세미나

강유전체/다강체 기반 뉴로모픽 소자

Microscopic investigation of model catalyst systems using STM: from a single molecule to nanostructures

Microscopic investigation of model catalyst systems using STM: from a single molecule to nanostructures Hyun Jin Yang, Ph. D. hyunjin.yang@lgensol.com , hyunjin.yang@gmail.com Surface analysis team, Center for Analytical Sciences, LG Energy Solution Heterogeneous catalysis has been a long-standing subject of surface chemistry, employing the elements of heterogeneous catalysts, i.e....

효율적인 동적 시스템 예측을 위한 데이터 중심 축소모델 연구

Data-driven reduced-order model for efficient prediction of structural dynamics   Haeseong Cho Department of Aerospace Engineering, Jeonbuk National University, Korea   With the advent of the 4th industrial revolution, the next-generation mechanical and aerospace industries require multi-disciplinary convergence technology, and multi-disciplinary simulations are drawing attention as an important tool for the design and operation of next-generation mechanical and aerospace systems. Recently, a data-driven model reduction method using data analysis or machine learning, is emerging, and is expected as a base technology for a digital twin for a complex multi-disciplinary system. In general, the methods that can be used to define the reduced-order model of a dynamic system are the intrusive model reduction method, which projects the governing equations of the system in a generalized coordinate system, and the non-intrusive model reduction method, which defines the input and output relationship of the data of interest. In this talk, the model reduction methods that defines a reduced model using the solution of a dynamic system such as the displacement of a structure will be introduced....

Applications in Coastal and Forest Environment through Satellites and Aircrafts

넓은 밴드갭 질화알루미늄 인공 광전자 시냅스 소자의 가속 학습

Rise of neuromorphic computing architectures: Accelerated Learning in wide-Band-Gap AlN artificial optoelectronic synaptic devices   Moonsang Lee,1,*   1Department of Materials Science and Engineering, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Republic of Korea   Abstract We briefly introduce the rise of neuromorphic computing architectures for deep learning applications. After the overview, we...

Direct Observation and Control of Atomic-Scale Defects in Energy Materials

Direct Observation and Control of Atomic-Scale Defects in  Energy Materials Sung-Yoon Chung*   Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Korea    *E-mail: sychung@kaist.ac.kr    Abstract   The importance of direct physical imaging and chemical probing has been widely noted, as both can provide crucial and unexpectedly invaluable information in a variety of scientific fields, including not only materials science and condensed-matter physics but also brain science, photonics, biology, astronomy, and even research for historic materials. In particular, recent advances in spherical aberration correction in scanning transmission electron microscopy (STEM) have enabled the observation of a crystal lattice at a real atomic scale, making it possible to visualize the atomic columns of even light elements in angstrom resolution. In this talk, through exemplifying oxide-based energy-conversion materials for electrocatalytic activities, the beauty of combination of atomic-scale imaging based on STEM and theoretical calculations will be covered to provide a better insight into the correlation between physics, chemistry, and atomic-level imaging. ...

Development and commercialization of power facility diagnosis technology (전력설비 진단 기술 개발 및 사업화)

Abstract Live-line maintenance works for power transmission lines are very dangerous due to the dangers of high voltage and the risks of falling from heights. For this reason, there has been an increasing manpower shortage in this field and new active techniques using innovative robots have...

3D printing of smart materials for smart structures using laser powder bed fusion of Fe-based shape memory alloy

3D printing of smart material for smart structures using laser powder bed fusion of Fe-based shape memory alloy   Wookjin Lee School of Materials Science and Engineering, Pusan National University   Abstract   The additive manufacturing of shape memory materials, commonly known as 4-dimensional (4D) printing, facilitates the achievement of a complex...

지구를 위한다는 착각 ‘생분해 플라스틱과 그린워싱’

차세대 반도체 공정기술로서의 3차원 패터닝 기술

Abstract 차세대 반도체 공정기술로서의 3차원 패터닝 기술 (3D Nanopattering as the Next-Generation Processing Technology of Semiconductors) Seokwoo Jeon Department of Materials Science and Engineering, Advanced Battery Center, KI for the Nano Century, KAIST, 291 Daehak-ro, Yuseong Gu, Daejeon 34141, Korea Email: jeon39@kaist.ac.kr     근접장 나노패터닝 기술은 (PnP) 3차원 광학 간섭을 이용하여 반도체에서...