| With the development of science and technology,advanced testing and analysis techniques play an increasingly important role in the development of science and engineering disciplines.Mastering mainstream testing and analysis techniques,exploring the inherent connections between data,and constructing data modeling methods are essential skills for contemporary technology workers.Small-angle scattering(SAS)technology,as an important characterization method of modern analysis and testing technology,is a non-destructive analysis method.Currently,this technology has been widely used in research fields such as materials science,polymers,proteins,and pharmaceutical science.With the improvement of comprehensive national strength,the hardware level of SAS in China has reached the international mainstream level,but there is still a large gap in data processing,information mining,and the development of intelligent analysis software compared to foreign research institutions.Based on the above understanding,this study conducted a bibliometric analysis of the research hotspots,cooperation networks,and development trends in the SAS research field in the past 30 years,and developed a SAS experimental data analysis software using the Python language.The main research contents are as follows:(1)Based on the 29,553 articles(1992-2021)included in the Web of Science Core Collection database,this study used bibliometric analysis software CiteSpace and Python code to conduct quantitative and visual analysis of the statistical results.The results showed that research related to SAS is currently in a period of vigorous development,with over 8,000 articles published in just the five-year period from 2017 to 2021.Developed countries in Europe and America,as well as Japan and Russia,have a large number of publications and high intermediary centrality,indicating their strong research strength in the field of SAS and good international cooperation relations.Keyword clustering and burst analysis confirmed that current hot topics in SAS research include nanoparticles,drug delivery,macromolecules,proteins,biological solutions,interfacial phenomena,self-assembly,and in-situ experimental methods.Citation analysis showed that mainstream data analysis software in the SAS research field is currently from foreign research institutions.(2)Using an object-oriented programming approach,flexible Python language,C language,and built-in third-party libraries(such as the scientific computing library Numpy,2D plotting library Matplotlib,and data fitting library Scipy),and based on the PyCharm development platform and QT Designer interactive interface design tool,a multifunctional data analysis software(JoSAS)was developed that integrates data reading,visualization,and model fitting.The software includes multiple models such as Guiner,Beaucage,and particle size distribution,and an exception handling module was added during the development process to avoid software malfunctions during operation.The software runs on the Windows operating system and can visualize SAS experimental data and perform model fitting.(3)Using SAS data from nano-TATB columns formed by compression molding and ThO2 colloids synthesized by hydrothermal method as examples,the functions of each module of JoSAS software were verified and tested.The results showed that the software has a complete functional logic and interface interaction logic,flexible operation,can read and clean various types of SAS data,and can customize high-quality output images(in multiple formats such as JPG,TIFF,EPS,etc.)with accurate and reliable fitting results.The software has important application value in research fields such as energetic materials,polymers,and nanoparticles. |
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