Image Source: Twitter bellforyoo Screenshot Lee Dongwook explained that Even though the drama has ended some time ago, I would still call him Kkaebi privately too.

At the same time, Gong Yoo also revealed how Lee Dongwook has a habit of repeating his words in messages.

Image Source: Twitter bellforyoo Screenshot He would go, Kkaebi kkaebi, What are you doing What are you doing Lets meet lets meet Gong Yoo also added that That and he would add like those heart emoticons and all.

Image Source: Twitter bellforyoo Screenshot Watch the moments in the videos below Source: Twitter bellforyoo Thumbnail Credit: Youtube SBS NOW Screenshot KStarLive.

Goblin tayang perdana pada tanggal 2 Desember 2016 di channel tvN, Tayang setiap hari jumat dan sabtu pukul 20:00 (KST) setiap minggunya.

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We end with a future outlook toward recent developments in the eld of M3I3.

Hye Ryung Byon Korea Advanced Institute of Science and Technology Show all 33 authors Hide Download full-text PDF Read full-text Download full-text PDF Read full-text Download citation Copy link Link copied Read full-text Download citation Copy link Link copied Citations (1) References (140) Figures (17) Abstract and Figures Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish.

Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3).

The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing-structure-property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights.

Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure-property relationships.

Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach.

Examples of materials for applications in energy and information will be reviewed and discussed.

A case study on the development of a Ni-Co-Mn cathode materials illustrates M3I3s approach to creating libraries of multiscale structure-property-processing relationships.

We end with a future outlook toward recent developments in the field of M3I3.

This project aims to achieve the seamless integration of the multiscale structure property and processingproperty relationships via materials modeling, imaging, and machine learning.

With the capability of artificial intelligence (AI)-guided automatic synthesis, M3I3 will provide expedited development of new materials in the near future.

Evolution of historical epochs named by the materials of each era.

Schematic diagram showing Jung Ho Kim traveling around the country to draw Daedongyeo Map, and a GPS satellite images of the Korean Peninsula and the world.

The blue lines in panels ac are guides for the eye showing the valley between grains.

Conceptual schematics and (b) SEM images of 3D-ZnO hollow nanostructures deposited at 90, 165, 250, and 300 C after removing the epoxy template.

XRD patterns of the 3D-ZnO hollow nanostructure before (black) and after additional annealing (red) at each deposition temperature.

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Discover the worlds research 20 million members 135 million publications 700k research projects Join for free Public Full-text 1 Content uploaded by Seungbum Hong Author content All content in this area was uploaded by Seungbum Hong on Feb 15, 2021 Content may be subject to copyright.

Agar, Sergei V. Kalinin, Peter W.

Voorhees, Peter Littlewood, and Hyuck Mo Lee Cite This: Read Online ACCESS Metrics More Article Recommendations s Supporting Information ABSTRACT: Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can ourish.

Recently, KAIST announced 10 agship research elds, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3).

The M3I3 initiative aims to reduce the time for the discovery, design and deve lopment of mat erials based on elucidating multiscale processing str ucture property relationship and materials hierarchy, which are to be quanti ed and understood through a combination of machine learning and scienti c insights.

Speci cally, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure property relationships.

Additionally, data mining from the literature combined with machine learning will be shown to be more e cient in nding the future direction of materials structures with improved properties than the classical approach.

A case study on the development of a Ni Co Mn cathode materials illustrates M3I3 s approach to creating libraries of multiscale structure property processing relationships.

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