109 citations · 193 across the 7 of their papers we have counts for
4 papers · 1 filter
Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision
Arman Ter-Petrosyan, Michael Holden, Jenna A. Bilbrey +11
The development of high-performance materials for microelectronics, energy storage, and extreme environments depends on our ability to describe and direct property-defining microst…
Deep Learning for Automated Experimentation in Scanning Transmission Electron Microscopy
Sergei V. Kalinin, Debangshu Mukherjee, Kevin M. Roccapriore +9
Machine learning (ML) has become critical for post-acquisition data analysis in (scanning) transmission electron microscopy, (S)TEM, imaging and spectroscopy. An emerging trend is…
An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
Matthew Olszta, Derek Hopkins, Kevin R. Fiedler +3
Artificial intelligence (AI) promises to reshape scientific inquiry and enable breakthrough discoveries in areas such as energy storage, quantum computing, and biomedicine. Scannin…
Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
Christina Doty, Shaun Gallagher, Wenqi Cui +5
The recent growth in data volumes produced by modern electron microscopes requires rapid, scalable, and flexible approaches to image segmentation and analysis. Few-shot machine lea…