Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook

M Botifoll, I Pinto-Huguet, J Arbiol - Nanoscale Horizons, 2022 - pubs.rsc.org
In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Monitoring oxygen production on mass-selected iridium–tantalum oxide electrocatalysts

YR Zheng, J Vernieres, Z Wang, K Zhang, D Hochfilzer… - Nature Energy, 2022 - nature.com
Abstract Development of low-cost and high-performance oxygen evolution reaction catalysts
is key to implementing polymer electrolyte membrane water electrolysers for hydrogen …

Restructuring of titanium oxide overlayers over nickel nanoparticles during catalysis

M Monai, K Jenkinson, AEM Melcherts, JN Louwen… - Science, 2023 - science.org
Reducible supports can affect the performance of metal catalysts by the formation of
suboxide overlayers upon reduction, a process referred to as the strong metal–support …

Atomic‐Scale Insights into the 2D Materials from Aberration‐Corrected Scanning Transmission Electron Microscopy: Progress and Future

W Sohn, M Kim, HW Jang - Small Science, 2024 - Wiley Online Library
2D crystals are attractive due to their unique atomic, electronic structures, and
physiochemical properties, which strongly rely on the synthesis conditions. The atomic …

Smart Align—a new tool for robust non-rigid registration of scanning microscope data

L Jones, H Yang, TJ Pennycook, MSJ Marshall… - Advanced Structural and …, 2015 - Springer
Many microscopic investigations of materials may benefit from the recording of multiple
successive images. This can include techniques common to several types of microscopy …

StatSTEM: An efficient approach for accurate and precise model-based quantification of atomic resolution electron microscopy images

A De Backer, KHW Van den Bos, W Van den Broek… - Ultramicroscopy, 2016 - Elsevier
An efficient model-based estimation algorithm is introduced to quantify the atomic column
positions and intensities from atomic resolution (scanning) transmission electron microscopy …

Rapid estimation of catalyst nanoparticle morphology and atomic-coordination by high-resolution Z-contrast electron microscopy

L Jones, KE MacArthur, VT Fauske… - Nano Letters, 2014 - ACS Publications
Heterogeneous nanoparticle catalyst development relies on an understanding of their
structure–property relationships, ideally at atomic resolution and in three-dimensions …

Three-dimensional quantification of the facet evolution of Pt nanoparticles in a variable gaseous environment

T Altantzis, I Lobato, A De Backer, A Béché, Y Zhang… - Nano …, 2018 - ACS Publications
Pt nanoparticles play an essential role in a wide variety of catalytic reactions. The activity of
the particles strongly depends on their three-dimensional (3D) structure and exposed facets …

Support-facet-dependent morphology of small Pt particles on ceria

H Eliasson, Y Niu, RE Palmer, H Grönbeck, R Erni - Nanoscale, 2023 - pubs.rsc.org
Direct atomic scale information on how the structure of supported nanoparticles is affected
by the metal–support interaction is rare. Using scanning transmission electron microscopy …