Blue phase liquid crystals (BPLCs) have exhibited promising applications in 3D flexible displays due to their molecular‐level self‐assembled chiral structures, fast response, and tunable polarized colors. However, there remain challenges for spatiotemporal programming of 3D chiral color units for BPLC dynamic patterning. Herein, the programmable temporal evolution of micrometer‐scale color units and spatial configuration switch of chiral modes are achieved by spontaneous ink diffusion‐driven asymmetric lattice deformation in dual‐chiral polymer‐templated blue phases. Custom‐printed colorful patterns are designed by machine learning‐assisted parameter optimization, which displays programmable multidimensional encrypted information that incorporates temporal evolving colors (wavelength), spatial distribution (depth), chiral modes (L/R). The quantitative relationship between ink diffusion kinetics and blue‐phase dynamic 3D structural optics is established by in situ characterization, finite element analysis, and mathematical geometry modeling. This work provides insights into the microgeometric manipulation of 3D chiral color of BPLCs in the application of information security and self‐adaptive indicators.

中文翻译：

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由墨水自发扩散驱动的 3D 手性颜色单元的时空可编程性，以实现定制印刷


蓝相液晶 （BPLC） 由于其分子水平的自组装手性结构、快速响应和可调的偏振颜色，在 3D 柔性显示器中表现出有前途的应用。然而，BPLC 动态图案化的 3D 手性颜色单元的时空编程仍然存在挑战。在此，微米级颜色单位的可编程时间演变和手性模式的空间配置切换是通过双手性聚合物模板蓝色相中的自发墨水扩散驱动的不对称晶格变形来实现的。定制打印的彩色图案是通过机器学习辅助参数优化设计的，它显示可编程的多维加密信息，其中包括时间变化的颜色（波长）、空间分布（深度）、手性模式 （L/R）。墨水扩散动力学和蓝相动态 3D 结构光学之间的定量关系是通过原位表征、有限元分析和数学几何建模建立的。这项工作为 BPLC 的 3D 手性颜色的微几何操纵在信息安全和自适应指标中的应用提供了见解。