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dc.contributor.authorYildiz, Nihat
dc.contributor.authorPolat, Omer
dc.contributor.authorSan, Sait Eren
dc.contributor.authorKaya, Nihan
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T10:05:43Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T10:05:43Z
dc.date.issued2011
dc.identifier.issn0022-2860
dc.identifier.issn1872-8014
dc.identifier.urihttps://dx.doi.org/10.1016/j.molstruc.2011.02.015
dc.identifier.urihttps://hdl.handle.net/20.500.12418/9561
dc.descriptionWOS: 000289399500018en_US
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.en_US
dc.language.isoengen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.isversionof10.1016/j.molstruc.2011.02.015en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeural networken_US
dc.subjectScattering intensityen_US
dc.subjectLiquid crystalen_US
dc.subjectNonlinear opticsen_US
dc.subjectMolecular structureen_US
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 intensitiesen_US
dc.typearticleen_US
dc.relation.journalJOURNAL OF MOLECULAR STRUCTUREen_US
dc.contributor.department[Yildiz, Nihat] Cumhuriyet Univ, Dept Phys, TR-58140 Sivas, Turkey -- [Polat, Omer -- San, Sait Eren] Gebze Inst Technol, Dept Phys, TR-41400 Gebze, Turkey -- [Polat, Omer] Bahcesehir Univ, Dept Sci, TR-34353 Istanbul, Turkey -- [Kaya, Nihan] Hitit Univ, Dept Chem Engn, TR-19030 Corum, Turkeyen_US
dc.contributor.authorIDPolat, Omer -- 0000-0002-4797-1774en_US
dc.identifier.volume991en_US
dc.identifier.issue01.Maren_US
dc.identifier.endpage135en_US
dc.identifier.startpage127en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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