- Sparse and Compressive Sensing Techniques
- Blind Source Separation Techniques
- Quantum Dots Synthesis And Properties
- Perovskite Materials and Applications
- Force Microscopy Techniques and Applications
- Chalcogenide Semiconductor Thin Films
- Mechanical and Optical Resonators
- Advanced Antenna and Metasurface Technologies
- Metamaterials and Metasurfaces Applications
- Antenna Design and Analysis
- Photoacoustic and Ultrasonic Imaging
- Advanced Memory and Neural Computing
- Terahertz technology and applications
- 2D Materials and Applications
- Advanced MIMO Systems Optimization
- Near-Field Optical Microscopy
- Plasmonic and Surface Plasmon Research
- Quantum-Dot Cellular Automata
- Semiconductor Lasers and Optical Devices
- Advanced biosensing and bioanalysis techniques
- Integrated Circuits and Semiconductor Failure Analysis
- Brain Tumor Detection and Classification
- Advanced Condensed Matter Physics
- Neural dynamics and brain function
- Neural Networks and Applications
Nanjing University
2025
King's College School
2024-2025
King's College London
2023-2024
Guilin University of Electronic Technology
2023-2024
University of Surrey
2020-2023
Beihang University
2016-2019
Queen Mary University of London
2019
Hefei University of Technology
2016-2017
Hefei University
2016-2017
Tetragonal CsPb2Br5 nanosheets were obtained by an oriented attachment of orthorhombic CsPbBr3 nanocubes, involving a lateral shape evolution from octagonal to square. Meanwhile, the experimental results, together with DFT simulation indicated that tetragonal is indirect bandgap semiconductor PL-inactive 2.979 eV.
Hybrid perovskite solar cells (PSCs) are promising candidates in exploring high performance flexible photovoltaics, where a low-temperature-processed metal oxide electron transfer layer (ETL) is highly preferable.
The polar magnets A$_2$Mo$_3$O$_8$ (A=Fe, Mn, Co, and Ni) feature a bipartite structure, where the magnetic A$^{2+}$ ions occupy two different sites with octahedral tetrahedral oxygen coordinations. This structure provides platform for emergence of nontrivial magnetoelectric (ME) effects intriguing excitation behaviors, thus creates significant research interest. In this study, we conduct inelastic neutron scattering measurements on single crystals Mn$_2$Mo$_3$O$_8$, an L-type ferrimagnet in...
The intertwining of magnetism with topology is known to give rise exotic quantum phenomena. Here, we explore the magnetotransport properties NdAlSi, a magnetic Weyl semimetal that spontaneously breaks inversion and time-reversal symmetries hosts large number nodes. We observe significant negative magnetoresistance, which attribute chiral anomaly associated multiple Remarkably, extracted coefficient reaches approximately...
Polarization is one of the basic properties electromagnetic (EM) waves, and polarization conversion essential in many terahertz (THz) applications, including communications sensitive measurements. Due to limitations materials process, existing THz converters generally have disadvantages narrow operating frequency band non-flexibility. We experimentally demonstrate a flexible ultra-broadband converter reflection. It can efficiently convert linearly polarized wave its orthogonal counterpart...
Compressed spectrum sensing (CSS) plays a pivotal role in dynamic access within mobile cognitive radio networks by offering reduced power consumption and lower hardware costs. The multicoset sampler, well-known implementation for periodic nonuniform sampling, has been widely studied is considered promising architecture realizing CSS. This paper focuses on the design of sampling pattern, aiming at enhancing isometry property matrix. Unlike previous studies which assume noise-free setup, our...
Adaptive compressed spectrum sensing (ACSS) can effectively save sampling resources in wideband sensing. Almost all of the existing ACSS algorithms are based on discrete multitone signal model. However, real-world spectra always multiband signals. In this paper, we derive mathematical models and enabling suitable for signals, which has lower computational complexity. Firstly, introduce multicoset system into to sample Besides, propose a leave-one-out cross-validation (LOOCV) scheme with low...
