A5015336782- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Matrix Theory and Algorithms
- Distributed Control Multi-Agent Systems
- Nonlinear Dynamics and Pattern Formation
- Quantum Dots Synthesis And Properties
- Neural Networks and Applications
- Chalcogenide Semiconductor Thin Films
- Stability and Controllability of Differential Equations
- Organic Electronics and Photovoltaics
- Conducting polymers and applications
- Elasticity and Wave Propagation
- Chaos control and synchronization
- Organic Light-Emitting Diodes Research
- Perovskite Materials and Applications
- Asian Culture and Media Studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Nanocluster Synthesis and Applications
- Adaptive Control of Nonlinear Systems
- Advanced Memory and Neural Computing
- Fault Detection and Control Systems
- Analytical Chemistry and Chromatography
- ZnO doping and properties
- Control and Stability of Dynamical Systems
- stochastic dynamics and bifurcation
Kyung Hee University
2016-2025
Chungbuk National University
2010-2021
Samsung (South Korea)
2020-2021
Seoul National University
2011-2021
Global College
2014-2020
Yeungnam University
2004-2020
Seoul Institute
2020
Government of the Republic of Korea
2015-2020
Daegu University
2016
University of Seoul
2015
We report highly bright and efficient inverted structure quantum dot (QD) based light-emitting diodes (QLEDs) by using solution-processed ZnO nanoparticles as the electron injection/transport layer optimizing energy levels with organic hole transport layer. have successfully demonstrated red, green, blue QLEDs showing maximum luminances up to 23,040, 218,800, 2250 cd/m(2), external efficiencies of 7.3, 5.8, 1.7%, respectively. It is also noticeable that they showed turn-on voltages low...
We demonstrate bright, efficient, and environmentally benign InP quantum dot (QD)-based light-emitting diodes (QLEDs) through the direct charge carrier injection into QDs efficient radiative exciton recombination within QDs. The formation is facilitated by an adoption of a solution-processed, thin conjugated polyelectrolyte layer, which reduces electron barrier between cathode via vacuum level shift promotes balance these excitons enabled in structurally engineered InP@ZnSeS heterostructured...
CdSe/Zn1-X CdX S core/shell heterostructured quantum dots (QDs) with varying shell thicknesses are studied as the active material in a series of electroluminescent devices. "Giant" QDs (e.g., CdSe core radius 2 nm and Zn1-X thickness 6.3 nm) demonstrate high device efficiency (peak EQE = 7.4%) record-high brightness (>100 000 cd m(-2) ) deep-red emission, along improved stability.
This paper considers the problem of delay-dependent stability criteria for neural networks with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii functional, less conservative criterion is established in terms linear matrix inequalities. Second, proposing novel activation function conditions which have not been proposed so far, further improved are proposed. Finally, three numerical examples used literature given to show improvements over existing and...
Bright, low-voltage driven colloidal quantum dot (QD)-based white light-emitting devices (LEDs) with practicable device performances are enabled by the direct exciton formation within quantum-dot active layers in a hybrid structure. Detailed characterization reveals that white-QLEDs can be rationalized as parallel circuit, which different QDs connected through same set of electrically common organic and inorganic charge transport layers. Nanocrystal dots (QDs) have been considered most...
In this brief, an extended dissipativity analysis was conducted for a neural network with time-varying delays. The concept of the can be used to solve H∞, L2-L∞, passive, and dissipative performance by adjusting weighting matrices in new index. addition, activation function dividing method is modified introducing tuning parameter. Examples are provided show effectiveness less conservatism proposed method.
Thin-film ultraviolet (UV) light-emitting diodes (LEDs) with emission wavelengths below 400 nm are emerging as promising light sources for various purposes, from our daily lives to industrial applications. However, current thin-film UV-emitting devices radiate not only UV but also visible light. Here, we introduce genuine colloidal nanocrystal quantum dot (NQD) LEDs (QLEDs) using precisely controlled NQDs consisting of a 2.5-nm-sized CdZnS ternary core and ZnS shell. The effective size is...
Abstract We have investigated the possibility of fabricating quantum dot light‐emitting diodes (QLEDs) using inkjet printing technology, which is most attractive method for full‐color patterning QLED displays. By controlling (QD) ink formulation and condition, we successfully patterned pixels in 60‐in ultrahigh definition TV format, has a resolution 73 per inch. The inkjet‐printed QLEDs exhibited maximum luminance 2500 cd/m 2 . Although performance low compared with that fabricated...
This paper proposes new stability and stabilization conditions for discrete-time fuzzy systems with time-varying delays. By constructing a suitable Lyapunov-Krasovskii functional introducing summation inequality based on the of Cauchy-Schwartz form, which enhances feasible region criterion delay, such is established. In order to show effectiveness proposed inequality, provides more tight lower bound term quadratic delay-dependent derived within framework linear matrix inequalities, can be...
We demonstrated highly efficient inverted bottom-emission organic light-emitting diodes (IBOLEDs) using tin dioxide (SnO2) nanoparticles (NPs) as an electron injection layer at the interface between indium oxide (ITO) cathode and transport layer. The SnO2 NP can facilitate since conduction band energy level of NPs (-3.6 eV) is located work function ITO (4.8 lowest unoccupied molecular orbital (LUMO) typical transporting molecules (-2.5 to -3.5 eV). As a result, IBOLEDs with exhibited...