AI 中文总结
研究人员通过电子断层扫描等技术完成自组装介结构十二次准晶颗粒的完整结构测定,揭示其结构与传统假设的四面体密堆积存在偏差,提出简化堆叠模型,为软物质准晶研究提供支撑。
AI 中文摘要
准晶通过展现奇异的结构与物理化学性质,以及多样的潜在应用,革新了我们对固体有序性的理解。尽管已开发出多种理论模型与实验技术来描述准晶结构,但组成原子的局域三维(3D)排列,或团簇、胶束等次级构建单元的精确测定仍难以实现。这一挑战在自组装软物质准晶体系中尤为严峻,分子基团的复杂组装会引入额外缺陷与结构调制。本文中,我们报道了首个自组装介结构十二次准晶颗粒的完整结构测定。采用先进的电子断层扫描技术,结合专用的结构追踪与处理工作流程,提取了所有节点位点的三维坐标。该方法揭示实际结构与传统假设的四面体密堆积几何存在偏差,呈现出多样的配位环境与位移涨落。我们识别并量化了由节点交换产生的旋转共生结构,以及各类缺陷与无序,这些特征仅通过三维分析才可辨别。此外,我们提出一种简化的同构六边形模型的双层堆叠方式,用于形成十二次准晶。本研究加深了我们对软物质十二次准晶的理解,为自组装体系的详细结构阐明铺平了道路。
英文摘要
Quasicrystals have revolutionized our understanding of order in solids by demonstrating exotic structural and physicochemical properties with diverse potential applications. Despite the development of various theoretical models and experimental techniques to describe quasicrystal structures, the precise determination of local three dimensional (3D) arrangements of constituent atoms, or of secondary building units such as clusters or micelles, remains elusive. This challenge is particularly acute in self assembled soft matter quasicrystalline systems, where the complex assembly of molecular groups introduces additional defects and structural modulations. Herein, we report the first complete structural determination of self-assembled mesostructural dodecagonal quasicrystalline particles. Employing advanced electron tomography, combined with dedicated structural tracing and processing workflows, the 3D coordinates of all nodal sites were extracted. This approach reveals that the actual structure deviates from the conventionally assumed tetrahedral close packing geometry, exhibiting diverse coordination environments and displacive fluctuations. We identified and quantified rotational intergrowths arising from node exchange, as well as various defects and disorder, with these features discernible only through 3D analysis. Additionally, we propose a simplified two-layer stacking of isomorphic hexagonal model to form dodecagonal quasicrystal. This work advances our understanding of soft-matter dodecagonal quasicrystals and paves the way for detailed structural elucidation of self-assembled systems.