Jun Cheng Cao

Dr. Jun Cheng Cao

Shanghai Institute of Microsystems and Information Technology, Chinese Academy of Sciences, Shanghai, China

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2018 in Advanced Science
Verified
Journal Article
Open access
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ZZZhitao Zhou
Zhitao Zhou
TZTao Zhou
Tao Zhou
SZShaoqing Zhang
Shaoqing Zhang
ZSZhifeng Shi
Zhifeng Shi
YCYing Chen
Ying Chen
TTTiger H. Tao
Tiger H. Tao
Recent progress in ultrafast spectroscopy and semiconductor technology is enabling unique applications in screening, detection, and diagnostics in the Terahertz (T‐ray) regime. The promise of efficaciously operation in this spectral region is tempered by the lack of devices that can spectrally analyze samples at sufficient temporal and spatial resolution. Real‐time, multispectral T‐ray (Mul‐T) imaging is reported by designing and demonstrating hyperspectral metamaterial focal plane array (MM‐FPA) interfaces allowing multiband (and individually tunable) responses without compromising on the pixel size. These MM‐FPAs are fully compatible with existing microfabrication technologies and have low noise when operating in the ambient environment. When tested with a set of frequency switchable quantum cascade lasers (QCLs) for multicolor illumination, both MM‐FPAs and QCLs can be tuned to operate at multiple discrete THz frequencies to match analyte “fingerprints.” Versatile imaging capabilities are presented, including unambiguous identification of concealed substances with intrinsic and/or human‐engineered THz characteristics as well as effective diagnosis of cancerous tissues without notable spectral signatures in the THz range, underscoring the utility of applying multispectral approaches in this compelling wavelength range for sensing/identification and medical imaging.

14 June 2017 in Scientific Reports
Verified
Journal Article
Open access
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HLHua Li
Hua Li
WWWen-Jian Wan
Wen-Jian Wan
ZTZhi-Yong Tan
Zhi-Yong Tan
ZFZhang-Long Fu
Zhang-Long Fu
HWHai-Xia Wang
Hai-Xia Wang
JCJun Cheng Cao
Jun Cheng Cao
The fast detection of terahertz radiation is of great importance for various applications such as fast imaging, high speed communications, and spectroscopy. Most commercial products capable of sensitively responding the terahertz radiation are thermal detectors, i.e., pyroelectric sensors and bolometers. This class of terahertz detectors is normally characterized by low modulation frequency (dozens or hundreds of Hz). Here we demonstrate the first fast semiconductor-based terahertz quantum well photodetectors by carefully designing the device structure and microwave transmission line for high frequency signal extraction. Modulation response bandwidth of gigahertz level is obtained. As an example, the 6.2-GHz modulated terahertz light emitted from a Fabry-Pérot terahertz quantum cascade laser is successfully detected using the fast terahertz quantum well photodetector. In addition to the fast terahertz detection, the technique presented in this work can also be used for optically characterizing the frequency stability of terahertz quantum cascade lasers, heterodyne detections and photomixing applications.

18 May 2009 in Applied Physics Letters
Verified
Journal Article
Closed access
XGX. G. Guo
X. G. Guo
ZTZ. Y. Tan
Z. Y. Tan
JCJun Cheng Cao
Jun Cheng Cao
HLH. C. Liu
H. C. Liu
Many-body effects have been investigated in the design of terahertz quantum well photon detectors. A large discrepancy between the theoretical and experimental photoresponse peak positions exist without considering the many-body interactions. The calculated results agree with the experimental data quantitatively with including the exchange-correlation and depolarization effects within the local density approximation. Our numerical results show that it is a must to consider the many-body interactions for designing the quantum well detectors for the terahertz region.

