Sarah Akers

According to our database, Sarah Akers authored at least 4 papers between 2021 and 2023.

Collaborative distances:

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

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

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

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