Optical, Thermal, and Detailed Statistical Parameter Study on Nanoparticles Dispersed into Liquid Crystalline Composites Using MATLAB Program
Brazilian Journal of Physics, ISSN: 1678-4448, Vol: 49, Issue: 4, Page: 508-516
2019
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Captures2
- Readers2
Article Description
The study of statistical parameters about liquid crystal (LC) phase texture gives more valuable input to understand the utility of mesogens in different applications. The investigation on LC textures of nanoparticles dispersed into liquid crystalline composites (NDLC) is experimentally analysed and correlated with theoretical studies. The metal nanoparticles ZnO, TiO, FeO, and FeO are separately dispersed into the 4-cyano 4′-propoxy-1, 1′-biphenyl (CHNO) liquid crystalline compound in the ratio 1:100. The SEM and EDAX analysis studies reveal the presence of nanoparticles in the LC compound. The optical textures and its corresponding phase transition temperatures of the NDLCs are obtained by using POM and DSC. Further, microscopic textures are analysed using specially designed MATLAB software and its statistical parameters such as mean, standard deviation, entropy, energy, and Legendre moments are computed. The noteworthy observation is that the extension of statistical parameters is used to calculate birefringence of nano liquid crystalline composites.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85067243440&origin=inward; http://dx.doi.org/10.1007/s13538-019-00670-9; http://link.springer.com/10.1007/s13538-019-00670-9; http://link.springer.com/content/pdf/10.1007/s13538-019-00670-9.pdf; http://link.springer.com/article/10.1007/s13538-019-00670-9/fulltext.html; https://dx.doi.org/10.1007/s13538-019-00670-9; https://link.springer.com/article/10.1007/s13538-019-00670-9
Springer Science and Business Media LLC
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