15 June 2022 in Optics Letters
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Journal Article
Closed access
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HRHaihang Ruan
Haihang Ruan
ZTZhiyong Tan
Zhiyong Tan
LCLiangtao Chen
Liangtao Chen
WWWenjain Wan
Wenjain Wan
JCJun Cheng Cao
Jun Cheng Cao
Terahertz waves are electromagnetic waves located at 0.1–10 THz, and terahertz imaging technology can be applied to security inspection, biomedicine, non-destructive testing of materials, and other fields. At present, terahertz images have unclear data and rough edges. Therefore, improving the resolution of terahertz images is one of the current hot research topics. This paper proposes an efficient terahertz image super-resolution model, which is used to extract low-resolution (LR) image features and learn the mapping of LR images to high-resolution (HR) images, and then introduce an attention mechanism to let the network pay attention to more information features. Finally, we use sub-pixel convolution to learn a set of scaling filters to upgrade the final LR feature map to an HR output, which not only reduces the model complexity, but also improves the quality of the terahertz image. The resolution reaches 31.67 db on the peak signal-to-noise ratio (PSNR) index and 0.86 on the structural similarity (SSIM) index. Experiments show that the efficient sub-pixel convolutional neural network used in this article achieves better accuracy and visual improvement compared with other terahertz image super-resolution algorithms.

23 August 2019 in Advanced Science
Verified
Journal Article
Open access
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HLHua Li
Hua Li
MYMing Yan
Ming Yan
WWWenjian Wan
Wenjian Wan
TZTao Zhou
Tao Zhou
KZKang Zhou
Kang Zhou
Heping ZengHeping Zeng
Heping Zeng
Optical frequency combs, consisting of well‐controlled equidistant frequency lines, have been widely used in precision spectroscopy and metrology. Terahertz combs have been realized in quantum cascade lasers (QCLs) by employing either an active mode‐locking or phase seeding technique, or a dispersion compensator mirror. However, it remains a challenge to achieve the passive comb formation in terahertz semiconductor lasers due to the insufficient nonlinearities of conventional saturable absorbers. Here, a passive terahertz frequency comb is demonstrated by coupling a multilayer graphene sample into a QCL compound cavity. The terahertz modes are self‐stabilized with intermode beat note linewidths down to a record of 700 Hz and the comb operation of graphene‐coupled QCLs is validated by on‐chip dual‐comb measurements. Furthermore, the optical pulse emitted from the graphene‐coupled QCL is directly measured employing a terahertz pump–probe technique. The enhanced passive frequency comb operation is attributed to the saturable absorption behavior of the graphene‐integrated saturable absorber mirror, as well as the dispersion compensation introduced by the graphene sample. The results provide a conceptually different graphene‐based approach for passive comb formation in terahertz QCLs, opening up intriguing opportunities for fast and high‐precision terahertz spectroscopy and nonlinear photonics.

27 May 2022 in Science Advances
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Journal Article
Open access
PBPeng Bai
Peng Bai
XLXiaohong Li
Xiaohong Li
NYNing Yang Yang
Ning Yang Yang
WCWeidong Chu
Weidong Chu
XBXueqi Bai
Xueqi Bai
ZZZiran Zhao
Ziran Zhao
High-performance broadband infrared (IR)/terahertz (THz) detection is crucial in many optoelectronic applications. However, the spectral response range of semiconductor-based photodetectors is limited by the bandgaps. This paper proposes a ratchet structure based on the GaAs/Al x Ga 1− x As heterojunction, where the quasi-stationary hot hole distribution and intravalence band absorption from light or heavy hole states to the split-off band overcome the bandgap limit, ensuring an ultrabroadband photoresponse from near-IR to THz region (4 to 300 THz). The peak responsivity of the proposed structure can reach 7.3 A/W, which is five orders of magnitude higher than that of the existing broadband photon-type detector. Because of the ratchet effect, the proposed photodetector has a bias-tunable photoresponse characteristic and can operate in the photovoltaic mode with a broad photocurrent spectrum (18 to 300 THz). This work not only demonstrates a broadband photon-type THz/IR photodetector but also provides a method to study the light-responsive ratchet.