Decoupling has been powerful NMR method to increase the resolution especially in the multiplet overlapped 13C spectrum. However, homonuclear proton decoupling technique is thought to be challenging one because it is only applicable to the narrow band irradiation due to the polarization loss when using the broad proton decoupling. Indirect 2D method can switch the inherent cumbersome problem with the spin decoupling spectrum. However, 2D techniques should resort to the indirect dimension projected by complicated data processing procedure resulting in sensitivity loss. In this presentation, based on the slice and shift selective ingenious Zangger-Sterk method complex A3X2 spin system can be well resolved to assign the precise 1H chemical shift satisfactorily. To get the increased sensitivity and better resolution the precise phase cycling and processing parameters is required, which is described in detail

핵산을 이용한 보다 신속하고 정확한 질병 진단과 그 진단키트의 개발 산화그래핀을 이용한 어레이타입 유전자 진단키트의 개발이 이루어 질 것으로 전망한다. 또한 헬리케이스 특성을 바탕으로 한 바이러스의 복제 기전 규명으로 바이러스 관련 질병의 원인 규명과 치료제 개발의 중요한 선행연구의 근거를 제시함.

Neuromorphic architectures are in the spotlight as promising candidates for substituting current computing systems owing to their high operation speed, scaledown ability, and, especially, low energy consumption. Among candidate materials, memristors have shown excellent synaptic behaviors such as spike time-dependent plasticity and spike rate-dependent plasticity by gradually changing their resistance state according to electrical input stimuli. Memristor can work as a single synapse without programming support, which remarkably satisfies the requirements of neuromorphic computing. Here, the most recent developments in memristor-based artificial synapses are introduced with their excellent synaptic behaviors accompanied with detailed explanation of their working mechanisms. As emerging materials, halide perovskites and low-dimensional materials are presented with their synaptic behaviors. In the last section, future challenges and research directions are discussed. This review is hoped to be a guide to rational materials design for the artificial synapses of neuromorphic computing

Metal halide perovskite nanocrystals with the chemically tunable bandgap and superb optical properties are promising candidates for a number of high performance optoelectronic and photonic applications. The majority of studies on perovskites have focused on the large perovskite nanoparticles in the weak confinement regime, however recent synthetic advances have allowed for the preparation of high quality 0D, 1D, and 2D confined perovskites nanocrystals. The access to the strongly confined quantum dots, nanowires and nanoplates enabled the study of confinement effects on various photophysical properties of exciton in perovskites previously not recognized. The presentation will discuss various linear and nonlinear optical properties of exciton, such as confinement effect on energetics of exciton, photoinduced activation of symmetry forbidden, and facile access to intense and long-live dark exciton photoluminescence through confinement-enhanced splitting of bright and dark states. Potential application of the strongly confined perovskites as the source of photons and charges with unique characteristics not readily obtained from bulk will also be discussed.