Cognitive radio provides a feasible solution for alleviating the lack of spectrum resources by enabling secondary users to access unused dynamically. Spectrum sensing and learning, as fundamental function dynamic sharing in 5G evolution 6G wireless systems, have been research hotspots worldwide. This paper reviews classic narrowband wideband learning algorithms. The sub-sampling framework recovery algorithms based on compressed theory their hardware implementation are discussed under trend...
Three-dimensional (3D) architecture perovskite solar cells (PSCs) using CdS nanorod (NR) arrays as an electron transport layer were designed and prepared layer-by-layer via a physical-chemical vapor deposition (P-CVD) process. The NRs not only provided scaffold to the film, but also increased interfacial contact between film layer. As optimized result, high power conversion efficiency of 12.46% with short-circuit current density 19.88 mA cm−2, open-circuit voltage 1.01 V fill factor 62.06%...
Compressed spectrum sensing naturally pursues the use of fewer sampling resources to achieve support reconstruction and signal recovery. The theoretical lower boundary averaging rate recover multiband has been proved be twice Landau rate. However, it is still unreachable in practice. Based on multicoset architecture, this paper analyzes influencing factors perfect from three aspects: data model, pattern greedy algorithms, for which practical feasible optimization schemes are proposed. To...
A real-time sub-Nyquist wideband spectrum sensing system for millimeter wave (mmWave) implemented on National Instruments mmWave software-defined radio is presented. Based compressed theory and multicoset sampling architecture, the capable of achieving 3.072 $\textGHz $-bandwidth signal at centre frequency 28.5 $. Bayesian sparsity estimation data decimation are applied to realize robust performance reconstruction under dynamic scenarios enable processing, respectively. This paper presents...
In this paper, a down-conversion polarizer with quantum dots (QDs) integrated is designed for liquid crystal displays (LCDs). By special optical microstructure design between Polyvinyl Alcohol (PVA) and QDs layers, raise of luminance by nearly 60% can be achieved both in simulation experiments. addition, the viewing angle such LCD increases from 55° to 130° color gamut expands 72% 94% National Television Standards Committee (NTSC) standard which implies broad prospect QD polarizer.
Atomic force microscopes are a key tool in nanotechnology that overcome the limitations of optical and provide imaging capabilities with nanoscale resolution. We have developed an atomic microscope uses inexpensive quartz tuning fork as micro cantilever. Because its ease operation open structure, it can be easily customized by students. Due to low costs, is possible every student course has access one setup, allowing all students obtain deep insights into understand principles microscopy.
Due to the poor response of natural materials in terahertz (THz) frequency band, ultra-broadband absorption THz waves is a challenge. In this work, nickel-composite film (NCF) experimentally demonstrated for waves. The NCF consists nickel foam, polydimethylsiloxane (PDMS), and few-layer graphene. foam has three-dimensional structure that can be filled by PDMS By controlling mass fraction graphene PDMS, we reduce surface reflection achieve broadband absorption. For 0.5-mm-thick NCF, when...
Low Earth Orbit satellite Internet has recently been deployed, providing worldwide service with non-terrestrial networks. With the large-scale deployment of both and terrestrial networks, limited spectrum resources will not be allocated enough. Consequently, dynamic sharing is crucial for their coexistence in same spectrum, where accurate sensing essential. However, space more challenging than networks due to variable channel conditions, making single-satellite unstable. Therefore, we first...
Spiking Neural Networks (SNNs) have been recently integrated into Transformer architectures due to their potential reduce computational demands and improve power efficiency.Yet, the implementation of attention mechanism using spiking signals on general-purpose computing platforms remains inefficient.In this paper, we propose a novel framework leveraging stochastic (SC) effectively execute dot-product for SNN-based Transformers.We demonstrate that our approach can achieve high classification...