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- Title
Machine Learning: Machine Learning Method Reveals Hidden Strong Metal‐Support Interaction in Microscopy Datasets (Small Methods 5/2021).
- Authors
Blum, Thomas; Graves, Jeffery; Zachman, Michael J.; Polo‐Garzon, Felipe; Wu, Zili; Kannan, Ramakrishnan; Pan, Xiaoqing; Chi, Miaofang
- Abstract
Machine Learning: Machine Learning Method Reveals Hidden Strong Metal-Support Interaction in Microscopy Datasets (Small Methods 5/2021) Catalysts, electron energy loss spectroscopy, encapsulation, machine learning, scanning transmission electron microscopy Keywords: catalysts; electron energy loss spectroscopy; encapsulation; machine learning; scanning transmission electron microscopy EN catalysts electron energy loss spectroscopy encapsulation machine learning scanning transmission electron microscopy 1 1 1 05/17/21 20210501 NES 210501 In article number 2100035, Ramakrishnan Kannan, Xiaoqing Pan, Miaofang Chi, and co-workers developed a robust, unsupervised machine learning data analysis method to reveal encapsulation of metal catalysts that are otherwise overlooked in microscopy datasets.
- Subjects
MACHINE learning; ELECTRON energy loss spectroscopy; MICROSCOPY; SCANNING transmission electron microscopy
- Publication
Small Methods, 2021, Vol 5, Issue 5, p1
- ISSN
2366-9608
- Publication type
Article
- DOI
10.1002/smtd.202170020