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Structural Engineering of Anode Materials for Low-Temperature Lithium-Ion Batteries:Mechanisms,Strategies,and Prospects

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Nano-Micro Letters 2024年第8期16卷 169-195页

作者： guan wang Guixin wang Linfeng Fei Lina Zhao Haitao Zhang Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process EngineeringChinese Academy of SciencesBeijing 100190People’s Republic of China School of Chemical Engineering Sichuan UniversityChengdu 610065People’s Republic of China School of Energy Materials and Chemical Engineering Hefei UniversityHefei 230601People’s Republic of China School of Materials Science and Engineering Nanchang UniversityNanchang 330031People’s Republic of China Key Laboratory of Polymer and Catalyst Synthesis Technology of Liaoning Province School of Environmental and Chemical EngineeringShenyang University of TechnologyShenyang 110870People’s Republic of China

The severe degradation of electrochemical performance for lithium-ion batteries(LIBs)at low temperatures poses a significant challenge to their practical ***,extensive efforts have been contributed to explore novel anode materials with high electronic conductivity and rapid Li^(+)diffusion kinetics for achieving favorable low-temperature performance of ***,we try to review the recent reports on the synthesis and characterizations of low-temperature anode ***,we summarize the underlying mechanisms responsible for the performance degradation of anode materials at subzero ***,detailed discussions concerning the key pathways(boosting electronic conductivity,enhancing Li^(+)diffusion kinetics,and inhibiting lithium dendrite)for improving the low-temperature performance of anode materials are ***,several commonly used low-temperature anode materials are briefly ***,recent progress in the engineering of these low-temperature anode materials is summarized in terms of structural design,morphology control,surface&interface modifications,and multiphase ***,the challenges that remain to be solved in the field of low-temperature anode materials are *** review was organized to offer valuable insights and guidance for next-generation LIBs with excellent low-temperature electrochemical performance.

关键词： Low-temperature performance Anode materials Microstructural regulations Surface modifications

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Grating-free autofocus for single-pixel microscopic imaging

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Photonics Research 2024年第6期12卷 1313-1321页

作者： guan wang HUAXIA DENG YU CAI MENGCHAO MA XIANG ZHONG XINGLONG GONG CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsUniversity of Science and Technology of ChinaHefei 230027China School of Instrument Science and Opto-electronics Engineering Hefei University of TechnologyHefei 230009China

As a computational technology,single-pixel microscopic imaging(SPMI)transfers the target’s spatial information into a temporal *** traditional focusing method of imaging before evaluation is not applicable to the SPMI *** propose a grating-free autofocus strategy derived from the physical mechanism of optical *** the amplitude information of just one high-frequency point in the spectrum is all that is needed to achieve fast autofocus with the SPMI ***,only four patterns need to be cyclically projected,enabling efficient localization of the focal plane based on the measurement *** demonstrate SPMI autofocus experiments at micrometer and even nanometer depths of *** proposed method can be extended to achieve SMPI autofocus with invisible optical pattern illumination.

关键词： optical system illumination

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Protein tyrosine phosphatases:emerging role in cancer therapy resistance

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Cancer Communications 2024年第6期44卷 637-653页

作者： Min Zhao Wen Shuai Zehao Su Ping Xu Aoxue wang Qiu Sun guan wang Innovation Center of Nursing Research Nursing Key Laboratory of Sichuan ProvinceDepartment of BiotherapyCancer Center and State Key Laboratory of BiotherapyNational Clinical Research Center for GeriatricsWest China HospitalWest China School of NursingSichuan UniversityChengduSichuanP.R.China West China Biomedical Big Data Center Med-X Center for InformaticsSichuan UniversityChengduSichuanP.R.China Emergency Department Zigong Fourth People’s HospitalChengduSichuanP.R.China

