A5100390733- Photonic and Optical Devices
- Liquid Crystal Research Advancements
- Advanced optical system design
- Metamaterials and Metasurfaces Applications
- Plasmonic and Surface Plasmon Research
- Photonic Crystals and Applications
- Advanced Optical Imaging Technologies
- Optical Coatings and Gratings
- Optical Polarization and Ellipsometry
- Terahertz technology and applications
- Orbital Angular Momentum in Optics
- Adaptive optics and wavefront sensing
- Semiconductor Lasers and Optical Devices
- Thermal Radiation and Cooling Technologies
- Neural Networks and Reservoir Computing
- Gold and Silver Nanoparticles Synthesis and Applications
- Optical Systems and Laser Technology
- Electrowetting and Microfluidic Technologies
- Advanced Antenna and Metasurface Technologies
- Infrared Target Detection Methodologies
- Advanced Vision and Imaging
- Optical Network Technologies
- Optical Wireless Communication Technologies
- Near-Field Optical Microscopy
- Optical and Acousto-Optic Technologies
Huazhong University of Science and Technology
2016-2025
Optics Technology (United States)
2025
Integrated Optoelectronics (Norway)
2025
China University of Geosciences
2024
Technical Institute of Physics and Chemistry
2024
Chinese Academy of Sciences
2024
Inner Mongolia University of Science and Technology
2024
Shandong University of Science and Technology
2024
Dalian Polytechnic University
2024
Zhengzhou University
2023
Abstract Active oxygen highly affects the efficiency and stability of perovskite solar cells (PSCs) owing to capacity either passivate defects or decompose lattice. To better understand in‐depth interaction, we demonstrate for first time that photooxidation mechanism in all‐inorganic film dominates phase deterioration kinetics by forming superoxide species presence light oxygen, which is significantly different from organic‒inorganic hybrid even tin‐based perovskites. In perovskites, prefer...
Control of chirality using metamaterials plays a critical role in diverse set advanced photonics applications, such as polarization control, bio-sensing, and polarization-sensitive imaging devices. However, this poses major challenge, it primarily involves the geometrical reconfiguration metamolecules that cannot be adjusted dynamically. Real-world applications require active tuning chirality, which can easily manipulate magnitude, handedness, spectral range chiroptical response. Here,...
Plenoptic cameras generally employ a microlens array positioned between the main lens and image sensor to capture three-dimensional target radiation in visible range. Because focal length of common refractive or diffractive microlenses is fixed, depth field (DOF) limited so as restrict their imaging capability. In this paper, we propose new plenoptic camera using liquid crystal (LCMLA) with electrically tunable length. The developed LCMLA fabricated by traditional photolithography standard...
Light-field imaging is a crucial and straightforward way of measuring analyzing surrounding light worlds. In this paper, dual-polarized light-field micro-system based on twisted nematic liquid-crystal microlens array (TN-LCMLA) for direct three-dimensional (3D) observation fabricated demonstrated. The prototyped camera has been constructed by integrating TN-LCMLA with common CMOS sensor array. By switching the working state TN-LCMLA, two orthogonally polarized images can be remapped through...
A kind of compact all-optical learning-based neural network has been constructed and characterized for efficiently performing a robust layered diffractive shaping laser beams. The data-driven control lightwave strategy demonstrates some particular advantages such as smart or intelligent light beam manipulation, optical data statistical inference incident generalization. Based on the proposed method, several typical aberrated fields can be effectively modulated into desired fashion including...
Low-refractive-index particles play significant roles in physics, drug delivery, biomedical science, and other fields. However, they have not attained sufficient utilization active manipulation due to the repulsive effect of light. In this work, establishment customized dark traps is demonstrated fulfill demands versatile low-refractive-index particles. The are generated by assembling generalized perfect optical vortices based on free lens modulation method, which beams’ shape, intensity,...
Single-molecule detection of nucleic acids in body fluids is vital but challenging. This work presents an optical microfiber biosensor with a metal-semiconductor-2D material hybrid nanointerface for single-molecule amplification-free complex fluids. By optimizing the components, we achieved significant enhancement evanescent field, enabling ultrahigh sensitivity at surface. It allowed DNA molecules level and could identify single-base-pair mismatches. Utilizing microscale diameter...
