Yoseob Han, Ph.D. 🎓 |
I am an expert in computer vision & medical imaging AI, optimization for image restoration and reconstruction, and signal & image processing. My interested research fields are speech synthesis, multi-modality AI and domain generalization as well as blockchain engineering. Please let me know if you have some exciting idea. 😎
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Latest Research Highlight 🚨
Deep learning STEM-EDX tomography of nanocrystals
Han, Yoseob., et al. Nature Machine Intelligence (IF: 25.898)
The 3D elemental structure and composition of nanocrystals can be analysed by combining scanning transmission electron microscopy (STEM) and energy-dispersive X-ray spectroscopy (EDX). This is useful, for instance, for the study and design of semiconductor quantum dots for optoelectronic applications in display devices. However, EDX has low efficiency and leads to electron beam-induced damage to the nanocrystals. In this issue, Han et al. demonstrate an unsupervised deep learning method that can help to reconstruct elemental 3D maps under reduced beam exposure. With this approach, valuable information can be learned about the dependence of optical properties on the structure and elemental composition of quantum dots.
Han, Yoseob., et al. Nature Machine Intelligence (IF: 25.898)
The 3D elemental structure and composition of nanocrystals can be analysed by combining scanning transmission electron microscopy (STEM) and energy-dispersive X-ray spectroscopy (EDX). This is useful, for instance, for the study and design of semiconductor quantum dots for optoelectronic applications in display devices. However, EDX has low efficiency and leads to electron beam-induced damage to the nanocrystals. In this issue, Han et al. demonstrate an unsupervised deep learning method that can help to reconstruct elemental 3D maps under reduced beam exposure. With this approach, valuable information can be learned about the dependence of optical properties on the structure and elemental composition of quantum dots.
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