我们致力于发展多组分、多级次复杂组装体的可控制备与表征新方法。从非共价键合成的角度审视分子组装,注重对组装基元、组装条件、组装过程、组装产物的全面研究,开发高效、精准的可控组装新方法——催组装;发展以微流控–核磁共振为代表的原位、实时、高分辨的组装表征新方法;在微纳尺度,研究组装体之间基于物质、能量与信息交换的通讯网络,构建仿生复杂组装系统;在宏观尺度,结合大数据与机器学习,研究基于多模态通信机制的复杂自组织系统。
We are committed to developing new controllable construction strategies and characterization methods for multicomponent and hierarchical assembly systems. From the perspective of non-covalent synthesis, we pay attention to the study of assembly moieties, conditions, process and products, develop a new efficient and accurate controllable assembly strategy – catassembly, develop in situ, real time and high resolution assembly characterization methods represented by the microfluidic NMR. In the micro and nano scale, we study the biomimetic communication network of complex assembly systems constructed via material, energy and information exchange. In the macroscopic scale, by combining big data and machine learning, we study the complex self-organization systems based on multi-mode communication mechanism.
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