An effective method for rapidly performing depth estimation using a type of electrowetting liquid-lens is proposed. The architectured by directly coupling cylindrical copper sidewall electrode and top ITO electrode, leading to dual-mode lens adjusted electrically, including beam diverging mode converging mode, also an intermedium phase retard state. By increasing the applied signal voltage from 0 120 V, focus presents wide dynamic range (-∞, −128.6 mm) ∪ (45.6 mm, +∞). key performances...
Plenoptic cameras have received a wide range of research interest because it can record the 4D plenoptic function or radiance including radiation power and ray direction. One its important applications is digital refocusing, which obtain 2D images focused at different depths. To achieve refocusing in range, large depth field (DOF) needed, but there are fundamental optical limitations to this. In this paper, we proposed camera with an extended DOF by integrating main lens, tunable multi-focus...
As an optical-based classifier of the physical neural network, independent diffractive deep network ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow class="MJX-TeXAtom-ORD"> <mml:msup> <mml:mi mathvariant="normal">D</mml:mi> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> mathvariant="normal">N</mml:mi> </mml:math> ) can be utilized to learn single-view spatial featured mapping between input lightfields and truth labels by preprocessing a large number...
We propose a broad-spectrum diffractive deep neural network (BS-D2NN) framework, which incorporates multiwavelength channels of input lightfields and performs parallel phase-only modulation using layered passive mask architecture. A complementary multichannel base learner cluster is formed in homogeneous ensemble framework based on the dispersion during lightwave modulation. In addition, both optical sum operation hybrid (optical-electronic) maxout are performed for motivating BS-D2NN to...
A focus-swing liquid-crystal (LC) microlens with two patterned electrodes and filled in nematic liquid crystal is proposed. In order to lower the level of applied voltage signal effectively increase range, bottom electrode designed as a circular structure. The top composed four stripe-patterned subelectrodes, which are powered, respectively generate expecting potential drive focus swing focal plane microlens. common optical properties LC behavior formed demonstrated experimentally.
To develop an intelligent imaging detector array, a diffractive neural network with strong robustness based on the Weight-Noise-Injection training is proposed. According to layered transformation under existing several errors, accurate and fast object classification can be achieved. The fact that mapping between input image label in mode learned, means prediction of optical being insensitive disturbances so as improve its noise resistance remarkably. By comparing accuracy different...
A lightfield camera prototype is constructed by directly coupling a liquid-crystal (LC) microlens array with an arrayed photosensitive sensor for performing LC-guided refocusing-rendering imaging attached computing disparity map and extracting featured contours of targets. The proposed presents capability efficiently selecting the clarity value electronic targets interested. Two coefficients calibration coefficient k rendering C are defined quantitively adjusting operations about images...
Abstract Whether in the realms of computer vision, robotics, or environmental monitoring, ability to monitor and follow specific targets amidst intricate surroundings is essential for numerous applications. However, achieving rapid efficient target tracking remains a challenge. Here we propose an optical implementation with negligible digital post-processing, leveraging all-optical information processing. This work combines diffractive-based nerual network layered liquid crystal electrical...
An electrically tunable infrared (IR) filter based on the liquid crystal (LC) Fabry–Perot (FP) key structure, which works in wavelength range from 5.5 to 12 μm, is designed and fabricated successfully. Both planar reflective mirrors with a very high reflectivity of ∼95%, are shaped by depositing layer aluminum (Al) film over one side double-sided polished zinc selenide wafer, coupled into dual-mirror FP cavity. The LC materials filled cavity thickness ∼7.5 μm for constructing LC–FP filter,...
In this paper, we present a kind of dual-mode photosensitive arrays (DMPAs) constructed by hybrid integration liquid crystal microlens array (LCMLA) driven electrically and CMOS sensor array, which can be used to measure both the conventional intensity images corresponding wavefronts objects. We utilize materials shape with tunable focal length. Through switching voltage signal on off, acquired through DMPAs, sequentially. use white light obtain object's for avoiding losing important...