Automated, quantitative electron tomography of dislocation morphology combined with deep learning technology

R Shen, QQ Shao, W Ming, P Xie, Q Yang - Materials Characterization, 2024 - Elsevier
The three-dimensional morphology of dislocations significantly influences the mechanical
properties of crystalline materials. Achieving high-accuracy dislocation tomography through …

TEM-based dislocation tomography: Challenges and opportunities

Z Feng, R Fu, C Lin, G Wu, T Huang, L Zhang… - Current Opinion in Solid …, 2020 - Elsevier
Dislocation tomography based on transmission electron microscopy (TEM) exhibits excellent
capabilities in three dimensional (3D) visualization of various dislocation structures but still …

Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'

K Govind, D Oliveros, A Dlouhy… - Machine Learning …, 2024 - iopscience.iop.org
Crystalline defects, such as line-like dislocations, play an important role for the performance
and reliability of many metallic devices. Their interaction and evolution still poses a multitude …

Semi-automated, object-based tomography of dislocation structures

RB Sills, DL Medlin - Microscopy and Microanalysis, 2022 - cambridge.org
The characterization of the three-dimensional arrangement of dislocations is important for
many analyses in materials science. Dislocation tomography in transmission electron …

[PDF][PDF] Basic principles and application of electron channeling in a scanning electron microscope for dislocation analysis

RJ Kamaladasa, YN Picard - Microscopy: science, technology …, 2010 - researchgate.net
Dislocations are extended defects within crystalline solids that often influence the
mechanical, electrical, magnetic and optical properties of the material. Establishing more …

[HTML][HTML] Electron tomography: An imaging method for materials deformation dynamics

S Hata, T Honda, H Saito, M Mitsuhara… - Current Opinion in Solid …, 2020 - Elsevier
The combination of in-situ and three-dimensional (3D) in transmission electron microscopy
(TEM) is one of the emerging topics of recent advanced electron microscopy research …

Extracting dislocation microstructures by deep learning

Y Zhang, AHW Ngan - International Journal of Plasticity, 2019 - Elsevier
The microstructure of dislocations can be accessed by the total density of dislocations or the
density of geometrically necessary dislocations (GND). The total dislocation density …

[HTML][HTML] Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns

J Munshi, A Rakowski, BH Savitzky… - npj Computational …, 2022 - nature.com
A fast, robust pipeline for strain mapping of crystalline materials is important for many
technological applications. Scanning electron nanodiffraction allows us to calculate strain …

[HTML][HTML] Three dimensional classification of dislocations from single projections

T Niermann, L Niermann, M Lehmann - Nature Communications, 2024 - nature.com
Many material properties are governed by dislocations and their interactions. The
reconstruction of the three-dimensional structure of a dislocation network so far is mainly …

Correlating results from high resolution EBSD with TEM-and ECCI-based dislocation microscopy: Approaching single dislocation sensitivity via noise reduction

TJ Ruggles, YSJ Yoo, BE Dunlap, MA Crimp, J Kacher - Ultramicroscopy, 2020 - Elsevier
High resolution electron backscatter diffraction (HREBSD), an SEM-based diffraction
technique, may be used to measure the lattice distortion of a crystalline material and to infer …