A5102889029- Advanced Optical Network Technologies
- Optical Network Technologies
- Advanced battery technologies research
- Software-Defined Networks and 5G
- Advanced Photonic Communication Systems
- Advanced Battery Materials and Technologies
- Advanced MIMO Systems Optimization
- Advanced Power Amplifier Design
- Perovskite Materials and Applications
- 2D Materials and Applications
- Radio Frequency Integrated Circuit Design
- Gas Sensing Nanomaterials and Sensors
- Lubricants and Their Additives
- Advanced Wireless Network Optimization
- Barrier Structure and Function Studies
- Wireless Networks and Protocols
- Advancements in Battery Materials
- Millimeter-Wave Propagation and Modeling
- Machine Learning in Materials Science
- Electromagnetic Compatibility and Noise Suppression
- Microwave Engineering and Waveguides
- Polyoxometalates: Synthesis and Applications
- Physiological and biochemical adaptations
- Energy Harvesting in Wireless Networks
- 3D Modeling in Geospatial Applications
Nanjing University
2022-2025
Collaborative Innovation Center of Advanced Microstructures
2024
Beijing University of Chemical Technology
2024
Jiangsu Changjiang Electronics Technology (China)
2024
Jiangsu University
2023
Southeast University
2012-2022
Hunan Normal University
2021
Second Hospital of Tianjin Medical University
2019
East China Normal University
2016-2019
Tianjin Medical University
2019
Abstract Quasi‐solid aqueous zinc ion batteries (AZIBs) based on flexible hydrogel electrolytes are promising substitutions of lithium‐ion owing to their intrinsic safety, low cost, eco‐friendliness and wearability. However, it remains a challenge lower the freezing point without sacrificing fundamental advantages such as conductivity mechanical properties. Herein, an all‐around electrolyte is constructed through convenient energy dissipation strategy via rapid reversible...
Aqueous zinc-ion batteries (AZIBs) have attracted great attention for sustainable energy storage due to their high safety and low cost. However, the performance of AZIBs is restricted by electrolyte decomposition, cathode degradation, anodic dendrite growth. Herein, we propose (2-hydroxypropyl)-β-cyclodextrin electrolytes with synergistic functions an excluded-volume effect hydrogen-bond networks, which greatly reduce activity water molecules, expand electrochemical window electrolyte,...
Abstract Quasi‐solid‐state aqueous zinc ion batteries suffer from anodic dendrite growth during plating/stripping processes, impeding their commercial application. The inhibition of dendrites by high‐modulus electrolytes has been proven to be effective. However, hydrogel are difficult achieve high modulus owing inherent water contents. This work reports a electrolyte with ultrahigh that can overcome the stress through mechanical suppression effect. By combining wet‐annealing,...
Developing novel fluoroether electrolytes with high‐voltage stability is an effective strategy to improve the performance of lithium metal batteries (LMB). However, vast chemical space underexplored due absence tools evaluate potential used in LMB. Herein, a framework was developed combination Voting ensemble algorithms and graph convolution neural network (GCNN), allowing fast assessment oxidative non‐aqueous liquid electrolytes, synthesizability solvents as well solvation ability them...
Developing novel fluoroether electrolytes with high‐voltage stability is an effective strategy to improve the performance of lithium metal batteries (LMB). However, vast chemical space underexplored due absence tools evaluate potential used in LMB. Herein, a framework was developed combination Voting ensemble algorithms and graph convolution neural network (GCNN), allowing fast assessment oxidative non‐aqueous liquid electrolytes, synthesizability solvents as well solvation ability them...
Abstract Harvesting energy directly in oceans by electrochemical devices is essential for driving underwater appliances such as vehicles or detectors. Owing to the extreme undersea environment, it important but difficult use with both a high density and power simultaneously. Inspired marine organisms that have switchable extraction modes (aerobic respiration long‐term living anaerobic provide instantaneously output fast movement), an auto‐switchable dual‐mode seawater system presented...
Semaphorin 3A (SEMA3A) is a member of the Semaphorins family, class membrane-associated protein that participates in construction nerve networks. SEMA3A has been reported to affect vascular permeability previously, but its influence traumatic brain injury (TBI) still unknown. To investigate effects SEMA3A, we used mouse TBI model with controlled cortical impact (CCI) device and BBB vitro oxygen-glucose deprivation (OGD). We tested post-TBI changes related receptors (Nrp-1 plexin-A1)...
The main bearing of the shield machine has a huge structure and severe service conditions, which are prone to wear fatigue damage. To improve anti-wear anti-fatigue ability raceway surface bearing, laser transformation hardening under different parameters material 42CrMo steel was researched. effects power scanning speed on phase depth hardened layer were studied. numerical model verified using theoretical experimental results. Orthogonal tables processing established. results show that...
