Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials-Reference-Cited by-同舟云学术

Deep neural network analysis of nanoparticle ordering to identify defects in layered carbon materials

Published:2021 Issue: Volume: Page:
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Boiko Daniil A.¹²³⁴^ORCID,Pentsak Evgeniy O.¹²³⁴^ORCID,Cherepanova Vera A.¹²³⁴,Gordeev Evgeniy G.¹²³⁴^ORCID,Ananikov Valentine P.¹²³⁴^ORCID

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

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Top 20 influential AI-based technologies in chemistry;Artificial Intelligence Chemistry;2024-12

2. Well-defined high entropy-metal nanoparticles: Detection of the multi-element particles by deep learning;Journal of Energy Chemistry;2024-11

3. Determining the orderliness of carbon materials with nanoparticle imaging and explainable machine learning;Nanoscale;2024

4. Symposium on chemistry of alkynes, allenes and small cycles;Журнал органической химии;2023-12-15

5. Symposium on the Chemistry of Alkynes, Allenes, and Small Rings;Russian Journal of Organic Chemistry;2023-12