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Characterization Platform for Hierarchical Structures in Smart and Multi-Functional Materials and Surfaces

Characterization Platform for Hierarchical Structures in Smart and Multi-Functional Materials and Surfaces
智能多功能材料和表面的层次结构表征平台
批准号:
RTI-2022-00326
负责人:
Naguib, Hani
金额:
$10.0万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31

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中文摘要
翻译
分层结构是一种复杂的宏观功能方法,它使用纳米结构作为基本的构建块,依靠微观热力学相互作用指导下的自组装来创建复杂的几何结构。合成的结构可以跨越从纳米到宏观的几个层级,具有先进的功能,如机械、热、电和光学特征。与传统结构相比,层次化结构具有显著的优势,因为它们具有更高的比表面积和协同作用。这使得材料具有从分子到宏观尺度的定制性能,使其适合于开发多功能智能材料。必须从分子水平到宏观水平来理解新材料的分级结构的表征。拉曼光谱是一种强大的分子分析工具,它提供了关于结晶度、分子官能团和分子相互作用的信息,这些信息是层次结构的关键驱动力。从宏观角度看,BET(Brunauer-Emmett-Teller)比表面积分析仪提供了表面和孔容的信息。与拉曼光谱和BET分析仪一起,它们为表征从纳米到宏观的分级材料提供了必要的信息。这项拟议的设备旨在支持多伦多大学及其合作研究所四个系内的研究项目“智能和多功能材料分层结构的表征平台”。这项拨款申请中要求的设备是一套材料表征套件,由拉曼光谱仪和BET表面积分析仪组成,用于研究为能源和生物医学应用开发的多功能材料和表面的分子结构。主要目标是开发技术,通过在多个长度尺度上创建高度层次化的组织来定制和优化先进的材料结构。纳米和分子结构多功能智能材料的主要应用是:智能传感、储能和生物材料。这些新的表征套件的部署可以让用户充分了解材料的表面形貌、组成和内部和外部孔隙率,并在纳米级优化最终产品的能力,使材料的固有特性在最终应用中得到充分利用。
英文摘要
Hierarchical Structuring is a complex macroscopic functional approach using nanostructures as the fundamental building blocks that relies on self-assembly, guided by microscopic thermodynamic interactions, to create complex geometries. The resultant structures can span several hierarchical levels from nano- to macro-scale, with advanced functionalities such as mechanical, thermal, electrical, and optical features. Hierarchical structures offer significant advantages over traditional structures due to their higher surface area and synergistic interactions. This allows the materials to have tailored properties from molecular to macroscopic scale, making them suitable for development of multi-functional smart materials. Characterization of hierarchical structuring of novel materials has to be understood at molecular level to macroscopic level. Raman spectroscopy is a powerful tool for molecular analysis that provides information on crystallinity, functional groups of molecules, and molecular interactions which are critical driving forces for hierarchical structure. From macroscopic perspectives, BET (Brunauer-Emmett-Teller) surface area analyzer provides information on surface and pore volume. Together with Raman spectroscopy and BET analyzer, they provide necessary information to characterize the hierarchical materials from nano- to macro-scale. This proposed equipment is intended to support the research program "Characterization Platform for Hierarchical Structures in Smart and Multi-Functional Materials" within four departments at the University of Toronto and their collaborating Institutes. The equipment requested in this grant application is a materials characterization suite consisting of a Raman Spectrometer and a BET surface area analyzer for studying the molecular structure of multi-functional materials and surfaces developed for energy and biomedical applications.The main goal is to develop techniques to tailor and optimize advanced material structures by creating highly hierarchical organization on multiple length scales. The major applications for the nano and molecular structured multi-functional smart materials are: Smart Sensing; Energy Storage; and Biomaterials. The deployment of these new characterization suite can allow users to fully understand the surface morphologies, compositions, and internal and external porosity of the material and optimize the capabilities of the final product at the nanoscale, allowing the material inherent properties to be fully utilized in the end application.
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4D Smart Materials: A Hierarchical Manufacturing Platform
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  • 依托单位:
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  • 项目类别:
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  • 资助金额:
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国内基金
海外基金
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