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

IF 1.4 4区 化学 Q4 CHEMISTRY, PHYSICAL Kinetics and Catalysis Pub Date : 2025-02-25 DOI:10.1134/S0023158424602687
A. A. Vakhrushev, A. V. Matveev, A. V. Nartova
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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).

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卷积神经网络在非均相催化剂x射线光电子能谱自动分析中的应用
利用卷积神经网络解决了XPS光谱的分割问题。使用机器学习模型和后处理算法的识别开发组合提供了XPS数据的快速自动分析。测定的峰的位置和面积与手工分析结果和手册值吻合较好。应用该方法分析了非均相催化剂(Pd/Al2O3和Sr2TiO4)和制备催化剂所用化合物(AgCl和TiO2)的XPS光谱。
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来源期刊
Kinetics and Catalysis
Kinetics and Catalysis 化学-物理化学
CiteScore
2.10
自引率
27.30%
发文量
64
审稿时长
6-12 weeks
期刊介绍: Kinetics and Catalysis Russian is a periodical that publishes theoretical and experimental works on homogeneous and heterogeneous kinetics and catalysis. Other topics include the mechanism and kinetics of noncatalytic processes in gaseous, liquid, and solid phases, quantum chemical calculations in kinetics and catalysis, methods of studying catalytic processes and catalysts, the chemistry of catalysts and adsorbent surfaces, the structure and physicochemical properties of catalysts, preparation and poisoning of catalysts, macrokinetics, and computer simulations in catalysis. The journal also publishes review articles on contemporary problems in kinetics and catalysis. The journal welcomes manuscripts from all countries in the English or Russian language.
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