Multi-scale microscopy study of 3D morphology and structure of MoNi4/MoO2@Ni electrocatalytic systems for fast water dissociation
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
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 – MoNi4 electrocatalysts anchored on MoO2 cuboids aligned on Ni foam (MoNi4/MoO2@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 MoO2 and MoNi4. Multi-scale XCT provides 3D information of the hierarchical morphology of the MoNi4/MoO2@Ni material system nondestructively: Micro-XCT images clearly resolve the Ni foam and the attached needle-like MoO2 micro cuboids. Laboratory nano-XCT shows that the MoO2 micro cuboids with a rectangular cross-section of 0.5 × 1 µm2 and a length of 10–20 µm are vertically arranged on the Ni foam. MoNi4 nanoparticles with a size of 20–100 nm, positioned on single MoO2 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.
Details
Original language | English |
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Article number | 103262 |
Journal | Micron |
Volume | 158 |
Publication status | Published - Jul 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85127487085 |
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unpaywall | 10.1016/j.micron.2022.103262 |
Mendeley | 7c075467-c0d6-3012-a052-25c4a03d42b6 |
WOS | 000791264100001 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
ASJC Scopus subject areas
Keywords
- Morphology, Crystalline structure, X-ray microscopy, X-ray computed tomography, NEXAFS, TEM, Electrocatalyst, Convolutional neural network, Nexafs, Tem