微发光二极管显示器像素驱动技术的进展

Advances in pixel driving technology for micro-LED displays.

作者信息

Gao Han, Zou Mingjie, Zhong Chenming, Zhuang Jianbang, Lin Junjie, Lu Zhian, Jiang Zhizhong, Lu Yijun, Chen Zhong, Guo Weijie

机构信息

National Innovation Platform for the Fusion of Industry and Education in Integrated Circuits, Department of Electronic Science, School of Electronic Science and Engineering, Xiamen University, Xiamen 361005, China.

China, and also with the Shenzhen Research Institute of Xiamen University, Shenzhen 518057, China.

出版信息

Nanoscale. 2023 Nov 9;15(43):17232-17248. doi: 10.1039/d3nr01649h.

DOI:10.1039/d3nr01649h

PMID:37856207

Abstract

Micro-LED displays have been recognized as the next-generation display technology. This review focuses on the pixel-driving technology of micro-LED displays. The performance of pixel driving on micro-LED displays is discussed in terms of brightness uniformity, driving speed, grayscale, and frame rate under various driving architectures. Since the memristors possess characteristics similar to those of biological synaptic neurons due to the ion migration mechanism, the neural network approach which combines the memristor arrays with the pixel driving circuit of micro-LEDs could promote the development of smart and efficient displays.

摘要

微发光二极管（Micro-LED）显示器已被公认为下一代显示技术。本综述聚焦于微发光二极管显示器的像素驱动技术。在各种驱动架构下，从亮度均匀性、驱动速度、灰度和帧率等方面讨论了微发光二极管显示器上像素驱动的性能。由于忆阻器因离子迁移机制而具有与生物突触神经元相似的特性，将忆阻器阵列与微发光二极管的像素驱动电路相结合的神经网络方法可推动智能高效显示器的发展。