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 …
Deep learning in electron microscopy
JM Ede - Machine Learning: Science and Technology, 2021 - iopscience.iop.org
Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …
microscopy. This review paper offers a practical perspective aimed at developers with …
Applications of Transmission Electron Microscopy in Phase Engineering of Nanomaterials
Phase engineering of nanomaterials (PEN) is an emerging field that aims to tailor the
physicochemical properties of nanomaterials by precisely manipulating their crystal phases …
physicochemical properties of nanomaterials by precisely manipulating their crystal phases …
Differentiating polymorphs in molybdenum disulfide via electron microscopy
The presence of rich polymorphs and stacking polytypes in molybdenum disulfide (MoS2)
endows it with a diverse range of electrical, catalytic, optical, and magnetic properties. This …
endows it with a diverse range of electrical, catalytic, optical, and magnetic properties. This …
Deep Learning‐Assisted Quantification of Atomic Dopants and Defects in 2D Materials
SH Yang, W Choi, BW Cho… - Advanced …, 2021 - Wiley Online Library
Atomic dopants and defects play a crucial role in creating new functionalities in 2D transition
metal dichalcogenides (2D TMDs). Therefore, atomic‐scale identification and their …
metal dichalcogenides (2D TMDs). Therefore, atomic‐scale identification and their …
Sub-sampled imaging for STEM: Maximising image speed, resolution and precision through reconstruction parameter refinement
Sub-sampling during image acquisition in scanning transmission electron microscopy
(STEM) has been shown to provide a means to increase the overall speed of acquisition …
(STEM) has been shown to provide a means to increase the overall speed of acquisition …
Image registration of low signal-to-noise cryo-STEM data
Combining multiple fast image acquisitions to mitigate scan noise and drift artifacts has
proven essential for picometer precision, quantitative analysis of atomic resolution scanning …
proven essential for picometer precision, quantitative analysis of atomic resolution scanning …
Reducing electron beam damage through alternative STEM scanning strategies, part I: experimental findings
The highly energetic electrons in a transmission electron microscope (TEM) can alter or
even completely destroy the structure of samples before sufficient information can be …
even completely destroy the structure of samples before sufficient information can be …
Three-dimensional electron tomography and recent expansion of its applications in materials science
Electron tomography (ET) is a powerful tool for elucidating the properties and functionalities
of materials. The innovative development of aberration-corrected electron microscopy in the …
of materials. The innovative development of aberration-corrected electron microscopy in the …
Advances and Opportunities in Closed Gas-Cell Transmission Electron Microscopy
Direct in situ characterizations of the solid–fluid interface on the nanoscale can provide
profound implications for addressing bulk-scale enigmas. The advent of closed-cell …
profound implications for addressing bulk-scale enigmas. The advent of closed-cell …