A5100328394- Photonic Crystals and Applications
- Anomaly Detection Techniques and Applications
- Optical Coatings and Gratings
- Complex Network Analysis Techniques
- Opportunistic and Delay-Tolerant Networks
- Nanomaterials and Printing Technologies
- Modular Robots and Swarm Intelligence
- Topological Materials and Phenomena
- Force Microscopy Techniques and Applications
- Advanced Optical Sensing Technologies
- Diamond and Carbon-based Materials Research
- Quantum and electron transport phenomena
- Nanofabrication and Lithography Techniques
- Advanced Graph Neural Networks
- Surface and Thin Film Phenomena
- Network Security and Intrusion Detection
- Advanced Physical and Chemical Molecular Interactions
- Soil and Unsaturated Flow
- Cell Image Analysis Techniques
- Nonlocal and gradient elasticity in micro/nano structures
- Human Mobility and Location-Based Analysis
- Semiconductor materials and interfaces
- Dam Engineering and Safety
- Chemical and Physical Properties of Materials
- Advanced Text Analysis Techniques
Chinese Academy of Sciences
2024-2025
Shaanxi University of Science and Technology
2023-2025
Institute of Computing Technology
2024-2025
Nanchang Hangkong University
2022-2024
Peng Cheng Laboratory
2024
China Mobile (China)
2024
Ningbo University
2024
University of Chinese Academy of Sciences
2024
He Eye Hospital
2024
Hohai University
2024
This work reports an efficient melt compression method for fabricating robust CdS composite photonic crystal films with vivid and mechanically responsive structural colors that can be tailored recombined into multicolor patterns facilely.
The innovative application of static layering method to deposit SiO 2 nanoparticles with more uniform diameter enables the assembly angle-dependent and liquid-responsive photonic crystals be realized quickly.
A novel APC structural color film with excellent visibility and saturation is fabricated through the layer-by-layer self-assembly of SiO 2 @Ag microspheres.
AbstractThis paper proposes an elastic topological resonator derived from the Kekulé tight-binding model, which enables quantum spin Hall effect (QSHE). Band inversion in system is realized through fine-tuning intracellular coupling constants. With full-wave simulations, interface configurations demonstrate robust spin-locked edge state transport characteristic, featuring excellent fidelity via defects and anti-direct transmission. Then, a hexagonal located beside straight waveguide to...
Abstract High energy electrons in planetary radiation belts are a major threat to satellites and communications deep space applications. In order predict the variations of energetic electron fluxes for different channels, we proposed new ensemble machine leaning model differential flux from 30 keV 4 MeV Earth's based on RBSP‐A observation data March 2013 December 2017. The neural network (DNN), convolutional (CNN), combination CNN DNN (CNN&DNN), linear regression (LR), light gradient...
A design for a large-scale surface code quantum processor based on node/network approach is introduced semiconductor dot spin qubits. The minimal node contains only 7 dots, and nodes are separated the micron scale, creating useful space wiring interconnects integration of conventional transistor circuits. Entanglement distributed between neighbouring by loading singlets locally then shuttling one member pair through linear array empty dots. Each data qubit, two ancilla qubits, additional...
Timely detection of abnormal behavior in power monitoring systems is crucial for system stability. Traditional log anomaly analysis methods have limitations, especially handling multi-source or multi-dimensional data. This paper introduces a method named CLSTMlog, which combines Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) networks, making the most CNN's ability to extract local features LSTM's capability handle temporal relationships. Experimental results demonstrate...
This paper discusses recent progress in the realization of fully digital Silicon Photomultipliers (SiPMs) an advanced 130nm CMOS imaging process. A dedicated electrical/optical crosstalk characterization chip is reported, featuring a 16×16 SPAD SiPM with on-chip quench, enable/disable and readout circuitry positioned outside array. Recent advances well sharing are employed to deliver fill factor 38%. Integral <;2% was measured between its neighbors - lowest yet reported for high structure...
In recent years, gun detection and threat surveillance became a popular issue as violence continued to threaten public safety. Convolution Neural Networks (CNN) has achieved impressive precision with the advancements in graphic processing units. While many articles have proposed beneficial complex architectures within neural network, there been little study on effective image preprocessing techniques that supplement networks. With objective of increasing net using techniques, this research...
Link prediction for opportunistic networks faces the challenges of frequent changes in topology and complex variable spatial-temporal information. Most existing studies focus on temporal or spatial features, ignoring ample potential In order to better capture correlations evolution explore their information, a link method based attention convolution network (STA-TCN) is proposed. It slices into discrete snapshots. A state matrix information attribute constructed represent Time convolutional...
Robust photonic crystal films with vivid colors are fabricated through coordination-bond assisted melt compression and recombined into multicolor patterns.
The dynamic evolution of networks opportunities is very complex, which brings challenges to link prediction. By analyzing the mobile characteristics nodes, a new prediction algorithm opportunistic based on 3D convolutional neural network (3D-CNN) was proposed. It uses information whole topology predict possible changes local links. In this paper, attributes under different dimensions, such as time, space, correlation between are combined represent networks. pattern classification method...