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Computational Modelling of the Formation and Stability of Supported Particles of Catalytic Importance

Computational Modelling of the Formation and Stability of Supported Particles of Catalytic Importance
具有催化重要性的负载颗粒的形成和稳定性的计算模型
批准号:
EP/P005845/1
负责人:
Alberto Roldan Martinez
金额:
$12.66万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

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中文摘要
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英文摘要
Since modern society demands a higher quality of life base on efficient technology and clean energy, contemporary scientists focus on new materials with particular properties performing under environmental friendly conditions. Structures of less than 100 nano-meters in size present different properties from those of bulk materials. This scale has opened new research boundaries in a growing field, with wide-ranging implications. For example, current industries use nano-materials during the fabrication of a large number of everyday-products. In chemical industries these fine particles are commonly dispersed metals on support materials reducing the cost and waste yields during product manufacture. However, scientists follow primarily a ''mix and try'' approach for the synthesis because of the complexity of the formation process and stability nano-structures, which are affected by multiple parameters, such as temperature, pressure and metal precursor. Particle performance is dependent on their size and shape. Therefore we aim to identify computationally the thermodynamic and kinetic descriptors affecting the growth and stability of metal particles supported on specific surfaces. This project will allow us to unravel the effects of the support, the metal and the size of nano-particles while considering e.g. particles shape and diffusion across the surface, which will help to understand processes such as sintering and deactivation of the catalyst under working conditions. In particular, we propose to combine a number of late transition metals with well-characterised surfaces because of their importance in industrial catalysis and the extensive experimental data available. The first goal of this challenging task is to understand the mechanism needed to build stable clusters from where the particle will grow. We will study the particles' interaction and diffusion on the surface and the feasibility of nearby particles to agglomerate. The second major goal is to identify the parameters modifying the growth processes along particular directions leading to different particle shapes such as sheets, wires, flakes. The reactivity of these structures will also be evaluated against common molecules such as molecular oxygen and water as both are present in oxidation reactions and in energy harvesting systems. The activity towards the activation and dissociation of molecular oxygen is important for reducing industrial waste related with oxidation processes. The last goal is to combine the previous results in a kinetic model to predict a durable nano-structure with applications in industry and energy technologies.We will carry out this investigation in an effective and reliable way by combining a range of informatics tools which provide atomic-level resolution of the nano-structures and the supporting surface with accurate details e.g. oxidation state of the metal at the interface with the support. The combinations of these computational methods will allow us to study the factors controlling nucleation, growth and the shape of the supported metallic particles. The results will be validated by our experimental partners in the Cardiff Catalysis Institute and at the UK Catalysis Hub. With the success of this innovative research, we will provide detailed understanding of the parameters controlling the sintering of supported structures leading to undesirable properties e.g. loss of catalytic performance. The knowledge derived from this research is applicable to many chemical industries and academic researchers. We will disseminate the work across a wide range of fields. Within Cardiff Catalysis Institute and the assistance provided by association with the UK Catalysis Hub, we will outreach and engage the public which will be of importance in a project on such a topical theme.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1098/rsta.2020.0056
发表时间: 2020-07
期刊: Philosophical Transactions of the Royal Society A
影响因子: --
作者: [Fabian Morteo-Flores;Julien Engel;A. Roldan]
通讯作者: Fabian Morteo-Flores;Julien Engel;A. Roldan
Symmetry analysis of irregular objects
不规则物体的对称性分析
DOI: 10.1007/s10910-022-01423-x
发表时间: 2022
期刊: Journal of Mathematical Chemistry
影响因子: 1.7
作者: [Beevers C]
通讯作者: Beevers C
DOI: 10.1016/j.apsusc.2021.151317
发表时间: 2022-01
期刊: Applied Surface Science
影响因子: 6.7
作者: [Samantha Francis;A. Boucher;Glenn Jones;A. Roldan]
通讯作者: Samantha Francis;A. Boucher;Glenn Jones;A. Roldan
Numerical data and further representations on descriptors correlation from Biomass hydrodeoxygenation catalysts innovation from atomistic activity predictors
原子活性预测的生物质加氢脱氧催化剂创新的描述符相关性的数值数据和进一步表示
DOI: 10.6084/m9.figshare.12429290
发表时间: 2020
期刊:
影响因子: --
作者: [Morteo-Flores F]
通讯作者: Morteo-Flores F
国内基金
海外基金
Improving modelling of compact binary evolution.
  • 批准号:
    10903001
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2009
  • 负责人:
    史蒂芬
  • 依托单位: