwoya Abebe, Jan Strube, Luanzheng Guo, Nathan R. Tallent, Oceane Bel, Steven R. Spurgeon, Christina Doty, Ali Jannesari

CoRR, 2024

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

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

2022

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

2021

An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics.

Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein T. Oostrom, Sarah Akers, Steven R. Spurgeon

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