Information system for analysis of nanostructure morphology
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| Publicado en: | arXiv.org (Nov 8, 2024), p. n/a |
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| Autor principal: | |
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| Publicado: |
Cornell University Library, arXiv.org
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
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| 001 | 3126804524 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3126804524 | ||
| 045 | 0 | |b d20241108 | |
| 100 | 1 | |a Khusainova, Ludia T | |
| 245 | 1 | |a Information system for analysis of nanostructure morphology | |
| 260 | |b Cornell University Library, arXiv.org |c Nov 8, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a The primary focus of this work is the automating of morphology analysis for colloidal structures, achieved through the development of the ISANM information system. The ISANM system integrates various analysis methods and is designed prioritize usability, catering primarily to users rather than developers. This paper outlines the scope of the subject area, reviews selected methods for morphology analysis, and presents the scripts developed for implementing these methods in Python. The system core is implemented in C#, utilizing the .NET Framework and the MS SQL Server, and is developed within the Microsoft Visual Studio 2019 environment on Windows 10 using the client-server architecture. The system has been deployed on a VDS server using the Ubuntu 20.04 distribution. MS SQL Server is used as the database management system. The system can be accessed at https://isanm.space. An ORCID account is required for authorization. Geometric analysis of colloidal structures is significant in applications such as photonic crystals for optoelectronics and microelectronics, functional coatings in materials science, and biosensors for medical and environmental applications. | |
| 653 | |a Data base management systems | ||
| 653 | |a Operating systems | ||
| 653 | |a Servers | ||
| 653 | |a Morphology | ||
| 653 | |a Optoelectronics | ||
| 653 | |a Medical materials | ||
| 653 | |a Windows (computer programs) | ||
| 653 | |a Photonic crystals | ||
| 653 | |a Information systems | ||
| 653 | |a Visual programming languages | ||
| 653 | |a Biosensors | ||
| 653 | |a Query languages | ||
| 700 | 1 | |a Kolegov, Konstantin S | |
| 773 | 0 | |t arXiv.org |g (Nov 8, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3126804524/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2411.05674 |