Background:Tyrosine phosphorylation of intracellular proteins is a posttranslational modification that plays a regulatory role in signal transduction during cellular *** of signal transduction proteins caused by protein tyrosine phosphatases(PTPs)contributed their role as a convergent node to mediate cross-talk between signaling *** the context of cancer,PTP-mediated pathways have been identified as signaling hubs that enabled cancer cells to mitigate stress induced by clinical *** is achieved by the promotion of constitutive activation of growth-stimulatory signaling pathways or modulation of the immune-suppressive tumor *** evidences suggested that anticancer drugs will release their greatest therapeutic potency when combined with PTP inhibitors,reversing drug resistance that was responsible for clinical failures during cancer *** covered:This review aimed to elaborate recent insights that supported the involvement of PTP-mediated pathways in the development of resistance to targeted therapy and immune-checkpoint *** opinion:This review proposed the notion of PTP inhibition in anticancer combination therapy as a potential strategy in clinic to achieve long-term tumor *** clinical trials are currently underway to assess the safety and efficacy of combination therapy in advanced-stage tumors.

关键词： cancer treatment combination therapy drug resistance protein tyrosine phosphatase

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Plasma induced grain boundaries to boost electrochemical reduction of CO_(2)to formate

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Journal of Energy Chemistry 2024年第8期95卷 636-643,I0014页

作者： guan wang Shengtao Zhong Xiaoqian Xiong Jing Li Fangyuan wang Li Huo Daoxiong Wu Xingqi Han Zhitong wang Qi Chen Xinlong Tian Peilin Deng School of Marine Science and Engineering State Key Laboratory of Marine Resource Utilization in South China SeaHainan UniversityHaikou 570228HainanChina

Bismuth-based catalysts are highly promising for the electrochemical carbon dioxide reduction reaction(eCO_(2)RR)to formate ***,achieving high activity and selectivity towards formate and ensuring long-term stability remains *** work reports the oxygen plasma inducing strategy to construct the abundant grain boundaries of Bi/BiO_x on ultrathin two-dimensional Bi *** oxygen plasma-treated Bi nanosheet(OP-Bi)exhibits over 90%Faradaic efficiency(FE)for formate at a wide potential range from-0.5 to-1.1 V,and maintains a great stability catalytic performance without significant decay over 30 h in flow ***,membrane electrode assembly(MEA)device with OPBi as catalyst sustains the robust current density of 100 mA cm^(-2)over 50 h,maintaining a formate FE above 90%.In addition,rechargeable Zn-CO_(2)battery presents the peak power density of1.22 mW cm^(-2)with OP-Bi as bifunctional *** mechanism experiments demonstrate that the high-density grain boundaries of OP-Bi provide more exposed active sites,faster electron transfer capacity,and the stronger intrinsic activity of Bi *** situ spectroscopy and theo retical calculations further elucidate that the unsaturated Bi coordination atoms between the grain boundaries can effectively activate CO_(2)molecules through elongating the C-O bond,and reducing the formation energy barrier of the key intermediate(^(*)OCOH),thereby enhancing the catalytic performance of eCO_(2)RR to formate product.

关键词： CO_(2)electroreduction Bi nanosheet Grain boundary Unsaturation Bi atoms MEA device

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Photophysical properties of nitrogen-doped carbon quantum dots synthesized by graphite

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Journal of Materiomics 2024年第4期10卷 828-836页

作者： Jia Liu Hailong Yu guan wang Shuang Yang Meichen Li Xin Zhang Yang Jia Yachen Gao School of Electronic Engineering Heilongjiang UniversityHarbin150080HeilongjiangChina College of Communication and Electronic Engineering Qiqihar UniversityQiqihar161000HeilongjiangChina

Here,nitrogen-doped carbon quantum dots(N-CQDs)were successfully synthesized by the solvothermal method using graphite as the carbon source and N,N-dimethylformamide as the nitrogen *** characterized the structure and chemical constitution of N-CQDs using X-ray diffraction,Fourier transform infrared spectroscopy and X-ray photoelectron *** investigated the pump-and temperature-dependent photoluminescence(PL)properties and the dynamic exciton recombination processes of N-CQDs,using both steady-state and time-resolved PL *** spectral results show that the PL emission peak located at 518 nm at room temperature,mainly originates from the n-π∗transition on the surface of *** pump fluence and PL integral intensity were analyzed to demonstrate the existence of single-photon excitation under the 405 nm laser *** the temperature increases,the non-radiative transition gradually increases,which decreases the PL intensity,the full width at half maxima first narrows and then widens and the PL lifetime gradually ***,we combined the N-CQDs with chip to prepare light-emitting diode(LED).The resulting chromaticity coordinate was obtained to be(0.29,0.40).This study offers a comprehensive understanding of the luminescence mechanism in N-doped CQDs and introduces a novel approach for the quickly fabrication of full-color display LEDs.

