Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts Full article
| Journal |
Kinetics and Catalysis
ISSN: 0023-1584 , E-ISSN: 1608-3210 |
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| Output data | Year: 2024, Volume: 65, Number: 6, Pages: 788–796 Pages count : 9 DOI: 10.1134/S0023158424602687 | ||||
| Tags | deep machine learning, XPS, automatic spectral analysis, convolutional neural network, heterogeneous catalysts | ||||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Russian Science Foundation | 24-63-00037 |
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).
Cite:
Vakhrushev A.A.
, Matveev A.V.
, Nartova A.V.
Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts
Kinetics and Catalysis. 2024. V.65. N6. P.788–796. DOI: 10.1134/S0023158424602687 WOS Scopus РИНЦ AN OpenAlex
Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts
Kinetics and Catalysis. 2024. V.65. N6. P.788–796. DOI: 10.1134/S0023158424602687 WOS Scopus РИНЦ AN OpenAlex
Dates:
| Submitted: | Oct 6, 2024 |
| Published print: | Dec 1, 2024 |
| Accepted: | Dec 3, 2024 |
Identifiers:
| Web of science: | WOS:001432561900008 |
| Scopus: | 2-s2.0-85218443581 |
| Elibrary: | 80381333 |
| Chemical Abstracts: | 2025:474202 |
| OpenAlex: | W4407893965 |
Citing:
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