2 papers
cond-mat.mtrl-sci2026
Predictive autoencoder-transformer model of Cu oxidation state from EELS and XAS spectra
Brian Lee, Linna Qiao, Samuel Gleason +5
X-ray absorption spectroscopy (XAS) and electron energy-loss spectroscopy (EELS) produce detailed information about oxidation state, bonding, and coordination, making them essentia…
eess.IV2024
Deep-Learning Recognition of Scanning Transmission Electron Microscopy: Quantifying and Mitigating the Influence of Gaussian Noises
Hanlei Zhang, Jincheng Bai, Xiabo Chen +4
Scanning transmission electron microscopy (STEM) is a powerful tool to reveal the morphologies and structures of materials, thereby attracting intensive interests from the scientif…