journal article·2021-08

Development and Deployment of Automated Machine Learning Detection in Electron Microcopy Experiments

Kevin G. Field, Ryan Jacobs, Mingen Shen, Matthew Lynch, Priyam Patki, Christopher Field, Dane Morgan

Microscopy and Microanalysis· Volume 27· Issue S1
Publisher page

Abstract

Kevin G Field, Ryan Jacobs, Mingen Shen, Matthew Lynch, Priyam Patki, Christopher Field, Dane Morgan; Development and Deployment of Automated Machine Learn
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short

Research context

OpenAlex topics: Machine Learning in Materials Science · Electron and X-Ray Spectroscopy Techniques · Advanced Electron Microscopy Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (10)

Show source-provided references
1. Tracking atomic structure evolution during directed electron beam induced Si-atom motion in graphene via deep machine learning
2. Deep Learning for Semantic Segmentation of Defects in Advanced STEM Images of Steels10.1038/s41598-019-49105-0 ↗
3. High-throughput, algorithmic determination of pore parameters from electron microscopy10.1016/j.commatsci.2019.109216 ↗
4. Automated Classification of Helium Ingress in Irradiated X-750
5. [10] Redmon, J. , Farhadi, A. , YOLOv3: An Incremental Improvement, (2018).
6. Statistical learning of governing equations of dynamics from in-situ electron microscopy imaging data10.1016/j.matdes.2020.108973 ↗
7. Automated defect analysis in electron microscopic images10.1038/s41524-018-0093-8 ↗
8. A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images10.1016/j.carbon.2020.06.086 ↗
9. Atomic resolution convergent beam electron diffraction analysis using convolutional neural networks10.1016/j.ultramic.2019.112921 ↗
10. [9] Groschner, C.K. , Choi, C. , Scott, M.C. , Methodologies for Successful Segmentation of HRTEM Images via Neural Network, (2020).