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 …

The applications of exchange coupled bi-magnetic hard/soft and soft/hard ferromagnetic
core/shell nanoparticles are reviewed. After a brief description of the main synthesis …

Herein, we demonstrate that meticulous and in-depth analysis of the reaction mechanisms of
nanoparticle formation is rewarded by full control of the size, shape, and crystal structure of …

Using electron tomography combined with electron energy loss spectroscopy (EELS), we
are able to map the valency of the Ce ions in CeO2–x nanocrystals in three dimensions. Our …

The resolution limit of scanning transmission electron microscopy (STEM) has now reached
atomic resolution. Further, owing to its flexible multi-channel imaging and powerful spectral …

Multivariate analysis is a powerful tool to process spectrum imaging datasets of electron
energy loss spectroscopy. Most spatial variance of the datasets can be explained by a …

Abstract Machine Learning (ML) strategies applied to Scanning and conventional
Transmission Electron Microscopy have become a valuable tool for analyzing the large …

The physicochemical properties used in numerous advanced nanostructured devices are
directly controlled by the oxidation states of their constituents. In this work we combine …

We present a tomography technique which couples scanning transmission electron
microscopy (STEM) and X-ray energy dispersive spectrometry (XEDS) to resolve 3D …

Hierarchical density-based spatial clustering of applications with noise (HDBSCAN) and
uniform manifold approximation and projection (UMAP), two new state-of-the-art algorithms …