A5027311730- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Ferroelectric and Negative Capacitance Devices
- Advanced Photocatalysis Techniques
- Semiconductor materials and devices
- Nanowire Synthesis and Applications
- Copper-based nanomaterials and applications
- CCD and CMOS Imaging Sensors
- Energy, Environment, Economic Growth
- GaN-based semiconductor devices and materials
- Nanoparticles: synthesis and applications
- Electrochemical Analysis and Applications
- Neural dynamics and brain function
- Transition Metal Oxide Nanomaterials
- Nanoplatforms for cancer theranostics
- Air Quality Monitoring and Forecasting
- Energy, Environment, and Transportation Policies
- Environmental Impact and Sustainability
- Perovskite Materials and Applications
- Traffic Prediction and Management Techniques
- Quantum Dots Synthesis And Properties
- Organic Light-Emitting Diodes Research
- Image Enhancement Techniques
- Advanced Sensor and Energy Harvesting Materials
Soochow University
2015-2024
Gansu Provincial Hospital
2024
Anhui University
2018-2024
Nanjing University of Information Science and Technology
2024
Qingdao University
2021-2023
Affiliated Hospital of Qingdao University
2021-2023
Hefei University of Technology
2020-2023
Shanghai Jiao Tong University
2015-2022
Universitat de Barcelona
2019-2020
Institute for Microelectronics and Microsystems
2017
Abstract Resistive switching (RS) is an interesting property shown by some materials systems that, especially during the last decade, has gained a lot of interest for fabrication electronic devices, with nonvolatile memories being those that have received most attention. The presence and quality RS phenomenon in system can be studied using different prototype cells, performing experiments, displaying figures merit, developing computational analyses. Therefore, real usefulness impact findings...
High-performance organic neuromorphic devices with miniaturized device size and computing capability are essential elements for developing brain-inspired humanoid intelligence technique. However, due to the structural inhomogeneity of most materials, downscaling such nanoscale their high-density integration into compact matrices reliable performance remain challenging at moment. Herein, based on design a semicrystalline polymer PBFCL10 ordered structure regulate dense uniform formation...
Machine vision is an indispensable part of today's artificial intelligence. The visual systems used in industrial production and domestic daily life rely significantly on cameras image‐processing components for live monitoring target identifying. They, however, often suffer from bulky volume, high energy consumption, more critically, lack adaptive responsiveness under extreme lighting conditions thus possible mortal disability flash blinding or nyctalopia applications such as auto‐piloting....
Abstract In this letter, high power density AlGaN/GaN electron-mobility transistors (HEMTs) on a freestanding GaN substrate are reported. An asymmetric Γ-shaped 500-nm gate with field plate of 650 nm is introduced to improve microwave performance. The breakdown voltage (BV) increased more than 200 V for the fabricated device gate-to-source and gate-to-drain distances 1.08 2.92 μ m. A record continuous-wave 11.2 W/mm@10 GHz realized drain bias 70 V. maximum oscillation frequency ( f max )...
One main difficulty for the technological development of photoelectrochemical (PEC) water splitting (WS) devices is fabrication active, stable and cost-effective photoelectrodes that ensure high performance. Here, we report a CuO/Silicon based photoanode, which shows an onset potential oxidation 0.53 V vs SCE at pH 9, is, overpotential 75 mV, stability above 10 h. These values account photovoltage 420 mV due to absorbed photons by silicon, as proven comparing with analogous CuO/FTO...
The performance decay in 2 nm-thick metal-coated silicon photoanodes for water splitting is related to the formation of a thick SiO<sub>X</sub>film at interface, while thicker coatings live longer and degrade due holes.
Memristors have recently gained growing interest due to their potential application as electronic synapses build artificial neural networks for intelligence systems. However, modulating the conductivity of memristors in a dynamic way emulate biological synaptic behaviors is very challenging. Here we show first fabrication memristive using dielectric film (TiO2–x) synthesized via an electrochemical anodization method. Pt/anodic TiO2–x/Ti reliable and reproducible behavior fast switching times...
Memristors have shown an extraordinary potential to emulate the plastic and dynamic electrical behaviors of biological synapses been already used construct neuromorphic systems with in-memory computing unsupervised learning capabilities; moreover, small size simple fabrication process memristors make them ideal candidates for ultradense configurations. So far, properties memristive electronic (i.e., potentiation/depression, relaxation, linearity) extensively analyzed by several groups....
With the aging of Lithium-ion batteries (LIBs) electric vehicles in near future, research on second use retired LIBs is becoming more and critical. The classification method challenging before due to large cell variations. This paper proposes a rapid based battery capacity internal resistance, because with different capacities resistances have voltage curves during charge/discharge. First, piecewise linear fitting established by specified tested their corresponding characteristic voltages...
