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Operando Electron Microscopy of Nanoparticle Surfaces and Interfaces During Catalysis

催化过程中纳米颗粒表面和界面的操作电子显微镜

基本信息

批准号：
1604971
负责人：
Peter Crozier
金额：
$ 35.03万
依托单位：
Arizona State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-08-15 至 2021-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1604971&HistoricalAwards=false
关键词：
Operando Electron Microscopy Nanoparticle Surfaces

项目摘要

The project advances transmission electron microscopy as a tool for elucidating the structure of supported metal catalysts under reaction conditions. Catalysts consisting of metal nanoparticles on oxide supports often undergo changes in structure and composition in reactive gas environments that are difficult to infer using indirect methods, thus relegating catalyst design to trial-and-error approaches. The project will exploit new developments in the field of in situ aberration corrected transmission electron microscopy, which allows catalytic conversions to be measured simultaneously with atomic resolution observations of catalyst structure, thereby opening the door to the design of more efficient catalysts for a broad range of commercially important catalytic processes.A catalyst sample holder has been developed that allows high-resolution electron microscopy to be conducted in the presence of flowing gas mixtures of the types used in commercially important reactions, especially those relevant to low-temperature hydrogen fuel cells. The simultaneous measurement of gas composition (via both a residual gas analyzer and electron energy loss measurements in the microscope) and associated imaging of catalyst structures, under both reactive and non-reactive conditions, will allow the construction of a database of catalyst images that can be related to catalyst activity. Emphasis will be placed on reactions such as CO oxidation, water-gas shift, and CO preferential oxidation on Cu or Pt nanoparticles supported on cerium dioxide. Those systems are believed to involve concerted reactions at the nanoparticle-support interface; hence, special attention will be directed to obtaining images of the structural motifs associated with the interfacial regions. For comparison, corresponding experiments will be run on the same metal particles loaded on non-interactive supports. It is anticipated that the database of images will provide valuable information to guide the development of more accurate models of catalyst structures under working catalyst conditions, improved computational models of catalytic sites and associated reaction mechanisms, and information needed to predict more active metal-support combinations. The project will also involve a comprehensive set of educational and outreach efforts designed to excite students at all levels in scientific opportunities associated with electron microscopy.

该项目将透射电子显微镜作为一种工具，用于阐明反应条件下负载金属催化剂的结构。由氧化物载体上的金属纳米颗粒组成的催化剂通常在反应性气体环境中经历结构和组成的变化，这些变化难以使用间接方法推断，因此将催化剂设计降级为试错法。该项目将利用原位像差校正透射电子显微镜领域的新发展，这使得催化转化率的测量与催化剂结构的原子分辨率观察同时进行，从而为设计用于广泛的商业上重要的催化过程的更有效的催化剂打开了大门。在商业上重要的反应，特别是与低温氢燃料电池有关的反应中使用的流动气体混合物的存在下进行的分辨率电子显微镜检查。在反应性和非反应性条件下，气体组成的同时测量（通过残余气体分析仪和显微镜中的电子能量损失测量）和催化剂结构的相关成像将允许构建可以与催化剂活性相关的催化剂图像的数据库。重点将放在反应，如CO氧化，水煤气变换，和CO的优先氧化铜或铂纳米粒子支持二氧化铈。这些系统被认为涉及协同反应的纳米粒子支持界面，因此，特别注意将被引导到获得与界面区域相关的结构图案的图像。为了进行比较，将在装载在非相互作用载体上的相同金属颗粒上进行相应的实验。预计图像数据库将提供有价值的信息，以指导在工作催化剂条件下更精确的催化剂结构模型的开发，催化位点和相关反应机理的改进的计算模型，以及预测更活性的金属-载体组合所需的信息。该项目还将涉及一套全面的教育和推广工作，旨在激发各级学生参与与电子显微镜相关的科学机会。

项目成果

期刊论文数量（22）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Probing Response and Functionality in Active Materials Systems with In Situ Electron Microscopy

使用原位电子显微镜探测活性材料系统的响应和功能

DOI：
10.1017/s1431927622001520
发表时间：
2022
期刊：
Microscopy and Microanalysis
影响因子：
2.8
作者：
Crozier, Peter A.
通讯作者：
Crozier, Peter A.

In-situ TEM Study of Oxygen Surface Exchange on Ceria, Gd-doped Ceria and Pr-doped Ceria

二氧化铈、掺钆氧化铈和掺镨氧化铈氧表面交换的原位TEM研究

DOI：
10.1017/s1431927621008102
发表时间：
2021
期刊：
Microscopy and Microanalysis
影响因子：
2.8
作者：
Tan, Mai;Crozier, Peter;Vincent, Joshua
通讯作者：
Vincent, Joshua

Unsupervised Deep Video Denoising

DOI：
10.1109/iccv48922.2021.00178
发表时间：
2020-11
期刊：
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
影响因子：
0
作者：
D. Y. Sheth;S. Mohan;Joshua L. Vincent;R. Manzorro;P. Crozier;Mitesh M. Khapra;Eero P. Simoncelli
通讯作者：
D. Y. Sheth;S. Mohan;Joshua L. Vincent;R. Manzorro;P. Crozier;Mitesh M. Khapra;Eero P. Simoncelli

Atom Detection in Time-resolved TEM Image Series: Application of Computer Vision Techniques to Noise-degraded Frames

时间分辨 TEM 图像系列中的原子检测：计算机视觉技术在噪声退化帧中的应用

DOI：
10.1017/s1431927621008011
发表时间：
2021
期刊：
Microscopy and Microanalysis
影响因子：
2.8
作者：
Manzorro, Ramon;Xu, Yuchen;Vincent, Joshua;Rivera, Roberto;Matteson, David;Crozier, Peter
通讯作者：
Crozier, Peter

A Deep Learning Approach to Retrieving 3D Structure Information from High Resolution Time-Resolved TEM Images

从高分辨率时间分辨 TEM 图像中检索 3D 结构信息的深度学习方法

DOI：
10.1017/s1431927621002154
发表时间：
2021
期刊：
Microscopy and Microanalysis
影响因子：
2.8
作者：
Manzorro, Ramon;Leibovich, Matan;Vincent, Joshua;Mohan, Sreyas;Matteson, David;Fernandez-Granda, Carlos;Crozier, Peter
通讯作者：
Crozier, Peter