蓝相液晶由于其出色的电光性质在信息显示和光电子领域受到了广泛的关注，然而日益发展的信息技术对信息的传递、处理、存储速度提出了更高的要求。为了进一步强化蓝相液晶的快速电光响应优势，本文以双频向列相液晶为主体，掺杂聚合单体、手性剂、光引发剂等材料制备了聚合物稳定双频蓝相液晶，通过调节双段电压脉冲时长，实现了聚合物稳定双频蓝相液晶的快速电光调控，其电光调控的开关时间均小于500 ns。

The blue phase, which emerges between cholesteric and isotropic phases within a three-dimensional periodical superstructure, is of great significance in display and photonic applications. The crystalline orientation plays an important role in the macroscopic performance of the blue phase, where the single crystal shows higher uniformity over the polydomain and monodomain, resulting in higher Bragg reflection intensity, lower hysteresis, and lower driving voltage. However, currently reported methods of forming a single-crystal blue phase based on thermal controlling or e-beam lithography are quite time-consuming or expensive for large-scale fabrication, especially in the centimeter range, thus hindering the broad practical applications of single-crystal blue-phase-based photonic devices. Herein, a strategy to fabricate a large scale single crystalline blue-phase domain using holography lithography is proposed. Defect-free single-crystal domains both in blue phase I and blue phase II with a desired orientation of over 1 cm² are fabricated based on a nanopatterned grating with periodic homeotropic and degenerate parallel anchoring, with colors from red and green to blue. This holography lithography-assisted strategy for fabrication of a large-scale single-crystal blue phase provides a time-saving and low-cost method for a defect-free single crystalline structure, leading to broad applications in liquid crystal displays, laser devices, adaptive optics elements, and electro-optical devices.

主链型手性液晶弹性体是一类具有周期性纳米结构的软光子晶体，包括一维胆甾相液晶弹性体和三维蓝相液晶弹性体，不仅可以选择性反射圆偏振光，还能够灵敏地响应外界环境的变化，在自适应光学、变色伪装、信息加密和智能隐身等领域有着广泛的应用前景。随着新型材料体系和先进制备技术的发展，研究人员近年来提出了多种不同的策略，设计和制备具有手性纳米超结构的液晶弹性体，并深入研究了手性液晶弹性体的性能及潜在应用。本文系统综述了主链型手性液晶弹性体的设计、制备和应用进展，重点介绍了一维胆甾相液晶弹性体的平行取向法、各向异性挥发法、刮涂法、3D打印，以及无需额外取向的蓝相液晶弹性体三维纳米自组装方法，并总结讨论了主链型手性液晶弹性体存在的挑战以及未来发展方向。

随着液晶显示技术的发展，蓝相液晶由于存在诸多优点而进入研究人员的视野，并吸引着人们的持续关注，但是其在研究和实用过程中存在许多困难，例如蓝相只在很窄的温度区间内存在，所以对于蓝相液晶的快速识别和蓝相存在温度区间的快速计算就显得格外重要。本文通过机器学习算法训练得到模型，结合Labview软件可以实现液晶相态的快速识别和蓝相温域的快速读取计算，在实验过程中对159 840张样品点相态图像的整体识别准确率在93%以上。本文研究结果可以更高效识别蓝相和计算蓝相温域，更快速筛选合适的蓝相液晶配方，从而提高实验研究效率，推动蓝相液晶早日应用于显示器件。