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

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

1 February 2022

Steven E. Zeltmann

Maria K. Y. Chan

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

3 / 3 papers shown

Title
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM) L. Dacosta Katherine Sytwu Catherine K. Groschner Mary C Scott 33 4 0 12 Sep 2023
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments Arpan Biswas Yongtao Liu Nicole Creange Yu-Chen Liu S. Jesse Jan-Chi Yang Sergei V. Kalinin M. Ziatdinov Rama K Vasudevan 27 5 0 05 Apr 2023
Leveraging generative adversarial networks to create realistic scanning transmission electron microscopy images Abid Khan Chia-Hao Lee Pinshane Y. Huang B. Clark GAN MedIm 27 21 0 18 Jan 2023