Light-scattering determination of visco-elastic and electro-optic parameters of azo and anthraquinone dye-doped liquid crystal molecules and consistent neural network empirical physical formula construction for scattering intensities

dc.contributor.authorYildiz, Nihat
dc.contributor.authorPolat, Omer
dc.contributor.authorSan, Sait Eren
dc.contributor.authorKaya, Nihan
dc.date.accessioned2025-10-29T11:24:20Z
dc.date.issued2011
dc.departmentFakülteler, Temel Bilimler Fakültesi, Kimya Bölümü
dc.departmentFakülteler, Temel Bilimler Fakültesi, Fizik Bölümü
dc.description.abstractIn this paper, we achieved two aims. Firstly, laser light-scattering intensities in methyl red (MR) azo and disperse red (DR) anthraquinone dye-doped nematic liquid crystal (NLC) molecules were measured versus scattering angle and applied bias voltage. The following three NLC molecular structure parameters were determined: the visco-elastic constant ratios K-11/K-22 and K-33/K-22 by data-regression and Freedericksz voltages from the graphs drawn. All these NLC parameters were found to be dependent on the kind of the dye used. As the second aim, by nonlinear universal function approximator layered feedforward neural network (LFNN), we constructed explicit form of empirical physical formulas (EPFs) for theoretically unknown nonlinear azo and anthraquinone dye-doped NLC scattering intensity functions. Excellent LFNN test set (i.e. yet-to-be measured experimental data) predictions prove that the constructed LFNN-EPFs estimate unknown intensity functions consistently. The LFNN-EPFs, too, confirmed the dependency on the kind of dye used. In conclusion, physical laws embedded in the scattering data can be consistently extracted by LFNN. One significant potential application in molecular nonlinear optics domain is that these LFNN-EPFs, by various mathematical tools such as differentiation, integration, and minimization, can be used to obtain further NLC scattering intensity knowledge related molecular structural parameters. Such knowledge in turn may prove useful in developing new optical materials. (C) 2011 Elsevier B.V. All rights reserved.
dc.identifier.doi10.1016/j.molstruc.2011.02.015
dc.identifier.endpage135
dc.identifier.issn0022-2860
dc.identifier.issn1872-8014
dc.identifier.issue1-3
dc.identifier.orcid0000-0002-4797-1774
dc.identifier.orcid0000-0001-5042-4555
dc.identifier.scopus2-s2.0-79952624720
dc.identifier.scopusqualityQ1
dc.identifier.startpage127
dc.identifier.urihttps://doi.org/10.1016/j.molstruc.2011.02.015
dc.identifier.urihttps://hdl.handle.net/20.500.14854/9883
dc.identifier.volume991
dc.identifier.wosWOS:000289399500018
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Molecular Structure
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectNeural network
dc.subjectScattering intensity
dc.subjectLiquid crystal
dc.subjectNonlinear optics
dc.subjectMolecular structure
dc.titleLight-scattering determination of visco-elastic and electro-optic parameters of azo and anthraquinone dye-doped liquid crystal molecules and consistent neural network empirical physical formula construction for scattering intensities
dc.typeArticle

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