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.
ITU
Digital transformation is blurring the boundaries between our physical and virtual worlds and this transformation has gained further impetus with COVID-19.
Things, places and people are being mirrored in a parallel virtual world, creating immersive new communications experiences and fundamental shifts in business and education as well as healthcare, automotive, logistics, retail and entertainment.
But is society ready for this future? Is this vision centred around people and our best interests? And how could technical standards and policy and regulation help us to shape the future we want?
These are among the key questions to be considered by ITU Kaleidoscope 2021: Connecting physical and virtual worlds – ITU’s flagship academic event – scheduled for 6-10 December online.
Korea Advanced Institute of Science and Technology
– The first images of mid-infrared optical waves compressed 1,000 times captured using a highly sensitive scattering-type scanning near-field optical microscope. –
KAIST researchers and their collaborators at home and abroad have successfully demonstrated a new methodology for direct near-field optical imaging of acoustic graphene plasmon fields. This strategy will provide a breakthrough for the practical applications of acoustic graphene plasmon platforms in next-generation, high-performance, graphene-based optoelectronic devices with enhanced light-matter interactions and lower propagation loss.
It was recently demonstrated that ‘graphene plasmons’ – collective oscillations of free electrons in graphene coupled to electromagnetic waves of light – can be used to trap and compress optical waves inside a very thin dielectric layer separating graphene from a metallic sheet. In such a configuration, graphene’s conductio