Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook
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 …
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …
Three-dimensional tracking and visualization of hundreds of Pt− Co fuel cell nanocatalysts during electrochemical aging
We present an electron tomography method that allows for the identification of hundreds of
electrocatalyst nanoparticles with one-to-one correspondence before and after …
electrocatalyst nanoparticles with one-to-one correspondence before and after …
Revealing Atomic-Scale Surface Segregation, Intermixing and Internal Ordering in Fuel Cell Nanocatalysts by Aberration-Corrected Spectroscopic Imaging
To achieve the optimum catalytic activity for fuel cell nanocatalysts, the ability to control the
surface composition with atomic precision is required. Using aberration-corrected electron …
surface composition with atomic precision is required. Using aberration-corrected electron …