Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials
Author:
Affiliation:
1. Zelinsky Institute of Organic Chemistry
2. Russian Academy of Sciences
3. Moscow 119991
4. Russia
Abstract
Defectiveness of carbon material surface is a key issue for many applications. Pd-nanoparticle SEM imaging was used to highlight “hidden” defects and analyzed by neural networks to solve order/disorder classification and defect segmentation tasks.
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2021/SC/D0SC05696K
Reference82 articles.
1. 3D Graphene Materials: From Understanding to Design and Synthesis Control
2. S. M.Whittingha , Intercalation Chemistry , Academic Press , 2012
3. Biological and chemical sensors based on graphene materials
4. Mechanical properties of graphene and graphene-based nanocomposites
5. Thermal properties of graphene and nanostructured carbon materials
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