Machine learning in scanning transmission electron microscopy

SV Kalinin, C Ophus, PM Voyles, R Erni… - Nature Reviews …, 2022 - nature.com
Scanning transmission electron microscopy (STEM) has emerged as a uniquely powerful
tool for structural and functional imaging of materials on the atomic level. Driven by …

Synchrotron X-ray analytical techniques for studying materials electrochemistry in rechargeable batteries

F Lin, Y Liu, X Yu, L Cheng, A Singer… - Chemical …, 2017 - ACS Publications
Rechargeable battery technologies have ignited major breakthroughs in contemporary
society, including but not limited to revolutions in transportation, electronics, and grid energy …

Four-dimensional scanning transmission electron microscopy (4D-STEM): From scanning nanodiffraction to ptychography and beyond

C Ophus - Microscopy and Microanalysis, 2019 - cambridge.org
Scanning transmission electron microscopy (STEM) is widely used for imaging, diffraction,
and spectroscopy of materials down to atomic resolution. Recent advances in detector …

Electron ptychography achieves atomic-resolution limits set by lattice vibrations

Z Chen, Y Jiang, YT Shao, ME Holtz, M Odstrčil… - Science, 2021 - science.org
Transmission electron microscopes use electrons with wavelengths of a few picometers,
potentially capable of imaging individual atoms in solids at a resolution ultimately set by the …

H2V3O8 Nanowire/Graphene Electrodes for Aqueous Rechargeable Zinc Ion Batteries with High Rate Capability and Large Capacity

Q Pang, C Sun, Y Yu, K Zhao, Z Zhang… - Advanced Energy …, 2018 - Wiley Online Library
Aqueous rechargeable zinc ion batteries are considered a promising candidate for large‐
scale energy storage owing to their low cost and high safety nature. A composite material …

Dr. Probe: A software for high-resolution STEM image simulation

J Barthel - Ultramicroscopy, 2018 - Elsevier
Abstract The Dr. Probe software for multislice simulations of STEM images is introduced, and
reference is given of the applied methods. Major program features available with the …

Towards oxide electronics: a roadmap

M Coll, J Fontcuberta, M Althammer, M Bibes… - Applied surface …, 2019 - orbit.dtu.dk
At the end of a rush lasting over half a century, in which CMOS technology has been
experiencing a constant and breathtaking increase of device speed and density, Moore's …

Deep learning of atomically resolved scanning transmission electron microscopy images: chemical identification and tracking local transformations

M Ziatdinov, O Dyck, A Maksov, X Li, X Sang, K **ao… - ACS …, 2017 - ACS Publications
Recent advances in scanning transmission electron and scanning probe microscopies have
opened exciting opportunities in probing the materials structural parameters and various …

AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy

M Ziatdinov, A Ghosh, CY Wong… - Nature Machine …, 2022 - nature.com
Over the past several decades, electron and scanning probe microscopes have become
critical components of condensed matter physics, materials science and chemistry research …

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 …