A5087454088- Advanced Memory and Neural Computing
- Neural dynamics and brain function
- CCD and CMOS Imaging Sensors
- Neuroscience and Neural Engineering
- Ferroelectric and Negative Capacitance Devices
- Neural Networks Stability and Synchronization
- Photoreceptor and optogenetics research
- Neural Networks and Applications
- Advanced X-ray and CT Imaging
- Gas Sensing Nanomaterials and Sensors
- 2D Materials and Applications
- stochastic dynamics and bifurcation
- Medical Imaging Techniques and Applications
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Advanced X-ray Imaging Techniques
- Advanced ceramic materials synthesis
- Neural Networks and Reservoir Computing
- Advanced Thermoelectric Materials and Devices
- Domain Adaptation and Few-Shot Learning
- Quantum-Dot Cellular Automata
- Superconducting Materials and Applications
- Human Pose and Action Recognition
- Advanced Chemical Sensor Technologies
- Calcium Carbonate Crystallization and Inhibition
Southwest University
2015-2025
Shanghai Center for Brain Science and Brain-Inspired Technology
2019-2025
Beijing University of Chemical Technology
2025
Nanjing University of Chinese Medicine
2023-2025
Zhejiang University of Technology
2023-2025
University of Science and Technology of China
2006-2024
Affiliated Hospital of Taishan Medical University
2024
Shandong First Medical University
2024
Nanchang University
2011-2023
Agricultural Product Processing Research Institute
2023
Unmodified gold nanoparticles effectively differentiate unfolded and folded DNA, thus providing a novel approach to colorimetrically probe aptamer-based recognition processes.
Cellular nonlinear/neural network (CNN) has been recognized as a powerful massively parallel architecture capable of solving complex engineering problems by performing trillions analog operations per second. The memristor was theoretically predicted in the late seventies, but it garnered nascent research interest due to recent much-acclaimed discovery nanocrossbar memories engineers at Hewlett-Packard Laboratory. is expected be co-integrated with nanoscale CMOS technology revolutionize...
Abstract Ion migration as well electron transfer and coupling in resistive switching materials endow memristors with a physically tunable conductance to resemble synapses, neurons, their networks. Four different types of volatile another four nonvolatile are systemically surveyed terms the mechanisms electrical properties that basis computing applications. The memristor features spontaneous decay after cease electrical/optical stimulations, which closely related surface atom diffusion,...
Abstract The negative photoconductance (NPC) effect, defined as an increase in resistance upon exposure to illumination, holds great potential for application photoelectric devices. A prepared memristor with the structure of Ag|graphene quantum dots (GQDs)|TiO x |F‐doped SnO 2 exhibits typical bipolar resistive switching (RS) memory behavior. NPC effect is impressively observed high state branch RS memory, enabling function be extended both logic display and multistate data storage....
The memristor has been extensively studied in electrical engineering and biological sciences as a means to compactly implement the synaptic function neural networks. cellular network (CNN) is one of most implementable artificial models capable massively parallel analog processing. In this paper, novel memristive multilayer CNN (Mm-CNN) model presented along with its performance analysis applications. new design, crossbar circuit acts synapse, which realizes signed weight pair memristors...
This paper describes the microfluidic streak plate (MSP), a facile method for high-throughput microbial cell separation and cultivation in nanoliter sessile droplets. The MSP builds upon conventional technique by using devices to generate droplets that can be streaked manually or robotically onto petri dishes prefilled with carrier oil of single cells. In addition, chemical gradients could encoded droplet array comprehensive dose-response analysis. was validated single-cell isolation...
C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> N monolayer is reported with comparable and even more desirable sensing behavior upon small gas molecules in comparison to graphene. In this work, we proposed Pt-doped as a 2D nanomaterials for NO xmlns:xlink="http://www.w3.org/1999/xlink"><i>x</i></sub> detection by DFT method. The Pt atom tends be doped on the <inline-formula xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math...
