A5100351367- Cryospheric studies and observations
- Atmospheric aerosols and clouds
- Photonic and Optical Devices
- Atmospheric chemistry and aerosols
- Neural Networks and Reservoir Computing
- Advanced Photonic Communication Systems
- Random lasers and scattering media
- Optical Network Technologies
- Phase-change materials and chalcogenides
- Advanced Fiber Laser Technologies
- Meteorological Phenomena and Simulations
- Semiconductor Lasers and Optical Devices
- Chalcogenide Semiconductor Thin Films
- Ion-surface interactions and analysis
- Mass Spectrometry Techniques and Applications
- Quantum Computing Algorithms and Architecture
- Particle Accelerators and Free-Electron Lasers
- Advanced Surface Polishing Techniques
- Photonic Crystals and Applications
- Orbital Angular Momentum in Optics
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Advanced X-ray Imaging Techniques
- Acoustic Wave Resonator Technologies
- Ultra-Wideband Communications Technology
Chinese Academy of Sciences
2009-2025
Institute of Semiconductors
2023-2025
University of Chinese Academy of Sciences
2020-2025
State Key Laboratory on Integrated Optoelectronics
2024
State Key Laboratory of Remote Sensing Science
2021-2023
Aerospace Information Research Institute
2021-2023
Institute of High Energy Physics
2009-2021
Sichuan University
2019
Convolutional neural networks are an important category of deep learning, currently facing the limitations electrical frequency and memory access time in massive data processing. Optical computing has been demonstrated to enable significant improvements terms processing speeds energy efficiency. However, most present optical schemes hardly scalable since number elements typically increases quadratically with computational matrix size. Here, a compact on-chip convolutional unit is fabricated...
Ising machines based on analog systems have the potential to accelerate solution of ubiquitous combinatorial optimization problems. Although some artificial spins support large-scale been reported, e.g., superconducting qubits in quantum annealers and short optical pulses coherent machines, spin stability is fragile due ultra-low equivalent temperature or phase sensitivity. In this paper, we propose use microwave generated from an optoelectronic parametric oscillator as implement a machine...
Abstract The capability to identify the frequency of unknown microwave signals with an ultra‐wide measurement bandwidth is highly desirable in radar astronomy, satellite communication, and 6G networks. Compared electronic solutions, integrated photonic technology‐enabled dynamic instantaneous (DIFM) approach attractive as it offers unique advantages, such bandwidth, high flexibility, immunity electromagnetic interference. However, so far reported DIFM systems based on technology limited...
Random scattering of light in transmission media has attracted a great deal attention the field photonics over past few decades. An optoelectronic oscillator (OEO) is microwave photonic system offering unbeatable features for generation oscillations with ultra-low phase noise. Here, we combine unique random and OEO technologies by proposing an structure based on distributed feedback. Thanks to distribution Rayleigh caused inhomogeneities within glass fiber, demonstrate ultra-wideband (up 40...
Abstract The burgeoning volume of parameters in artificial neural network models has posed substantial challenges to conventional tensor computing hardware. Benefiting from the available optical multidimensional information entropy, intelligent is used as an alternative solution address emerging electrical computing. These limitations, terms device size and photonic integration scale, have hindered performance chips. Herein, ultrahigh density processing unit (OTPU), which grounded individual...
A method for quantitative imaging of trace elements in sections bio-tissues using synchrotron radiation microbeam X-ray fluorescence (SR-μXRF) analysis was developed. The Compton scattering the SR-μXRF spectrum utilized as an internal standard to compensate differences thickness and density thin bio-tissue sections. ratios element sensitivities peak obtained from two matrix-matched reference materials were used calculation concentrations metals a brain section. Ca, Fe, Cu Zn material (GBW...
Abstract. Currently, terahertz remote sensing technology is one of the best ways to detect microphysical properties ice clouds. Influenced by representativeness crystal scattering (ICS) model, existing cloud inversion algorithms still have significant uncertainties. In this study, based on Voronoi ICS we developed a algorithm water path (IWP) and median mass diameter (Dme) This study utilized single-scattering (extinction efficiency, albedo, asymmetry factor) Voronoi, sphere, hexagonal...
Parity-time (PT) symmetry is an active research area that provides a variety of new opportunities for different systems with novel functionalities. For instance, PT has been used in lasers and optoelectronic oscillators to achieve single-frequency lasing or oscillation. A system essentially static PT-symmetric system, whose frequency time-invariant. Here we investigate time-variant frequency-scanning systems. Time-variant equations eigenfrequencies are developed. We show can dynamically...
Abstract Monolithic integration of novel materials for unprecedented device functions without modifying the existing photonic component library is key to advancing heterogeneous silicon integrated circuits. To achieve this, introduction a nitride etching stop layer at selective area, coupled with low-loss oxide trench waveguide surface, enables incorporation various functional disrupting reliability foundry-verified devices. As an illustration, two distinct chalcogenide phase change (PCM)...
In this paper, we propose and demonstrate a Frequency Modulated Continuous Wave (FMCW) laser source realized through sideband modulation four-wave mixing (FWM). A silicon waveguide, featuring reverse-biased P-i-N junction, is designed to excite FWM process. The process in waveguide expand threefold frequency sweeping span 6 GHz, thereby enhancing spatial resolution 2.5 cm. original tuning range of 2 GHz rate 0.2 GHz/s multiplied by three times 0.6 GHz/μs respectively. frequency-modulated...
Nonvolatile light-field manipulation via electrically-driven phase transition of chalcogenide change materials (PCMs) is regarded as one the most powerful solutions to low-power-consumption and compact integrated reconfigurable photonics. However, before breakthrough in large-scale integration approaches linked wafer foundries, phase-change non-volatile photonics could hardly see their widespread practical applications. Here we demonstrate nonvolatile photonic devices fabricated by...
The memory effect is a type of auto correlation observed in linear systems, which widely used to control scattered light through thin scattering layers. We show that there exists strong among the optimized phase distributions adjacent focal points focusing media. numeric simulation and experiment indicate within effect, difference between two shows an optical fringe pattern, closer are, wider pattern will be, corresponding tilting plane wave added onto acquired distribution at point. This...
The focusing mirror is one of the most significant optical components in synchrotron radiation facilities, it forms a spot at level submicron on samples. Generally, desired surface shape an ellipse that can be realized by mechanical bending. However, gravity mirrors, non-negligible factor, affects accuracy elliptic surface. As result, optimizing width mirrors essential method to compensate gravity. methodology for optimization, considering influence bending moments and gravity, proposed....
The memory effect is a type of tilt wave correlation observed in linear systems, which widely used to control scattered light through thin scattering layers. Here, we show that there exists strong among the optimized phase distributions adjacent focal points focusing media. numeric simulation indicates range effect, difference between two shows fringe pattern, and closer are, wider pattern will be. This can be utilized for achieving optimal based on one point
Abstract. Currently, the terahertz remote sensing technology is one of best ways to detect microphysical properties ice clouds. Influenced by representativeness crystal scattering (ICS) model, existing cloud inversion algorithms still have significant uncertainties. In this study, we developed a algorithm water path (IWP) and effective particle radius (Re) clouds based on Voronoi ICS model. This study utilized single-scattering (extinction efficiency, albedo asymmetry factor) Sphere models...