Vol. 11, No 2: 78–84.

Computer and Information Sciences

2026

Scientific article

UDK 538.9

pdf-version

Dmitry S. Kulikov
master's degree, Petrozavodsk State University
(Petrozavodsk, Russia),
dima23030202@mail.ru

Automated X-ray Image Processing and Structural Modelling Using AI Methods

Scientific adviser:
Andrey I. Prusskiy
Reviewer:
Aleksandr Rogov
Paper submitted on: 05/05/2026;
Accepted on: 06/27/2026;
Published online on: 06/27/2026.
Abstract. This paper addresses automating X-ray diffraction analysis of cellulose from recycled paper, an important step in assessing recycled paper quality. The aim was to develop a Python-based toolkit for pre-processing diffractograms, calculating the degree of crystallinity, identifying impurities, and modelling sample structure. The authors employed the Savitzky–Golay filter, the AsLS method, peak approximation using a pseudo-Voigt profile, and neural network analysis. The results show a high degree of agreement between automatic and manual calculations, along with a significant reduction in processing time.
Keywords: polymers, cellulose, artificial intelligence, X-ray diffraction analysis

For citation: Kulikov, D. S. Automated X-ray Image Processing and Structural Modelling Using AI Methods. StudArctic forum. 2026, 11 (2): 78–84.

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