volume 14 issue 1 pages 2351-2359

Topological Data Analysis of Nanoscale Roughness in Brass Samples

Publication typeJournal Article
Publication date2021-12-25
scimago Q1
wos Q1
SJR1.921
CiteScore14.5
Impact factor8.2
ISSN19448244, 19448252
General Materials Science
Abstract
Rough surfaces possess complex topographies, which cannot be characterized by a single parameter. The selection of appropriate roughness parameters depends on a particular application. Large datasets representing surface topography possess orderliness, which can be expressed in terms of topological features in high-dimensional dataspaces reflecting properties such as anisotropy and the number of lay directions. The features are scale-dependent because both sampling length and resolution affect them. We study nanoscale surface roughness using 3 × 3, 4 × 4, and 5 × 5 pixel patches obtained from atomic force microscopy (AFM) images of brass (Cu Zn alloy) samples roughened by a sonochemical treatment. We calculate roughness parameters, correlation length, extremum point distribution, persistence diagrams, and barcodes. These parameters of interest are discussed and compared.
Found 
Found 

Top-30

Journals

1
2
Langmuir
2 publications, 15.38%
Ultrasonics Sonochemistry
1 publication, 7.69%
Journal of Tribology
1 publication, 7.69%
Surface Innovations
1 publication, 7.69%
Surface Topography: Metrology and Properties
1 publication, 7.69%
ACS Applied Engineering Materials
1 publication, 7.69%
ACS Applied Electronic Materials
1 publication, 7.69%
Materials Advances
1 publication, 7.69%
ACS Omega
1 publication, 7.69%
Applied Surface Science
1 publication, 7.69%
RSC Advances
1 publication, 7.69%
Materials Horizons
1 publication, 7.69%
1
2

Publishers

1
2
3
4
5
American Chemical Society (ACS)
5 publications, 38.46%
Royal Society of Chemistry (RSC)
3 publications, 23.08%
Elsevier
2 publications, 15.38%
ASME International
1 publication, 7.69%
Thomas Telford
1 publication, 7.69%
IOP Publishing
1 publication, 7.69%
1
2
3
4
5
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
13
Share
Cite this
GOST |
Cite this
GOST Copy
Zhukov M. et al. Topological Data Analysis of Nanoscale Roughness in Brass Samples // ACS applied materials & interfaces. 2021. Vol. 14. No. 1. pp. 2351-2359.
GOST all authors (up to 50) Copy
Zhukov M., Hasan M. S., Nesterov P., Sabbouh M., Burdulenko O., Skorb E. V., Nosonovsky M. Topological Data Analysis of Nanoscale Roughness in Brass Samples // ACS applied materials & interfaces. 2021. Vol. 14. No. 1. pp. 2351-2359.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1021/acsami.1c20694
UR - https://pubs.acs.org/doi/10.1021/acsami.1c20694
TI - Topological Data Analysis of Nanoscale Roughness in Brass Samples
T2 - ACS applied materials & interfaces
AU - Zhukov, Mikhail
AU - Hasan, Md Syam
AU - Nesterov, Pavel
AU - Sabbouh, Mirna
AU - Burdulenko, Olga
AU - Skorb, Ekaterina V.
AU - Nosonovsky, Michael
PY - 2021
DA - 2021/12/25
PB - American Chemical Society (ACS)
SP - 2351-2359
IS - 1
VL - 14
PMID - 34955026
SN - 1944-8244
SN - 1944-8252
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Zhukov,
author = {Mikhail Zhukov and Md Syam Hasan and Pavel Nesterov and Mirna Sabbouh and Olga Burdulenko and Ekaterina V. Skorb and Michael Nosonovsky},
title = {Topological Data Analysis of Nanoscale Roughness in Brass Samples},
journal = {ACS applied materials & interfaces},
year = {2021},
volume = {14},
publisher = {American Chemical Society (ACS)},
month = {dec},
url = {https://pubs.acs.org/doi/10.1021/acsami.1c20694},
number = {1},
pages = {2351--2359},
doi = {10.1021/acsami.1c20694}
}
MLA
Cite this
MLA Copy
Zhukov, Mikhail, et al. “Topological Data Analysis of Nanoscale Roughness in Brass Samples.” ACS applied materials & interfaces, vol. 14, no. 1, Dec. 2021, pp. 2351-2359. https://pubs.acs.org/doi/10.1021/acsami.1c20694.