4D-STEM Mapping of Nanocrystal Reaction Dynamics and Heterogeneity in a Graphene Liquid Cell.
Chang LiuOliver LinSaran PidaparthyHaoyang NiZhiheng LyuJian-Min ZuoQian ChenPublished in: Nano letters (2024)
Chemical reaction kinetics at the nanoscale are intertwined with heterogeneity in structure and composition. However, mapping such heterogeneity in a liquid environment is extremely challenging. Here we integrate graphene liquid cell (GLC) transmission electron microscopy and four-dimensional scanning transmission electron microscopy to image the etching dynamics of gold nanorods in the reaction media. Critical to our experiment is the small liquid thickness in a GLC that allows the collection of high-quality electron diffraction patterns at low dose conditions. Machine learning-based data-mining of the diffraction patterns maps the three-dimensional nanocrystal orientation, groups spatial domains of various species in the GLC, and identifies newly generated nanocrystallites during reaction, offering a comprehensive understanding on the reaction mechanism inside a nanoenvironment. This work opens opportunities in probing the interplay of structural properties such as phase and strain with solution-phase reaction dynamics, which is important for applications in catalysis, energy storage, and self-assembly.
Keyphrases
- electron microscopy
- single cell
- low dose
- machine learning
- ionic liquid
- electron transfer
- cell therapy
- deep learning
- high dose
- stem cells
- gene expression
- optical coherence tomography
- room temperature
- artificial intelligence
- gold nanoparticles
- molecular dynamics simulations
- mesenchymal stem cells
- crystal structure
- silver nanoparticles