- Plasmonic and Surface Plasmon Research
- Metamaterials and Metasurfaces Applications
- Scheduling and Optimization Algorithms
- Atomic and Subatomic Physics Research
- Gold and Silver Nanoparticles Synthesis and Applications
- Orbital Angular Momentum in Optics
- Advanced Manufacturing and Logistics Optimization
- Magnetic Field Sensors Techniques
- Magnetic and transport properties of perovskites and related materials
- Characterization and Applications of Magnetic Nanoparticles
- Photonic Crystals and Applications
- Neural Networks and Applications
- Rough Sets and Fuzzy Logic
- Ionosphere and magnetosphere dynamics
- Industrial Technology and Control Systems
- Near-Field Optical Microscopy
- Service-Oriented Architecture and Web Services
- Manufacturing Process and Optimization
- IoT and Edge/Fog Computing
- Thermal Radiation and Cooling Technologies
- Advanced Control Systems Optimization
- Inertial Sensor and Navigation
- Nonlinear Optical Materials Studies
- Advanced biosensing and bioanalysis techniques
- Advanced Antenna and Metasurface Technologies
Anhui Polytechnic University
2022-2025
Chongqing University
2018-2019
An ultra-broadband polarization-insensitive perfect absorber for the 400-4000 nm spectral range is proposed and studied. The composed of a dielectric film phase change material sandwiched between bismuth square ring array continuous mirror. Greater than 94% absorptivity across wavelength an averaged about 97% can be achieved. physical origin results from mixed effect guided mode resonance (GMR), cavity (CR) surface plasmon (SPR). In addition, such property maintained excellent in very large...
In a practical multichannel magnetocardiography (MCG) system based on superconducting quantum interference device (SQUID) magnetometers, the Tesla/Volt coefficient must be precisely calibrated for accurate analysis of heart diseases. this article, we utilize biplanar coil to calibrate SQUID magnetometers in an MCG first time. The design theory is discussed detail, including target-field and Tikhonov regularization method. Also, winding patterns can obtained after discretization stream...
ABSTRACT The rapid and accurate detection of bacterial infections in wounds is crucial for clinical diagnosis. Traditional methods, such as culture polymerase chain reaction (PCR), are invasive time‐consuming. In this study, we propose a non‐invasive method common bacteria wound infections, combining fluorescence hyperspectral imaging (FHSI) with deep learning algorithms. FHSI technology captures data from plates eight species, extracting spectral features within the 420–700 nm wavelength...
In this article, a modified design method is proposed for kind of highly uniform magnetic field (UMF) coil whose target region off-center defined. Combing the traditional (TFM) with slime mould algorithm (SMA), new intelligent excellent searching ability, optimal parameters can be obtained to determine structure designed coil. To further improve uniformity performance in region, distance factor introduced optimize distribution points. According simulation results from finite element...
Considering the requirements of actual production scheduling process, utilization genetic programming hyper-heuristic (GPHH) approach to automatically design dispatching rules (DRs) has recently emerged as a popular optimization approach. However, decision objects and environments for routing sequencing decisions are different in dynamic flexible job shop problem (DFJSSP), leading required feature information. Traditional algorithms that allow these two types share one common set not...
Metallic nanogap dimers can improve surface-enhanced Raman scattering and a variety of nonlinear optical effects by utilizing near-field enhancement based on localized surface plasmon resonance. Unfortunately, the strong dipole–dipole interaction between two metallic nanostructures causes to exhibit severe light scattering. As result, they do not always have structural design that exhibits highest because radiation loss. Here, we suggest employing dark modes further near field nanoantennas...
Magnetically shielded cylinder (MSC) is an efficient way to construct a proper working environment for spin-exchange relaxation-free (SERF) magnetometers. In this article, we propose modified hybrid method combining analytical solutions with finite element analysis (FEA) improve the design efficiency and validity of MSC. Focusing on radial axial shielding factors, number Permalloy-shell can be fast determined as 4 via solutions. Then based carefully built FEA model in COMSOL, factors...
