红外线的
光子上转换
材料科学
光电子学
光学
不透明度
像素
功率密度
信号(编程语言)
可见光谱
图像分辨率
光电二极管
功率(物理)
计算机科学
物理
发光
量子力学
程序设计语言
作者
Chun‐Jen Shih,Yu‐Ching Huang,Tai-Yung Wang,Chang-Wei Yu,Yi-Sheng Shu,Abdul Khalik Akbar,Jai-Yi Lin,Sajal Biring,Jiun‐Haw Lee,Shun‐Wei Liu
出处
期刊:Science Advances
[American Association for the Advancement of Science (AAAS)]
日期:2023-04-28
卷期号:9 (17)
被引量:20
标识
DOI:10.1126/sciadv.add7526
摘要
Crystalline photodiodes remain the most viable infrared sensing technology of choice, yet the opacity and the limitation in pixel size reduction per se restrict their development for supporting high-resolution in situ infrared images. In this work, we propose an all-organic non-fullerene–based upconversion device that brings invisible infrared signal into human vision via exciplex cohost light-emissive system. The device reaches an infrared-to-visible upconversion efficiency of 12.56% by resolving the 940-nm infrared signal (power density of 103.8 μW cm −2 ). We tailor a semitransparent (AVT, ~60%), large-area (10.35 cm 2 ), lightweight (22.91 g), single-pixel upconversion panel to visualize the infrared power density down to 0.75 μW cm 2 , inferring a bias-switching linear dynamic range approaching 80 dB. We also demonstrate the possibility of visualizing low-intensity infrared signals from the Face ID and LiDAR, which should fill the gap in the existing technology based on pixelated complementary metal-oxide semiconductors with optical lenses.
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