2022 International Conference on Optoelectronic Information and Functional Materials
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Speakers

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Prof. Changsi Peng

Soochow University, China


Title: Laser Patterning Induced Nanostructure Arrays by Epitaxy & Lithography Synchronization Solution


Abstract: 

Traditional methods of nano-manufacturing involve top-down photolithographic patterning and/or bottom-up self-assembly. However, these methods have their limitations: (1) The lattice damage and chemical contamination caused by the etching process induce defects by over two orders of magnitude higher than the device limit; (2) The alternative method of self-assembly can make defect-free nanostructures, but the structure generation is a disordered, random and uncontrollable. To overcome those limitations, we combine the simplicity of high-power laser interference patterning with the advantages of induced lithography and self-assembly to induce growth or induce etching of dense arrays of defect-free nanostructures with precise sizes, shapes, and compositions.

During the molecular beam epitaxy (MBE) growth, the laser interference pattern is induced to change the local chemical reaction and/or local stress distribution, where, nanostructure (e.g. quantum dot/wire) arrays are nucleated at the lowest energy sites. Defect-free self-assembly growth or etching are induced by photothermal or photochemical reactions at the positions predetermined by the laser interference pattern. The period of NAs is smaller than the laser wavelength. Such material growth and etching patterns can also be extended to: project-patterning onto the wafer surface via an arbitrarily designed mask.



Prof. Zhigang Zang

College of Optoelectronic Engineering, Chongqing University, China


Title: Stability of inorganic perovskite quantum dots and their white light emitting diodes 


Abstract:

The photoluminescence quantum yield (PLQY) of CsPbBr3 perovskite nanocrystals (NCs) prepared by the hot-injection method can exceed 90%, which have attracted intensive attention for white light-emitting diodes (WLEDs). However, the whole hot-injection experiment requires air isolation and relatively high temperature. In addition, the poor stability of CsPbBr3 NCs impedes their applications. Here, a facile method is reported to synthesize CsPbBr3@ZrO2 NCs at room temperature in air. Owing to using ZrO2 coated CsPbBr3 NCs, the prepared CsPbBr3@ZrO2 NCs not only present a PLQY of 80% but also exhibit an enhanced stability to heat and moisture. Furthermore, WLEDs are fabricated with CsPbBr3@ZrO2 NCs and commercial red phosphors (CaAlSiN3:Eu2+) on blue LEDs chips. The fabricated WLEDs exhibit a correlated color temperature (CCT) of 4743 K and luminous efficacy as high as 64.0 Lm W–1. In addition, visible light communication with a high data rate of 33.5 Mbps is achieved using the WLEDs. This work provides a room temperature strategy to coat zirconia for CsPbBr3@ZrO2 NCs, benefiting to enhance the optical performance and stability, as well as the promotion of the great potentials in solid-state illuminating and visible light communication applications.



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Prof. Chao Zuo

Nanjing University of Science and Technlnogy (NJUST), China


Title: Learning based fringe projection profilometry 


Abstract:

Deep learning is transforming a range of disciplines and eclipsing the state of the art achieved by earlier machine-learning techniques. It has created new opportunities to revolutionize optical metrology techniques. In this talk, we introduce our recent efforts to apply deep-learning approaches to fringe projection profilometry (FPP). We show that the deep-learning-enabled fringe analysis approach can significantly boost the accuracy and improve the quality of the phase reconstruction compared to conventional Fourier transform and windowed Fourier transform approaches. Deep learning can also be used to perform phase unwrapping and outperform conventional multi-frequency temporal phase unwrapping in terms of both unwrapping reliability and robustness.  As a result, with the aid of deep learning, we can use less or even single raw image for absolute phase retrieval, which enable FPP techniques to go a step further in high-speed and high-accuracy 3D surface imaging of transient events



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Dr. Bayram GÜNDÜZ

Malatya Turgut Ozal University, Turkey


Title: Optoelectronic Devices Based on Functional Optoelectronic Materials


Abstract:

In this talk, I will primarily talk about current optoelectronic functional materials and their various properties, especially optoelectronic properties. Next, we will comprehensively focus on devices manufactured with current functional optoelectronic materials and their performance. Finally, I will discuss innovations in new structurally designed high-performance optoelectronic devices such as Organic Light Emitting Diodes (OLEDs), Organic Field Effect Transistors (OFETs), Organic Solar Cells (OSCs), and Electrochromic Devices (ECDs).