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 …

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 …

[HTML][HTML] The abTEM code: transmission electron microscopy from first principles

J Madsen, T Susi - Open Research Europe, 2021 - ncbi.nlm.nih.gov
Simulation of transmission electron microscopy (TEM) images or diffraction patterns is often
required to interpret experimental data. Since nuclear cores dominate electron scattering …

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 …

[图书][B] Advanced computing in electron microscopy

EJ Kirkland - 1998 - Springer
Earl J. Kirkland Third Edition Earl J. Kirkland Third Edition Page 1 Earl J. Kirkland Advanced
Computing in Electron Microscopy Third Edition Earl J. Kirkland Advanced Computing in …

A streaming multi-GPU implementation of image simulation algorithms for scanning transmission electron microscopy

A Pryor, C Ophus, J Miao - Advanced structural and chemical imaging, 2017 - Springer
Simulation of atomic-resolution image formation in scanning transmission electron
microscopy can require significant computation times using traditional methods. A recently …

Advanced electron microscopy for III/V on silicon integration

A Beyer, K Volz - Advanced Materials Interfaces, 2019 - Wiley Online Library
The combination of III/V semiconductors with Si is very attractive, since it allows the
fabrication of high efficient optoelectronic devices like solar cells, lasers or the integration of …

Visualization of Light Elements using 4D STEM: The Layered‐to‐Rock Salt Phase Transition in LiNiO2 Cathode Material

S Ahmed, M Bianchini, A Pokle… - Advanced Energy …, 2020 - Wiley Online Library
The layered oxide LiNiO2 (LNO) has been extensively investigated as a cathode active
material for lithium‐ion batteries. Despite LNO's high gravimetric capacity, instability issues …

AtomAI: a deep learning framework for analysis of image and spectroscopy data in (scanning) transmission electron microscopy and beyond

M Ziatdinov, A Ghosh, T Wong, SV Kalinin - arXiv preprint arXiv …, 2021 - arxiv.org
AtomAI is an open-source software package bridging instrument-specific Python libraries,
deep learning, and simulation tools into a single ecosystem. AtomAI allows direct …

SIM-STEM Lab: Incorporating compressed sensing theory for fast STEM simulation

AW Robinson, D Nicholls, J Wells, A Moshtaghpour… - Ultramicroscopy, 2022 - Elsevier
Recently it has been shown that precise dose control and an increase in the overall
acquisition speed of atomic resolution scanning transmission electron microscope (STEM) …