Machine learning in scanning transmission electron microscopy
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 …
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 …
and spectroscopy of materials down to atomic resolution. Recent advances in detector …
[HTML][HTML] The abTEM code: transmission electron microscopy from first principles
Simulation of transmission electron microscopy (TEM) images or diffraction patterns is often
required to interpret experimental data. Since nuclear cores dominate electron scattering …
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
Over the past several decades, electron and scanning probe microscopes have become
critical components of condensed matter physics, materials science and chemistry research …
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 …
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
Simulation of atomic-resolution image formation in scanning transmission electron
microscopy can require significant computation times using traditional methods. A recently …
microscopy can require significant computation times using traditional methods. A recently …
Advanced electron microscopy for III/V on silicon integration
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 …
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
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 …
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
AtomAI is an open-source software package bridging instrument-specific Python libraries,
deep learning, and simulation tools into a single ecosystem. AtomAI allows direct …
deep learning, and simulation tools into a single ecosystem. AtomAI allows direct …
SIM-STEM Lab: Incorporating compressed sensing theory for fast STEM simulation
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) …
acquisition speed of atomic resolution scanning transmission electron microscope (STEM) …