The N-type negative difference resistance (NDR) is characterized by the peak/valley voltage (Vp/Vv) and corresponding current (Ip/Iv). NDR observed in resistive switching (RS) memory device of Ag|TiO2|F-doped SnO2 at room temperature. After TiO2 film equipped with a nanoporous array, ∼1.2 V gap between Vp Vv effectively downscaled to ∼0.5 V, ∼7.23 mA Ip Iv improved ∼30 mA. It demonstrates that lower power consumption faster time can be obtained memristor. Compensations synergies among...
With the increasing severity of greenhouse gas emissions, studying detection and adsorption gases (GHGs) is indispensable. Therefore, aiming at four typical GHGs (CO2, CH4, N2O, SF6), this study uses density functional theory (DFT) to calculate gas-sensitive properties metal oxide (Ag2O, ZnO)-doped MoSe2 (MO-MoSe2) nanomaterials these gases. By analyzing energy, states, band structure, work function, recovery time, we found that ZnO) doping can markedly enhance capacity monolayer on gases,...
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary screen gas sensor materials for detecting GHGs. In this study, we propose an ideal design strategy with high screening efficiency and low cost targeting four typical GHGs (CO2, CH4, N2O, SF6). This introduces machine learning (ML) methods based on density functional theory (DFT) achieve accurate rapid from a large number of candidate materials. Specifically, include 28 different transition...
Abstract With the advancement of artificial intelligence, optic in-sensing reservoir computing based on emerging semiconductor devices is high desirable for real-time analog signal processing. Here, we disclose a flexible optomemristor C 27 H 30 O 15 /FeO x heterostructure that presents highly sensitive to light stimuli and synaptic features such as short- long-term plasticity (STP LTP), enabling developed implement complex analogy processing through building real-physical dynamic-based...
Abstract Developing photo‐switch molecules that show fluorescence in both monomeric and aggregated states, with light‐controllable wavelength is far‐reaching a great challenge. Spiropyran (SP) has received considerable attention this field. Herein, by conjugating naphthalimide to the indole moiety of SP, new spiropyran derivative, named NMI‐SP obtained. shows dual‐state emission excellent its attributed intramolecular charge transfer character. Moreover, demonstrates obvious photochromic...
Porcine epidemic diarrhea (PED) caused by porcine virus (PEDV) is one of the most devastating diseases in global pig industry due to its high mortality rate piglets. Maternal vaccines can effectively enhance gut-mammary gland-secretory IgA axis boost lactogenic immunity and passive protection nursing piglets against PEDV challenge. From 2017 2021, we collected 882 samples from 303 farms China investigate epidemiology PEDV. The result showed that about 52.15% (158/303) were positive for with...
Pseudomonas aeruginosa is an opportunistic pathogen that predominantly causes nosocomial and community-acquired lung infections. As a member of ESKAPE pathogens, carbapenem-resistant P . (CRPA) compromises the limited therapeutic options, raising urgent demand for development lead compounds against previously-unrecognized drug targets. Biotin important cofactor, which de novo synthesis attractive antimicrobial target in certain recalcitrant Here we report genetic biochemical definition BioH...
In implementations of neuromorphic computing systems (NCS), memristor and its crossbar topology have been widely used to realize fully connected neural networks. However, many networks utilized in real applications often a sparse connectivity, which is hard be efficiently mapped structure. Moreover, the scale normally much larger than that can offered by latest integration technology crossbars. this work, we propose AutoNCS -- an EDA framework automate NCS designs combine crossbars discrete...
Secondary structural and functional abnormalities of the neurovascular unit are important pathological mechanisms following traumatic brain injury (TBI). The maintains blood-brain barrier vascular integrity through interactions among glial cells, pericytes endothelial cells. Trauma-induced neuroinflammation oxidative stress may act as initiating factors for damage after TBI, which in turn impairs cerebral microcirculatory function. Studies have shown that tumor necrosis factor α...
A Fe2O3 film homojunction was orderly prepared by magnetron sputtering and a hydrothermal method. The homojunction-based memristor exhibits an obvious self-selective effect as well typical analogue resistive switching (RS) memory behavior. desirable self-rectifying voltage range (−1 to 1 V), stable resistance ratio, good cycling endurance (&gt;104 cycles), long retention time s) can be obtained from the memristor. Oxygen vacancies (Vo) are inevitably generated during growth of film. RS...