KAIST Team Solves 20-Year-Old Puzzle: 3D Vortex of 0D Ferroelectrics Revealed miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
The research team led by Dr. Yongsoo Yang from the Department of Physics at KAIST has, for the first time, experimentally clarified the three-dimensio..
A 20-year-old puzzle solved: Researchers reveal the 'three-dimensional vortex' of zero-dimensional ferroelectrics phys.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from phys.org Daily Mail and Mail on Sunday newspapers.
Atomic Electron Tomography Helps Observe 3D Atomic Structure of Nanomaterials
Written by AZoNanoMay 13 2021
Atoms are known to be the fundamental building blocks for all kinds of materials. To customize functional characteristics, it is crucial to precisely establish their atomic structures.
A. Overall atomic structure of a Pt nanoparticle determined in this study, with SiN substrate represented as black and gray disks. B. Identified facet structure of the Pt nanoparticle, showing all facets. C, D. Iso-surfaces of reconstructed 3D density from the electron tomography, before (c) and after (d) the deep-learning-based augmentation, respectively. E, F. Tomographic reconstruction volume intensity and traced atom positions. Each slice represents an atomic layer, and the blue dots indicate the traced 3D atomic positions before (e) and after (f) the deep-learning-based augmentation. The grayscale backgrounds are iso-surfaces of 3D density. Image Credit: The Korea Advanced Institute of Sc
Korea Advanced Institute of Science and Technology
Atoms are the basic building blocks for all materials. To tailor functional properties, it is essential to accurately determine their atomic structures. KAIST researchers observed the 3D atomic structure of a nanoparticle at the atom level via neural network-assisted atomic electron tomography.
Using a platinum nanoparticle as a model system, a research team led by Professor Yongsoo Yang demonstrated that an atomicity-based deep learning approach can reliably identify the 3D surface atomic structure with a precision of 15 picometers (only about 1/3 of a hydrogen atom’s radius). The atomic displacement, strain, and facet analysis revealed that the surface atomic structure and strain are related to both the shape of the nanoparticle and the particle-substrate interface. This research was reported at Nature Communications.