Exploring Amorphous Alloys: Advanced Electron Microscopy and Cluster Analysis
- Авторлар: Sileshi D.1, Pustovalov E.V.1, Fedorets A.N.1, Frolov A.M.1
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Мекемелер:
- Far Eastern Federal University
- Шығарылым: Том 11, № 1 (2024)
- Беттер: 112-120
- Бөлім: MATHEMATICAL AND SOFTWARE OF COMPUTЕRS, COMPLEXES AND COMPUTER NETWORKS
- URL: https://journals.eco-vector.com/2313-223X/article/view/631296
- DOI: https://doi.org/10.33693/2313-223X-2024-11-1-112-120
- ID: 631296
Дәйексөз келтіру
Аннотация
In this study, we explored the atomic structure and orderliness of amorphous alloys through advanced electron microscopy and analytical techniques. Amorphous alloys, characterized by disordered atomic structures, exhibit promising applications in technology. The research addresses a crucial knowledge gap by investigating cluster distribution, particle arrangement, and orderliness within the amorphous matrix. High-resolution electron microscopy (HREM) images are analyzed using diverse algorithms and software tools. The study establishes a correlation between angles approaching 180 degrees and increased orderliness within clusters, highlighting the reliability of angle distribution analysis. Robust indicators, including Div (SP(B/V)) and Div (Mu(B/V)) metrics, assess and compare amorphous alloy samples. Kullback–Leibler (K-L) divergence indicates the significance of cluster ordering, validated by the S-K test. Radial Distribution Function (RDF) analysis uncovers local short-range order, deepening understanding despite limited orderliness discernment. These findings not only enhance our understanding of metallic glasses or amorphous alloys but also offer opportunities for tailored design and improved applications across various technological domains.
Толық мәтін
Авторлар туралы
Dilla Dagim Sileshi
Far Eastern Federal University
Хат алмасуға жауапты Автор.
Email: dilla.d@dvfu.ru
ORCID iD: 0000-0002-9100-1257
PhD student, Institute of Mathematics and Computer Technologies, research engineer, Electron Microscopy and Imaging Laboratory
Ресей, VladivostokEvgeniy Pustovalov
Far Eastern Federal University
Email: pustovalov.ev@dvfu.ru
ORCID iD: 0000-0003-1036-3975
Dr. Sci. (Phys.-Math.), Professor, Department of Information and Computer Systems, Institute of Mathematics and Computer Technologies, Head of the educational program 09.03.02 “Information systems and technologies”, profile “Programming of robotic systems”
Ресей, VladivostokAlexander Fedorets
Far Eastern Federal University
Email: fedorec.an@dvfu.ru
ORCID iD: 0000-0001-9007-3171
senior lecturer, Department of Information and Computer Systems, Institute of Mathematics and Computer Technologies
Ресей, VladivostokAnatoliy Frolov
Far Eastern Federal University
Email: frolov.am@dvfu.ru
ORCID iD: 0000-0002-5368-5694
Dr. Sci. (Phys.-Math.), associate professor, Department of Information and Computer Systems, Institute of Mathematics and Computer Technologies
Ресей, VladivostokӘдебиет тізімі
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