摘要
Mixing chemical pigments of basic colors to create a broad spectrum of hues is fundamental to the modern ink and coating industries. Colloidal-assembled photonic crystals offer a promising, sustainable alternative for color applications. However, due to the distinct mechanisms by which they produce color, achieving the same flexibility and consistency as pigments in commercial production has been a significant challenge. Combining colloidal particles of different sizes presents a potential solution, but the underlying mechanisms and applicability across various colloidal systems remain largely unexplored. In this study, we explore the color mixing effects of particles of different sizes in a low-viscosity matrix. Our findings show that, while the reflection colors of mixed particles depend on their average size, the brightness is influenced by both effective polydispersity and the composition of the mixtures. For particle mixtures with the same average size and polydispersity, the brightness of reflection colors varies significantly based on the number of components and their relative proportions. Remarkably, a mixture of two distinct particle sizes can achieve 3–4 times higher reflectance than a mixture of five distinct sizes, even with the same size polydispersity. Our results demonstrate how a wide range of colors can be produced using particles of several basic sizes and how their brightness and saturation can be controlled by adjusting the composition. These insights provide new strategies for color mixing in photonic crystals and may facilitate their industrial application.
邱军军
PhD
高峰
PhD
姜心雨
PhD
安童
PhD
赵其斌
副教授
我的研究关注软功能材料中的介观结构调控及其光学、热学与力学功能。我们以胶体、颗粒组装和聚合物复合体系为主要材料平台，研究剪切、弯曲、拉伸和循环形变等外部力学场如何驱动微结构重排、结晶、晶格转变与取向选择，并进一步调控材料的结构色、光谱响应、热辐射特性和力学响应。通过将软物质物理、可规模化加工和结构—性能分析相结合，研究旨在发展可编程软光子材料与功能涂层，为自适应光学表面、光热调控、传感和机械编码材料提供新的设计思路.