In this paper, a nonparametric kernel prediction algorithm in machine learning is applied to predict CO 2 emissions. A literature review has been conducted so that proper independent variables can be identified. Traditional parametric modeling approaches and the Gaussian Process Regression (GPR) algorithms were introduced, their performance was summarized. The reliability efficiency of proposed then demonstrated through comparison actual predicted results. results showed GPR method give most...
The development of memristors operating at low switching voltages <50 mV can be very useful to avoid signal amplification in many types circuits, such as those used bioelectronic applications interact with neurons and nerves. Here, it is reported that 400 nm-thick films made dalkyl-dithiophosphoric (DDP) modified copper nanoparticles (CuNPs) exhibit volatile threshold-type resistive (RS) ultralow voltage ≈4 mV. RS observed small nanocells a lateral size nm-2 , during hundreds cycles, an...
Abstract Data encryption is an essential building block in modern electronic systems to prevent spying and hacking. Every day more objects produce data, this needs be encrypted before being transmitted. Hence, designing devices, circuits, for data that can integrated all kinds of consume low amounts energy highly necessary. Here, work reports the fabrication flexible transparent circuits consisting devices exhibit threshold‐type resistive switching with a high degree stochasticity. The...
Abstract Janus 2D materials have drawn substantial attention recently owing to its extraordinary interface properties and promising applications in optoelectronic devices. However, the scalable fabrication of high‐quality is still one main obstacles hinder implementation industry. Herein, a new method (called “chemical breakdown”) developed obtain large‐area uniform graphene oxide (J‐GO) films with high‐quality. Moreover, first application J‐GO field memristive devices presented for...
Transcatheter arterial embolization (TAE) has played a huge role in interventional therapy and tumor of organ hemorrhage accidental hemorrhage. The selection embolic materials with better biocompatibility is an important part TAE. In this work, we prepared gelatin microspheres (GMs) material that simultaneously encapsulates silver sulfide quantum dots (Ag2S QDs) barium sulfate (BaSO4), giving it good near-infrared second region (NIR-II) imaging X-ray effects, while luminescence effect NIR-II...
Abstract Retinal prostheses have the potential to restore partial vision. Object recognition in scenes of daily life is one essential tasks for implant wearers. Still limited by low‐resolution visual percepts provided retinal prostheses, it important investigate and apply image processing methods convey more useful information We proposed two strategies based on Itti's saliency map, region interest ( ROI ) extraction, segmentation. model generated a map from original image, which salient...
Adaptive Machine Vision In article number 2000122, Jinjin Zhao, Guozhong Cao, and Gang Liu design a bioinspired smart machine vision system. Benefiting from the switchable photovoltaic characteristics of perovskite-based sensor devices, high-fidelity adaptive image sensing neuromorphic processing optical information is made possible with sensory neural network, offering new highly efficient computation paradigm for post-Moore era.
China is one of the biggest energy consumers and carbon emitters in world. Understanding factors affecting emissions critical for policymakers to control rising trend emissions. This paper investigates relative importance drivers China. Literature review has been carried out determine a set predominant independent variables; LASSO model then introduced rank among variables. The results find that 1) were mainly driven by economic growth consumption followed population size industrialization;...
In-sensor computing can simultaneously output image information and recognition results through in-situ visual signal processing, which greatly improve the efficiency of machine vision. However, in-sensor is challenging due to requirement controllably adjust sensor's photosensitivity. Herein, it demonstrated a ternary cationic halide Cs0.05FA0.81MA0.14 Pb(I0.85Br0.15)3 (CsFAMA) perovskite, whose External quantum (EQE) value above 80% in entire visible region (400-750 nm), peak responsibility...
AbstractBiosynthesis of silver nanoparticles (AgNPs) has become a promising synthetic strategy in nanotechnology recent years. In this study, the purple sweet potato (Ipomoea batatas L.) root extract was found to have new application for synthesis AgNPs. It is natural, eco-friendly and low-cost procedure that uses as reducing stabilizing agent. The as-prepared AgNPs were characterized by UV–visible spectroscopy, transmission electron microscopy, atomic force X-ray diffraction Fourier...
The native SiO<sub>X</sub>of nickel coated<italic>n</italic>Si photoanodes is replaced by a 2 nm thick Ti film. resulting Ni/Ti/<italic>n</italic>Si reach impressively low onset potential (−42 mV<italic>vs</italic>. SCE) and long stability (10 mA cm<sup>−2</sup>at 0.8 V<italic>vs.</italic>SCE for 6.5 days) the water oxidation process, which comparable to that of more complex expensive cells based on n–p<sup>+</sup>homojunctions.