OLED Displays and Lighting

Koden, Mitsuhiro

doi:10.1002/9781119040477

Cited by 56 publications

(49 citation statements)

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“…have been well developed. [ 135 ] Therefore, the fabrication compatibility (wet or dry processes; with or without post‐annealing, etc.) need to be carefully considered when applying the strategies for evaporated OLEDs to the solution‐fabricated PeLEDs.…”

Section: Light Out‐coupling Strategies For Ledsmentioning

confidence: 99%

Light Out‐Coupling Management in Perovskite LEDs—What Can We Learn from the Past?

Zhang

et al. 2020

Adv Funct Materials

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The research on perovskite light‐emitting diodes (PeLEDs) has experienced an exponential growth in the past six years. The highest external quantum efficiencies (EQEs) have surpassed 20%, 20%, and 10% for red, green, and blue colored LEDs, respectively. Considering the internal quantum efficiency is already approaching unity owing to the high material quality, the limiting factor for further improving the EQE is mainly the poor light out‐coupling efficiencies. Here, by reviewing the progress on the light out‐coupling studies for PeLEDs, organic LEDs (OLEDs), conventional semiconductor LEDs, and other special LEDs, the rational design guidelines are summarized for enhancing PeLED out‐coupling. Briefly, these design guidelines include: 1) introducing nanostructures into the active layer or tuning the thickness of it to couple out the waveguide modes, 2) adding nanostructures between the active layer and transparent electrodes to couple the waveguide modes to substrate modes, 3) adding nanostructures such as nanowires to the glass substrate to couple the substrate mode to air. Essentially, these guidelines indicate that implementing nanophotonic engineering on PeLEDs is a highly promising direction to explore, so as to substantially enhance the device performance.

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Section: Light Out‐coupling Strategies For Ledsmentioning

confidence: 99%

Light Out‐Coupling Management in Perovskite LEDs—What Can We Learn from the Past?

Zhang

et al. 2020

Adv Funct Materials

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“…Existing signal data management platforms often do not support large volumes of data that is generated at high velocity and require fast analysis (e.g. Nihon Koden Neural Workbench [12]). An effective signal data management platform for big data needs to address multiple challenges, including: 1.…”

Section: Motivationmentioning

confidence: 99%

Domain Ontology As Conceptual Model for Big Data Management: Application in Biomedical Informatics

Jayapandian

Chen

Dabir

et al. 2014

Conceptual Modeling

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Abstract. The increasing capability and sophistication of biomedical instruments has led to rapid generation of large volumes of disparate data that is often characterized as biomedical "big data". Effective analysis of biomedical big data is providing new insights to advance healthcare research, but it is difficult to efficiently manage big data without a conceptual model, such as ontology, to support storage, query, and analytical functions. In this paper, we describe the Cloudwave platform that uses a domain ontology to support optimal data partitioning, efficient network transfer, visualization, and querying of big data in the neurology disease domain. The domain ontology is used to define a new JSONbased Cloudwave Signal Format (CSF) for neurology signal data. A comparative evaluation of the ontology-based CSF with existing data format demonstrates that it significantly reduces the data access time for query and visualization of large scale signal data.

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“…Both OP and DP have been commonly used to define the EA of OLEDs. For the EAs of OLED stack constructed via conventional methods of film patterning, such as shadow mask and laser processes, either OP or DP are used depending on the manufacturer’'s preference . DP is normally used for inkjet printed OLEDs, where hydrophobic patterned banks or wells are formed prior to ink deposition to effectively confine the deposited ink .…”

Section: Introductionmentioning

confidence: 99%

“…For the EAs of OLED stack constructed via conventional methods of film patterning, such as shadow mask and laser processes, either OP or DP are used depending on the manufacturer’'s preference . DP is normally used for inkjet printed OLEDs, where hydrophobic patterned banks or wells are formed prior to ink deposition to effectively confine the deposited ink . The hydrophobic banks are formed via subtractive methods, which requires high baking temperature and etching processes that are undesirable for the OLED materials and adds complexity to the fabrication process.…”

Section: Introductionmentioning

confidence: 99%

Emission Area Patterning of Organic Light‐Emitting Diodes (OLEDs) via Printed Dielectrics

Han

Khan

Gopalan

et al. 2018

Adv Funct Materials

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Solution-processibility is one of the distinguished traits of organic lightemitting diodes (OLEDs) compared to existing solid-state LED technologies. It allows new opportunities which can simplify the fabrication and potentially reduce the cost of manufacturing process. Emission area patterning is one of the crucial fabrication steps and it usually involves subtractive methods, such as photolithography or etching. Here, printing techniques are used to pattern the emission area of blade-coated OLED layers. The print qualities of a number of printing schemes are characterized and compared. Spray coating and screen printing are used to deposit dielectrics with desired patterns on the OLED layers. At luminance of 1000 cd m −2 the OLEDs patterned using spray-coated and screen-printed dielectric show current density of 8.2 and 10.1 mA cm −2 , external quantum efficiency (EQE) of 2.1% and 2.1%, and luminous efficacy of 5.5 and 6.3 lm W −1 , respectively. The OLED characteristics and features of each printing scheme in depositing the dielectric layer are discussed. The printing methods are further applied to demonstrate displays with complex shapes and a seven-segment display.

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OLED Displays and Lighting

Cited by 56 publications

References 0 publications

Light Out‐Coupling Management in Perovskite LEDs—What Can We Learn from the Past?

Light Out‐Coupling Management in Perovskite LEDs—What Can We Learn from the Past?

Domain Ontology As Conceptual Model for Big Data Management: Application in Biomedical Informatics

Emission Area Patterning of Organic Light‐Emitting Diodes (OLEDs) via Printed Dielectrics

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