4d-stem diffraction 1autoencoder 1gaas 1latent space analysis 1phase trajectories 1recrystallization 1
From the 1 of 2 linked papers with an AI index.
2 papers
cond-mat.mtrl-sci2026
Mapping recrystallization trajectories in GaAs using latent space diffraction analysis
Ellis Rae Kennedy, Kwanghwi Je, Erik Thiede
The paper presents a latent‑space method using a convolutional autoencoder and unsupervised clustering to map recrystallization pathways from in‑situ 4D‑STEM diffraction data of io…
cond-mat.mtrl-sci2026
A Transformer-based Model for Rapid Microstructure Inference from Four-Dimensional Scanning Transmission Electron Microscopy Data
Kwanghwi Je, Ellis R. Kennedy, Sungin Kim +2
Properties of crystalline materials are closely linked to microstructure arising from the spatial arrangement, orientation, and phase of nanocrystals. Rapid characterization of cry…