2 papers
cond-mat.mtrl-sci2024
Deep Generative Models-Assisted Automated Labeling for Electron Microscopy Images Segmentation
Wenhao Yuan, Bingqing Yao, Shengdong Tan +2
The rapid advancement of deep learning has facilitated the automated processing of electron microscopy (EM) big data stacks. However, designing a framework that eliminates manual l…
physics.app-ph2024
Harnessing Zn-Volatility for Compositional Tuning in PtZn Nanoalloy Catalysts
Bingqing Yao, Chaokai Xu, Yaxin Tang +5
Bimetallic nanoalloys have gained extensive attention due to their tunable properties and wide range of catalytic applications. However, achieving good compositional control in nan…