A5102649925- Advanced Memory and Neural Computing
- 2D Materials and Applications
- Perovskite Materials and Applications
- Neural Networks and Applications
- Advanced Battery Technologies Research
- Machine Learning and ELM
- Advancements in Battery Materials
- CCD and CMOS Imaging Sensors
- Advanced Battery Materials and Technologies
- Neural Networks and Reservoir Computing
- Analytical Chemistry and Sensors
- Advanced Optical Sensing Technologies
- Stochastic Gradient Optimization Techniques
- Chalcogenide Semiconductor Thin Films
- Machine Learning in Materials Science
- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Extracellular vesicles in disease
- Model Reduction and Neural Networks
- Neural dynamics and brain function
- Ferroelectric and Negative Capacitance Devices
- Electronic and Structural Properties of Oxides
- Inflammasome and immune disorders
- Quantum Dots Synthesis And Properties
- Conducting polymers and applications
University of Hong Kong
2024-2025
Hong Kong Science and Technology Parks Corporation
2024-2025
Chinese University of Hong Kong
2024
Huazhong University of Science and Technology
2024
McMaster University
2023
North Carolina State University
2015-2020
It is demonstrated that the luminescence efficiency of monolayers composed MoS 2 , WS and WSe significantly limited by substrate can be improved orders magnitude through engineering. The affects mainly doping facilitating defect‐assisted nonradiative exciton recombinations, while other effects including straining dielectric screening play minor roles. may come from substrate‐borne water moisture, latter which much stronger than former for but negligible . Using proper substrates such as mica...
We quantitatively illustrate the fundamental limit that exciton-exciton annihilation (EEA) may impose on light emission of monolayer transition metal dichalcogenide (TMDC) materials. The EEA in TMDC monolayers shows a dependence interaction with substrates as its rate increases from $0.1\phantom{\rule{0.16em}{0ex}}\mathrm{c}{\mathrm{m}}^{2}/\mathrm{s}$ ($0.05\phantom{\rule{0.16em}{0ex}}\mathrm{c}{\mathrm{m}}^{2}/\mathrm{s}$) to...
Silicon (Si) anode has attracted broad attention because of its high theoretical specific capacity and low working potential. However, the severe volumetric changes Si particles during lithiation process cause expansion contraction electrodes, which induces a repeatedly repair solid electrolyte interphase, resulting in an excessive consuming rapid decay. Clearly known deformation stress changing at µε resolution Si-based electrode battery operation provides invaluable information for...
Excitons in semiconductors are usually non interacting and behave like an ideal gas, but may condense to a strongly correlated liquid state, i.e. electron hole (EHL), at high density appropriate temperature. EHL is macroscopic quantum state with exotic properties represents the ultimate attainable charge excitation steady states. It bears great promise for variety of fields such as ultrahigh power photonics science technology. However, condensation gas excitons has often been restricted...
Abstract In recent years, sodium‐ion batteries (SIBs) have attracted a lot of attention and are considered an ideal alternative to lithium‐ion (LIBs). The hard carbon (HC) anode in SIBs presents unique challenge for studying the formation process solid electrolyte interphase (SEI) during initial cycling, owing its distinctive porous structure. This study employs combination ultrasonic scanning techniques differential electrochemical mass spectrometry conduct in‐depth analysis two‐dimensional...
Visual sensors, including 3D light detection and ranging, neuromorphic dynamic vision sensor, conventional frame cameras, are increasingly integrated into edge-side intelligent machines. However, their data heterogeneous, causing complexity in system development. Moreover, digital hardware is constrained by von Neumann bottleneck the physical limit of transistor scaling. The computational demands training ever-growing models further exacerbate these challenges. We propose a hardware-software...
The exciton diffusivity of 2D semiconductors can be improved by 15-fold with trapped charges that screen scattering.
