Suppr超能文献

用于快速水离解的MoNi/MoO@Ni电催化体系的3D形态和结构的多尺度显微镜研究

Multi-scale microscopy study of 3D morphology and structure of MoNi/MoO@Ni electrocatalytic systems for fast water dissociation.

作者信息

Zschech Ehrenfried, Topal Emre, Kutukova Kristina, Gluch Jürgen, Löffler Markus, Werner Stephan, Guttmann Peter, Schneider Gerd, Liao Zhongquan, Timoshenko Janis

机构信息

deepXscan GmbH, Dresden, Germany; Faculty of Chemistry, University of Warsaw, Warsaw, Poland.

Fraunhofer Institute for Ceramic Technologies and Systems, Dresden, Germany; Dresden Center for Nanoanalysis, Center for Advancing Electronics Dresden, Technische Universität Dresden, Dresden, Germany.

出版信息

Micron. 2022 Jul;158:103262. doi: 10.1016/j.micron.2022.103262. Epub 2022 Mar 30.

Abstract

The 3D morphology of hierarchically structured electrocatalytic systems is determined based on multi-scale X-ray computed tomography (XCT), and the crystalline structure of electrocatalyst nanoparticles is characterized using transmission electron microscopy (TEM), supported by X-ray diffraction (XRD) and spatially resolved near-edge X-ray absorption fine structure (NEXAFS) studies. The high electrocatalytic efficiency for hydrogen evolution reaction (HER) of a novel transition-metal-based material system - MoNi electrocatalysts anchored on MoO cuboids aligned on Ni foam (MoNi/MoO@Ni) - is based on advantageous crystalline structures and chemical bonding. High-resolution TEM images and selected-area electron diffraction patterns are used to determine the crystalline structures of MoO and MoNi. Multi-scale XCT provides 3D information of the hierarchical morphology of the MoNi/MoO@Ni material system nondestructively: Micro-XCT images clearly resolve the Ni foam and the attached needle-like MoO micro cuboids. Laboratory nano-XCT shows that the MoO micro cuboids with a rectangular cross-section of 0.5 × 1 µm and a length of 10-20 µm are vertically arranged on the Ni foam. MoNi nanoparticles with a size of 20-100 nm, positioned on single MoO cuboids, were imaged using synchrotron radiation nano-XCT. The application of a deep convolutional neural network (CNN) significantly improves the reconstruction quality of the acquired data.

摘要

基于多尺度X射线计算机断层扫描(XCT)确定分层结构电催化系统的三维形态,并使用透射电子显微镜(TEM)对电催化剂纳米颗粒的晶体结构进行表征,辅以X射线衍射(XRD)和空间分辨近边X射线吸收精细结构(NEXAFS)研究。一种新型过渡金属基材料体系——锚定在泡沫镍上排列的MoO长方体上的MoNi电催化剂(MoNi/MoO@Ni)对析氢反应(HER)具有高电催化效率,这基于其有利的晶体结构和化学键。高分辨率TEM图像和选区电子衍射图案用于确定MoO和MoNi的晶体结构。多尺度XCT无损提供MoNi/MoO@Ni材料体系分层形态的三维信息:微观XCT图像清晰分辨出泡沫镍和附着的针状MoO微长方体。实验室纳米XCT显示,横截面为0.5×1 µm、长度为10 - 20 µm的矩形MoO微长方体垂直排列在泡沫镍上。使用同步辐射纳米XCT对位于单个MoO长方体上、尺寸为20 - 100 nm的MoNi纳米颗粒进行成像。深度卷积神经网络(CNN)的应用显著提高了采集数据的重建质量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验