关键词： Carbon quantum dots Nitrogen-doped Photoluminescence Temperature-dependent Non-radiative transition

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Graphene from microwave-initiated upcycling of waste polyethylene for electrocatalytic reduction of chloramphenicol

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Chinese Chemical Letters 2024年第4期35卷 187-192页

作者： Qiang Cao Xue-Feng Cheng Jia wang Chang Zhou Liu-Jun Yang guan wang Dong-Yun Chen Jing-Hui He Jian-Mei Lu College of Chemistry Chemical Engineering and Materials ScienceCollaborative Innovation Center of Suzhou Nano Science and TechnologySoochow UniversitySuzhou 215123China

Waste polyolefin plastics, accounting for 50% of all plastic waste, represent a tremendously unexploited carbon source. Efficiently upcycling polyolefin waste into value-added carbon materials for waste water treatment avoiding using noble metals is challenging but economically and environmentally sustainable. In this work, MAX-Ti_(3)AlC_(2) supported Fe selectively catalyzes polyolefin into few-layered graphene in 5 min under microwave treatment. Graphene and MAX supported Fe(Fe@MLC) can completely(99.9%)degrade chloramphenicol(CAP) within 60 min, retain robust after 10 cycles and work efficiently at a wide p H range(3.87–13.03), avoiding the usage of noble metal. Moreover, the electrochemical active surface area(ECSA) of Fe@MLC is 2.7 times higher than that of commercial Pt/C. This work provides a cheap and efficient catalyst that promotes deconstruction of plastic wastes and indirectly degrades antibiotics thereby realizes the treatment of waste water with waste plastic.

关键词： Microwave Ti_(3)AlC_(2) Electrochemistry Dechlorination Chloramphenicol

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Remaining Useful Life Prediction Method for Multi-Component System Considering Maintenance:Subsea Christmas Tree System as A Case Study

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China Ocean Engineering 2024年第2期38卷 198-209页

作者： WU Qi-bing CAI Bao-ping FAN Hong-yan wang guan-nan RAO Xi GE Weifeng SHAO Xiao-yan LIU Yong-hong CNOOC Safety Technology Services Co. Ltd.Tianjin 300456China College of Mechanical and Electronic Engineering China University of PetroleumQingdao 266580China CNOOC EnerTech Safety&Environmental Protection BranchTianjin 300456China

Maintenance is an important technical measure to maintain and restore the performance status of equipment and ensure the safety of the production process in industrial production,and is an indispensable part of prediction and health ***,most of the existing remaining useful life(RUL)prediction methods assume that there is no maintenance or only perfect maintenance during the whole life cycle;thus,the predicted RUL value of the system is obviously lower than its actual operating *** complex environment of the system further increases the difficulty of maintenance,and its maintenance nodes and maintenance degree are limited by the construction period and working conditions,which increases the difficulty of RUL *** RUL prediction method for a multi-omponent system based on the Wiener process considering maintenance is *** performance degradation model of components is established by a dynamic Bayesian network as the initial model,which solves the uncertainty of insufficient data *** on the experience of experts,the degree of degradation is divided according to Poisson process simulation random failure,and different maintenance strategies are used to estimate a variety of condition maintenance *** example of a subsea tree system is given to verify the effectiveness of the proposed method.