Abstract In recent years, sodium‐ion batteries (SIBs) have attracted a lot of attention and are considered an ideal alternative to lithium‐ion (LIBs). The hard carbon (HC) anode in SIBs presents unique challenge for studying the formation process solid electrolyte interphase (SEI) during initial cycling, owing its distinctive porous structure. This study employs combination ultrasonic scanning techniques differential electrochemical mass spectrometry conduct in‐depth analysis two‐dimensional...
The brain is dynamic, associative, and efficient. It reconfigures by associating the inputs with past experiences, fused memory processing. In contrast, AI models are static, unable to associate run on digital computers physically separated We propose a hardware-software co-design, semantic memory–based dynamic neural network using memristor. associates incoming data experience stored as vectors. implemented noise-robust ternary memristor-based computing-in-memory (CIM) content-addressable...
In this work, we studied surface-enhanced Raman scattering (SERS) of MS2 (M=Mo, W) monolayers that were transferred onto Ag nanorod arrays. Compared to the suspended monolayers, intensity on an substrate was strongly enhanced for both in-plane and out-of-plane vibration modes: up 8 (5) E2g 20 (23) A1g in MoS2 (WS2). This finding reveals a promising SERS achieving uniform strong enhancement two-dimensional materials applications optical detecting sensing.
Alleviating mild cognitive impairment (MCI) is crucial to delay the progression of Alzheimer's disease (AD). Jia-Wei-Kai-Xin-San (JWKXS) applied for treating AD with MCI. However, mechanism JWKXS in treatment MCI unclear. Thus, this study aimed investigate effect and SAMP8 mice models MCI.MCI were established examine learning memory ability explore pathomechanisms brain at 4, 6, 8 months. The treated weeks effects on characterized through Morris water maze HE/Nissl's/immunohistochemical...
Human brains image complicated scenes when reading a novel. Replicating this imagination is one of the ultimate goals AI-Generated Content (AIGC). However, current AIGC methods, such as score-based diffusion, are still deficient in terms rapidity and efficiency. This deficiency rooted difference between brain digital computers. Digital computers have physically separated storage processing units, resulting frequent data transfers during iterative calculations, incurring large time energy...
Human beings construct perception of space by integrating sparse observations into massively interconnected synapses and neurons, offering a superior parallelism efficiency. Replicating this capability in AI finds wide applications medical imaging, AR/VR, embodied AI, where input data is often computing resources are limited. However, traditional signal reconstruction methods on digital computers face both software hardware challenges. On the front, difficulties arise from storage...
Digital twins, the cornerstone of Industry 4.0, replicate real-world entities through computer models, revolutionising fields such as manufacturing management and industrial automation. Recent advances in machine learning provide data-driven methods for developing digital twins using discrete-time data finite-depth models on computers. However, this approach fails to capture underlying continuous dynamics struggles with modelling complex system behaviour. Additionally, architecture...
The human brain is a complex spiking neural network (SNN) that learns multimodal signals in zero-shot manner by generalizing existing knowledge. Remarkably, the achieves this with minimal power consumption, using event-based propagate within its structure. However, mimicking neuromorphic hardware presents both and software challenges. Hardware limitations, such as slowdown of Moore's law von Neumann bottleneck, hinder efficiency digital computers. On side, SNNs are known for their difficult...
We systematically measure the dielectric function of atomically thin MoS2 films with different layer numbers and demonstrate that excitonic effects play a dominant role in when are less than 5-7 layers thick. The shows an anomalous dependence on number. It decreases number increasing thick but turns to increase for thicker films. show this is because effect very strong its contribution may dominate over band structure. also extract value layer-dependent exciton binding energy Bohr radius by...
Visual sensors, including 3D LiDAR, neuromorphic DVS and conventional frame cameras, are increasingly integrated into edge-side intelligent machines. Realizing intensive multi-sensory data analysis directly on edge machines is crucial for numerous emerging applications, such as augmented virtual reality unmanned aerial vehicles, which necessitates unified representation, unprecedented hardware energy efficiency rapid model training. However, intrinsically heterogeneous, causing significant...