28 citations · 42 across the 5 of their papers we have counts for
9 papers · 1 filter
Deep Learning Coherent Diffractive Imaging
Dillan J. Chang, Colum M. O'Leary, Cong Su +5
We report the development of deep learning coherent electron diffractive imaging at sub-angstrom resolution using convolutional neural networks (CNNs) trained with only simulated d…
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…
A linear-scaling algorithm for rapid computation of inelastic transitions in the presence of multiple electron scattering
Hamish G. Brown, Jim Ciston, Colin Ophus
Strong multiple scattering of the probe in scanning transmission electron microscopy (STEM) means image simulations are usually required for quantitative interpretation and analysi…
Hard x-ray standing-wave photoemission insights into the structure of an epitaxial Fe/MgO multilayer magnetic tunnel junction
C. S. Conlon, G. Conti, S. Nemšák +15
The Fe/MgO magnetic tunnel junction is a classic spintronic system, with current importance technologically, and interest for future innovation. The key magnetic properties are lin…
Origins of the transformability of Nickel-Titanium shape memory alloys
Xian Chen, Colin Ophus, Chengyu Song +7
The near equiatomic NiTi alloy is the most successful shape memory alloy by a large margin. It is widely and increasingly used in biomedical devices. Yet, despite having a repeatab…
Structure retrieval at atomic resolution in the presence of multiple scattering of the electron probe
Hamish G. Brown, Zhen Chen, Matthew Weyland +4
The projected electrostatic potential of a thick crystal is reconstructed at atomic-resolution from experimental scanning transmission electron microscopy data recorded using a new…