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20192022
most citedDisentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns

7 citations · 7 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 7 cited

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

Joydeep Munshi, Alexander Rakowski, Benjamin H Savitzky +7

Implementation of a fast, robust, and fully-automated pipeline for crystal structure determination and underlying strain mapping for crystalline materials is important for many tec…

cond-mat.mtrl-sci2020

Multibeam Electron Diffraction

Xuhao Hong, Steven E Zeltmann, Benjamin H Savitzky +5

One of the primary uses for transmission electron microscopy (TEM) is to measure diffraction pattern images in order to determine a crystal structure and orientation. In nanobeam e…