We propose an optical nanoantenna, which is individual nanosphere consisting of two identical metal strips separated by a dielectric spacer (Ag–Ge–Ag) with notch. Such design integrates the advantages array antenna and plasmonic such as high directivity, emission direction control, highly localized field enhancement based on excitation electric magnetic multipoles high-orders surface plasmons in symmetry breaking this nanomatryoshka. Major properties nanoantenna have been revealed...
With the increasing development of knowledge-based technologies in manufacturing, it has been shown as a promising way to solve problems by reusing related knowledge discovered from existing data. When comes computer aided process planning (CAPP), however, most efforts have done on serial operation sequences, ignoring urgent and practical requirement networked which can provide more flexible options. Therefore, we propose novel comprehensive similarity measure for sequences this paper....
Synthetic gradiometers constructed by Superconducting QUantum Interference Device (SQUID) magnetometers are effective ways to suppress the magnetic disturbance while keeping useful signals unaffected. In this paper, in order obtain optimal baseline for a first-order synthetic gradiometer (FOSG) inside thin magnetically shielding room (MSR), modeling method based on flux distributions sensing and reference is proposed. Then model built Ansys platform, can be determined as 6 cm under certain...
Abstract The metallic bowtie antenna has shown great potential to enhance SERS through LSPR. However, it rely heavily on narrow nanogaps excite strong dipole-dipole interactions, which induce field enhancement effects and cause significant light scattering issues. According theoretical analysis numerical simulations, this study proposes a method improve near-field in hybrid nanoantennas by exciting dark plasmon modes. Specifically, mode is achieved coupling large metal-insulator-metal (MIM)...
We propose an optically coupled nanoantenna which contains asymmetric dimer of core-dual shells nanoparticles, and the individual nanoparticle consisting two identical metal strips that separated by a dielectric spacer known as metal-dielectric-metal (MDM) structure. According to dipole-dipole theory Mie theory, we theoretically numerically demonstrate this design can provide unidirectional forward scattering along incident axis light with high f /b radio (known ratio spectra backward...
Dimers made of plasmonic particles support strong field enhancements but suffer from large absorption losses, while low-loss dielectric dimers are limited by relatively weak optical confinement. Hybrid could utilize the advantages both worlds. Here, we propose a hybrid nanoantenna that contains dimer core-dual shell nanoparticles known as metal-dielectric-metal (MDM) structure. We discovered sustained unidirectional forward scattering, which resulted in nearly ideal Kerker condition...
Dielectric-metal nanostructures have lately emerged as one of the most promising approaches to modulating light at optical frequency. Their remarkable electric and magnetic resonances give them a one-of-a-kind ability augment local field enhancements with negligible absorption losses. Here, we propose hybrid metal-dielectric-metal (MDM) nanoantenna that contains dimer three-layers shell nanoparticles. In addition, only theoretically numerically show properties nanoantenna. We found sustained...
With the increasing development of CAPP (Computer Aided Process Planning), an urgent requirement has arisen on how to extract reusable process knowledge effectively. Under this situation, improved AP (affinity propagation) based clustering approach been proposed discover typical routes from massive historical data under consideration effectiveness. Because practical routes, two soft constraints (i.e., quantity constraint and size constraint) have introduced simultaneously in guarantee...
Dynamic flexible job shop scheduling (DFJSS) is an important and complex combinatorial optimization problem. Heuristic methods have been extensively studied proven to be effective in solving the problems, but they still suffer from difficulties real-time when dealing with dynamic environments. In comparison heuristic methods, genetic programming hyper-heuristic (GPHH) more suitable for tackling events since it can make decisions by dispatching rules (DRs) automatically generated based on...
With the overwhelming trend of smart manufacturing and green manufacturing, an automatic scheduling method is urgently required for dynamic flexible job shop (DFJSS) to optimize energy consumption meet indicator. To address this, this paper focuses on using genetic programming hyper-heuristic (GPHH) generate dispatching rules (DRs) which can make decision online minimize consumption. First, flow in DFJSS analyzed two objectives (i.e., mean tardiness ratio useless consumption) are...