Linking formation mechanisms, nanostructure and function in metal oxide nanosheets using multimodal characterisation.
使用多峰表征将金属氧化物纳米片的形成机制、纳米结构和功能联系起来。
基本信息
- 批准号:EP/W026937/1
- 负责人:
- 金额:$ 51.36万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2023
- 资助国家:英国
- 起止时间:2023 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Solid-state materials underpin many of the advanced technologies which impact modern life, from silicon chip microprocessors to lithium-ion batteries. Great strides in advancing their performance have been achieved by understanding how the atomic structure of a material determines the properties it displays. In order to accelerate the discovery of the new materials required to address societal challenges such as climate change, the ability to design materials with desirable physical properties, and the synthetic pathways to realise them is vital. The Nobel-prize winning discovery of graphene in 2004 with its remarkable conductivity and strength has ushered in the era of nanostructured materials - materials which have at least one dimension is in the nanometer range - because of their exciting potential to display novel or improved physical properties. However, the complex and disordered atomic arrangements within nanostructured materials currently makes determining how the arrangement of atoms determines their physical properties impossible, because it falls between gaps in current structure characterisation capability. Developing tools to capture and describe nanostructure is, therefore, a crucial scientific challenge. To address this need, this proposal will develop a characterisation platform capable of understanding nanostructure in disordered layered metal oxides. Assembling a team of collaborators from academia, industry and central facilities, the proposed research will use complementary probes to develop models which capture all relevant aspects of the material's structure, from the local arrangement of atoms through to longer length-scale (tens to hundreds of nanometres) features such as pores and channels, providing a comprehensive picture to link to properties. We will then develop experiments which capture structural data when a material is placed under its operational conditions. These experiments track the changes to a material's structure with exquisite sensitivity. Analysing these data sets using our structural modelling platform will unlock the wealth of information contained within them, allowing us to (1) determine which aspects of nanostructure are responsible for a material's physical properties and (2) monitor how atoms assemble into the final layered structure in real-time, thus determining how the reaction conditions conspire to give complex structure. Together, this will deliver a set of "design rules" for obtaining materials displaying particular physical properties. We will demonstrate this approach on the material sodium trititanate, a technologically important material with potential for use as a low-cost, highly sustainable sodium-ion battery anode for grid-storage applications.In the short-term, this project will provide a step-change in the detail available about the structure of nanostructured materials and deliver new understanding of how synthetic conditions, nanostructure and functionality are interwoven. In the longer term, this methodology may have far-reaching implications for a diverse range of fields where nanostructure underpins performance - from carbon nanomaterials for drug delivery to quantum magnetism - as well as for the rational design and optimisation of energy-efficient synthetic processes.
固态材料支撑着许多影响现代生活的先进技术,从硅片微处理器到锂离子电池。通过了解材料的原子结构如何决定它所显示的性质,在提高它们的性能方面取得了很大的进步。为了加速发现应对气候变化等社会挑战所需的新材料,设计具有理想物理性能的材料以及实现这些材料的合成途径的能力至关重要。2004年,诺贝尔奖获得者石墨烯的发现,以其非凡的导电性和强度,开启了纳米结构材料的时代-至少一维的材料在纳米范围内-因为它们具有展示新的或改进的物理性能的令人兴奋的潜力。然而,目前纳米结构材料中复杂和无序的原子排列使得确定原子排列如何决定其物理性质是不可能的,因为它介于当前结构表征能力的差距之间。因此,开发捕捉和描述纳米结构的工具是一个关键的科学挑战。为了满足这一需求,这项提议将开发一个能够理解无序层状金属氧化物中的纳米结构的表征平台。这项拟议的研究汇集了来自学术界、工业界和中央设施的一组合作者,将使用互补的探测器来开发模型,这些模型可以捕捉材料结构的所有相关方面,从原子的局部排列到更长的长度尺度(几十到数百纳米)的特征,如孔和通道,提供了一张全面的图片来联系性质。然后,我们将开发实验,捕捉材料在其操作条件下放置时的结构数据。这些实验以极高的灵敏度跟踪材料结构的变化。使用我们的结构建模平台分析这些数据集将解锁其中包含的丰富信息,使我们能够(1)确定纳米结构的哪些方面对材料的物理性质负责,(2)实时监控原子如何组装成最终的分层结构,从而确定反应条件如何共同作用得出复杂的结构。总而言之,这将为获得显示特定物理特性的材料提供一套“设计规则”。我们将在三钛酸钠材料上演示这种方法,这是一种具有重要技术意义的材料,具有用作低成本、高度可持续的栅极应用的钠离子电池负极的潜力。在短期内,该项目将在纳米结构材料的结构细节方面提供一个阶段性的变化,并对合成条件、纳米结构和功能如何相互交织提供新的理解。从长远来看,这种方法可能对纳米结构支撑性能的各种领域--从用于药物输送的碳纳米材料到量子磁性--以及对节能合成工艺的合理设计和优化产生深远影响。
项目成果
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