论文标题
使用菲涅耳衍射的单轴列液晶过渡的理论和实时研究
Theoretical and real-time study of uniaxial nematic liquid crystal phase transitions using Fresnel diffraction
论文作者
论文摘要
液晶(LCS)在现代技术中起着基本和重要作用。最近,它们还用于主动切换,自适应光学和下一代显示器,以进行增强和虚拟现实。这是由于其各个阶段的多样性以及对LCS的物理理解的日益增长的特性。我们的目标是研究一种新方法在确定这些数量的嗜热单轴列液晶(NLC)方面的适用性,尽管几乎所有理论和实验性工作都集中在更深入地了解与温度相关的自由能行为及其其他数量的更深入了解,尤其是在LC的第一阶和第二阶过渡的附近。正在讨论的方法基于相位对象的菲涅尔衍射(FD),该方法在过去二十年中发现了广泛的精确计量应用。衍射法是一种非常敏感,准确和免疫技术,可以将LCS作为温度的函数的任何变化转换为光学阶段的变化,因此,从相位步骤中,光衍射模式的可见性发生了可记录的变化。这与干涉法对比,这对环境变化非常敏感。理论研究,数值计算以及结果与实验观察结果的比较反过来表明对其他现有方法的输出非常高。正如我们将看到的那样,这种方法不仅可以通过解决其一些缺陷和缺点来加强现有方法,而且还可以将其旁边的一些缺陷和缺点来替代。
Liquid crystals (LCs) play a fundamental and significant role in modern technology. Recently, they have also been used in active switching, adaptive optics, and next-generation displays for augmented and virtual reality. This is due to the diverse properties of their various phases and the growing physical understanding of LCs. Our goal is to examine the applicability of a new method in determining these quantities for thermotropic uniaxial nematic liquid crystals (NLCs), even though nearly all theoretical and experimental efforts are focused on a deeper understanding of the temperature-dependent free energy behavior and other quantities related to it, especially in the vicinity of the first- and second-order phase transitions of LCs. The method that is being discussed is based on Fresnel diffraction (FD) from phase objects, which has found a wide range of precise metrological applications over the past two decades. Diffractometry is a very sensitive, accurate, and immune technique that can convert any change in the order of LCs as a function of temperature into a change in the optical phase and, as a result, a recordable change in the visibility of the light diffraction pattern from phase steps. This contrasts with interferometry, which is very sensitive to environmental changes. Theoretical investigations, numerical calculations, and comparisons of the results with experimental observations in turn demonstrate very high compliance with the output of other existing methods. As we will see, this method has the potential to not only strengthen existing approaches by addressing some of their flaws and shortcomings but also to take its place next to them.