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Atomic Electron Tomography Helps Observe 3D Atomic Structure of Nanomaterials

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 Ins ....

South Korea , Yongsoo Yang , Nature Communications , National Research Foundation Of Korea , Global Singularity Research , Korea Advanced Institute Of Science , Korea Advanced Institute , Professor Yongsoo Yang , National Research Foundation , தெற்கு கொரியா , இயற்கை தகவல்தொடர்புகள் , தேசிய ஆராய்ச்சி அடித்தளம் ஆஃப் கொரியா , உலகளாவிய ஒருமைப்பாடு ஆராய்ச்சி , தேசிய ஆராய்ச்சி அடித்தளம் ,

Observing Individual Atoms in 3D Nanomaterials and Their Surfaces

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. ....

South Korea , Juhyeok Lee , Chaehwa Jeong Yongsoo Yang , Yongsoo Yang , Nature Communications , National Research Foundation Of Korea , Global Singularity Research , Korea Advanced Institute Of Science , Professor Yongsoo Yang , Korea Advanced Institute , National Research Foundation , Chaehwa Jeong , Korea Advanced Institute Of Science And Technology , Nature Communications , Deep Learning , தெற்கு கொரியா , இயற்கை தகவல்தொடர்புகள் , தேசிய ஆராய்ச்சி அடித்தளம் ஆஃப் கொரியா , உலகளாவிய ஒருமைப்பாடு ஆராய்ச்சி , தேசிய ஆராய்ச்சி அடித்தளம் ,

Streamlining Process of Materials Discovery

Streamlining Process of Materials Discovery
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South Korea , Peter Littlewood , Pyuck Pa Choi , Hyuck Mo Lee , Eunae Cho , Seungbum Hong , Yongsoo Yang , Professor Peterw Voorhees At Northwestern University , Professor Joshuac Agar At Lehigh University , University Of Chicago Article , Global Singularity Research Program , Department Of Materials Science , Korea Advanced Institute Of Science , Materials Science , Professor Eunae Cho , Professor Hye Ryung Byon , Professor Seungbum Hong , Professor Jong Min , Korea Advanced Institute , Molecular Modeling , Chi Hao Liow , Professor Jong Min Yuk , Professor Yongsoo Yang , Professor Pyuck Pa Choi , Professor Hyuck Mo Lee , Professor Joshua ,

Streamlining the process of materials discovery

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IMAGE: Figure 1. Schematic diagram of the M3I3 Flagship Project. This project aims to achieve the seamless integration of the multiscale structure-property and processing-property relationships via materials modeling, imaging, and machine.
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Credit: KAIST
Developing new materials and novel processes has continued to change the world. The M3I3 Initiative at KAIST has led to new insights into advancing materials development by implementing breakthroughs in materials imaging that have created a paradigm shift in the discovery of materials. The Initiative features the multiscale modeling and imaging of structure and property relationships and materials hierarchies combined with the latest material-processing data. ....

Peter Littlewood , Pyuck Pa Choi , Hyuck Mo Lee , Eunae Cho , Seungbum Hong , Yongsoo Yang , Professor Peterw Voorhees At Northwestern University , Professor Joshuac Agar At Lehigh University , University Of Chicago Article , Global Singularity Research Program , Professor Seungbum Hong , Molecular Modeling , Chi Hao Liow , Professor Jong Min Yuk , Professor Hye Ryung Byon , Professor Yongsoo Yang , Professor Eunae Cho , Professor Pyuck Pa Choi , Professor Hyuck Mo Lee , Professor Joshua , Lehigh University , Oak Ridge National Laboratory , Professor Peter , Northwestern University , Professor Peter Littlewood , Reducing Time ,