关键词： remaining useful life Wiener process dynamic Bayesian networks maintenance subsea Christmas tree system

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考虑量化和通信受限的有限时间确定学习控制及其应用

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控制理论与应用 2024年第4期41卷 649-657页

作者：王冠夏红伟哈尔滨工业大学航天学院黑龙江哈尔滨150001

本文针对一类含有量化输入和外部扰动的严格反馈非线性系统,提出了一种考虑量化和通信受限的有限时间确定学习控制方法.该方法包含离线学习训练和在线触发控制两个阶段.首先,在离线学习训练阶段采用神经网络对系统中的未知非线性函数进... 详细信息

本文针对一类含有量化输入和外部扰动的严格反馈非线性系统,提出了一种考虑量化和通信受限的有限时间确定学习控制方法.该方法包含离线学习训练和在线触发控制两个阶段.首先,在离线学习训练阶段采用神经网络对系统中的未知非线性函数进行逼近,引入指令滤波反步技术克服“计算爆炸”的问题,并在控制过程中实现系统未知动态的知识获取和存储.随后,利用所获取的经验知识,设计了基于确定学习机制的在线触发控制器.应用李雅普诺夫稳定性理论证明了闭环系统实际有限时间稳定,跟踪误差在有限时间内收敛到原点的邻域内,并能够排除采样中的芝诺现象.最后,通过飞行器仿真验证了所提方案的有效性.

关键词：确定学习量化控制神经网络有限时间收敛事件触发

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Time Series Prediction in Pharmaceutical Process

Time Series Prediction in Pharmaceutical Process

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第35届中国过程控制会议

作者： Hu Xu Yingping Zhuang guan wang Changdi Li Wenhai wang Xinggao Liu School of Biotechnology East China University of Science and Technology

The rapid growth of biomanufacturing industry, as well as its large-scale, high-speed and automated nature, have made it a key sector in manufacturing industry. Despite these advances, intelligent control of biomanufacturing processes still faces challenges, especially due to the complex, multi-scale and nonlinear characteristics of microbial and cellular metabolic *** methods struggle to accurately predict and control these processes owing to the sophisticated spatial dependencies between variables and the lack of utilization of historical data patterns, especially in the data tails, which leads to inaccurate and unsmooth predictions. In this study, we address these issues by introducing the SmoothGNN framework, which aims to enhance the accuracy and smoothness of predictions of key metrics for industrial pharmaceutical processes. Our framework consists of two key innovations: a spatial dependency learning module that automatically identifies and learns spatial dependencies between process variables, aiming to achieve accurate prediction results, and a smoothing module that intelligently handles discontinuities between predicted outcomes and historical data, thereby ensuring smooth prediction trajectories. We have validated the effectiveness of the SmoothGNN framework using real-world industrial pharmaceutical data, demonstrating that it significantly outperforms existing methods for time series prediction task.

关键词： Time Series Prediction Pharmaceutical Process Spatial Dependency Smooth Prediction

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Resource Allocation and Computation Offloading Framework of Bio-ind ustrial IoT Based on Game Cybernetics and Stochastic Reinforcement Learning

Resource Allocation and Computation Offloading Framework of ...

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第35届中国过程控制会议

作者： He Zhang Zijian Tian Yingping Zhuang guan wang Xinggao Liu Zhejiang University State Key Laboratory of Industrial Control Technology NGICS Platform Control Department Zhejiang University School of Biotechnology East China University of Science and Technology

The Bio-industrial Internet of Things(BIoT) is promoting a new round of industrial technology revolution with its p owerful technology integration capability. Resource allocation and computation offloading within the emerging technology sys tem is the key way to achieve the goal of carbon neutrality and peak carbon dioxide emissions' dual carbon in the energy ***, most existing studies suffer from high energy consumption, high latency, and poor robustness, preventing multi-obje ctive optimization from practical applications. Given this, we first propose a novel framework named resource allocation and c omputation offloading network(RACOON) to coordinate the allocation of resources. Further, based on game cybernetics, we st udy the resource allocation and computation offloading problems and establish a stochastic game-based model. What's more, t he existence of Nash equilibrium is proved in the scene of BIoT with multi-intelligent devices. Then we propose a robust multi-agent resource allocation algorithm(RMARAA) to address this optimazation problem. Experiments show that the system can s till maintain high dynamic performance with the increase of users, and can be applied to large-scale BIoT systems.

关键词： Bio-industrial IoT Resource allocation Computation offloading Game theory Stochastic reinforcement lea rning

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