Network function virtualization (NFV) is emerging as a promising paradigm for network architectures. By migrating functions from dedicated hardware appliances to software instances running in virtualized environment, NFV promises offer more flexible way deploy and manage service chains (SFCs). When deploying these SFCs users, the operators require not only user’s demands (e.g., end-to-end delay) be satisfied, but cost of SFC mapping minimized resource consumption). To fulfill two goals, this...
Abstract Ploidy has profound effects on evolution. Perhaps the most compelling effect is related to dominance: In cells with more than one genome copy, of non-dominant deleterious variants are ‘masked’ some extent, leading a reduction in efficacy selection. This, turn, leads increased levels nucleotide diversity, and it may also affect substitution rates. To test this predicted association between ploidy selection, we studied scale per-gene patterns genetic diversity divergence...
The surging mobile traffic poses serious challenges for operators, one of which is the unsustainable growth caused by high energy consumption massively deployed base stations (BSs). Cloud radio access network (CRAN), as a new architecture, proposed to confront this challenge. By isolating baseband unit (BBU) from its remote head (RRH) in BS, BBUs are consolidated into common place (i.e., BBU pool). Since "any-to-any" connection between and RRHs realized CRAN, low utilized can be switched...
We propose a deep reinforcement learning based baseband unit aggregation policy. The proposed policy is able to guarantee users' quality of service while keeping BBU pool energy-efficient. Simulation results show that up 80% less migration traffic can be achieved compared with benchmark heuristics only 11% higher power consumption.
To eliminate the ossification of optical infrastructure and adapt to high-performance Internet applications, network virtualization is an important enabler offer each application type a dedicated virtual (VON). It can provide resource sharing for multiple VON requests on infrastructure, promise efficient use resources. In paper, we first introduce new concept resource-virtualized elastic (RvEON), which not only realizes link-tier spectrum in substrate fiber link (SFL), but also node-tier...
Abstract The overuse of fossil energy reserves emphasizes the necessity for advancement sustainable alternatives. Some functional materials have capacity to directly produce electricity through interactions with ambient humidity, opening up possibilities self‐powered devices. Black phosphorus possesses exceptional physicochemical properties and stability. Herein, fabrication compact flexible moist‐electric generators is explored by directional surficial oxygen defect engineering in black...
Network function virtualization (NFV) is a promising technology that has attracted much attention in both academia and industry. With IT resource virtualization, NFV paradigm could decouple network functions (NFs) from special-purpose hardware equipment, providing more flexibility to service providers facilitating better sharing of physical infrastructure when implementing NFs. Meanwhile, with the introduction flexible-grid elastic optical networks (EONs) virtualized transponders (vTPs), new...
We propose a deep-reinforce-learning (DRL)-based virtual network function (VNF) provisioning algorithm which guarantees efficient VNF reusing while consuming lower spectrum resource. The simulation results show the proposed can achieve better performance than heuristics.
This paper describes a CMOS power amplifier (PA). It discusses how to compromise the size and structure of transistor in design amplifier, elaborate on for parasitics when frequency increases. The designed this adopts two-stage cascade structure. works Class-AB state. uses third-order Chebyshev network output impedance matching achieve large saturation output. A Butterworth is used as inter-stage matching, achieves high transmission efficiency from driver stage through Norton transformation....
This paper proposed a dynamic resource allocation scheme in nonlinear elastic optical networks based on deep reinforcement learning, which achieves significant blocking probability reductions of more than 44.1% compared with baseline algorithms.
A single-element of phased-array receiver front-end has been developed in 0.13µm CMOS for 26–29GHz application. This design uses the All-RF architecture with LNA and phase shifter blocks to achieve lowest NF, rms gain error error. The achieves a post-simulation result NF 6.5dB, 1.9dB, 7.5 degree at 27.5 GHz. whole circuit dissipates 35mW from 1.8-V supply.
Abstract Harvesting energy directly in oceans by electrochemical devices is essential for driving underwater appliances such as vehicles or detectors. Owing to the extreme undersea environment, it important but difficult use with both a high density and power simultaneously. Inspired marine organisms that have switchable extraction modes (aerobic respiration long‐term living anaerobic provide instantaneously output fast movement), an auto‐switchable dual‐mode seawater system presented...
We propose an integer linear programming (ILP) model and a heuristic algorithm for resource-efficient virtual network function (VNF) deployment in inter-datacenter elastic optical networks that minimize both the required resources end-to-end delay.