Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts

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Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts. / Vakhrushev, A. A.; Matveev, A. V.; Nartova, A. V.

в: Kinetics and Catalysis, Том 65, № 6, 25.02.2025, стр. 788-796.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{6679b7d80c954491926bf3084e20eae0,

title = "Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts",

abstract = "A convolutional neural network was used to solve the problem of segmentation of XPS spectra. The developed combination of recognition using a machine learning model and a post-processing algorithm provided fast automatic analysis of XPS data. The results of determining the positions and areas of peaks were in good agreement with both the results of manual analysis and handbook values. The proposed approach was applied to analyze the XPS spectra of heterogeneous catalysts (Pd/Al2O3 and Sr2TiO4) and chemical compounds used in the preparation of catalysts (AgCl and TiO2).",

keywords = "XPS, automatic spectral analysis, convolutional neural network, deep machine learning, heterogeneous catalysts",

author = "Vakhrushev, {A. A.} and Matveev, {A. V.} and Nartova, {A. V.}",

note = "This work was supported by the Russian Science Foundation (grant no. 24-63-00037, https://rscf.ru/project/24-63-00037/).",

year = "2025",

month = feb,

day = "25",

doi = "10.1134/S0023158424602687",

language = "English",

volume = "65",

pages = "788--796",

journal = "Kinetics and Catalysis",

issn = "0023-1584",

publisher = "Maik Nauka-Interperiodica Publishing",

number = "6",

}

RIS

TY - JOUR

T1 - Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts

AU - Vakhrushev, A. A.

AU - Matveev, A. V.

AU - Nartova, A. V.

N1 - This work was supported by the Russian Science Foundation (grant no. 24-63-00037, https://rscf.ru/project/24-63-00037/).

PY - 2025/2/25

Y1 - 2025/2/25

N2 - A convolutional neural network was used to solve the problem of segmentation of XPS spectra. The developed combination of recognition using a machine learning model and a post-processing algorithm provided fast automatic analysis of XPS data. The results of determining the positions and areas of peaks were in good agreement with both the results of manual analysis and handbook values. The proposed approach was applied to analyze the XPS spectra of heterogeneous catalysts (Pd/Al2O3 and Sr2TiO4) and chemical compounds used in the preparation of catalysts (AgCl and TiO2).

AB - A convolutional neural network was used to solve the problem of segmentation of XPS spectra. The developed combination of recognition using a machine learning model and a post-processing algorithm provided fast automatic analysis of XPS data. The results of determining the positions and areas of peaks were in good agreement with both the results of manual analysis and handbook values. The proposed approach was applied to analyze the XPS spectra of heterogeneous catalysts (Pd/Al2O3 and Sr2TiO4) and chemical compounds used in the preparation of catalysts (AgCl and TiO2).

KW - XPS

KW - automatic spectral analysis

KW - convolutional neural network

KW - deep machine learning

KW - heterogeneous catalysts

UR - https://www.mendeley.com/catalogue/b41e5baf-2441-3554-a079-9b22cdab583d/

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85218443581&origin=inward&txGid=4a33cde2c6bb7c439b0efc867685ba43

U2 - 10.1134/S0023158424602687

DO - 10.1134/S0023158424602687

M3 - Article

VL - 65

SP - 788

EP - 796

JO - Kinetics and Catalysis

JF - Kinetics and Catalysis

SN - 0023-1584

IS - 6

ER -

ID: 64901455