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Chinese Journal of Chemical Engineering 2024年第3期67卷 126-134页

作者： Hongnan chen Yifei Sun Bojian Cao Minglong Wang Ming Wang Jinrong zhong Changyu Sun Guangjin chen State Key Laboratory of Heavy Oil Processing China University of PetroleumBeijing 102249China School of Chemistry and Chemical Engineering Changsha University of Science&TechnologyChangsha 410114China

Carbon emission reduction and clean energy development are urgent demands for mankind in the coming *** an efficient CO_(2) storage method can significantly reduce CO_(2) emissions in the short *** this study,we attempted to construct sediment samples with different residual CH_(4) hydrate amounts and reservoir conditions,and then investigate the potentials of both CO_(2) storage and enhanced CH_(4) recovery in depleted gas hydrate deposits in the permafrost and ocean zones,*** results demonstrate that CO_(2) hydrate formation rate can be significantly improved due to the presence of residual hydrate seeds;However,excessive residual hydrates in turn lead to the decrease in CO_(2) storage *** by the T-P conditions of the reservoir,the storage amount of liquid CO_(2) can reach 8 times that of gaseous CO_(2),and CO_(2) stored in hydrate form reaches 2-4 ***,we noticed two other advantages of this *** is that CO_(2) injection can enhance CH_(4) recovery rate and increases CH_(4) recovery by 10%-20%.The second is that hydrate saturation in the reservoir can be restored to 20%-40%,which means that the solid volume of the reservoir avoids serious ***,this is crucial for protecting the goaf *** summary,this approach is greatly promising for high-efficient CO_(2) storage and safe exploitation of gas hydrate.

关键词： Hydrate Depressurization CO_(2) storage CH_(4) production Reservoir remediation

City Network Evolution Characteristics of Smart Industry: Evidence from Yangtze River Delta, China

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Chinese Geographical Science 2024年第5期34卷 829-848页

作者： SHEN Lizhen zhong Zhaocheng chen cheng ZHANG Shanqi ZHEN Feng School of Architecture and Urban Planning Nanjing UniversityNanjing 210093China Hefei Urban Planning&Design Institute Hefei 230041China

The dual-path model of industrial evolution and spatial progression has been widely acknowledged and incorporated into the strategic planning to promote the development of urban industries and regional ***,current research on inter-enter-prise city networks mainly focuses on the single sector of flows on all enterprise branches,such as product value chains and production factors,but neglects that of particular industry *** upon the new economic geography and city networks theory,this paper develops a methodological framework that focuses on the analysis of city network evolution characteristics of smart ***-larly,a conceptual model of smart industry enterprise-industry-city is proposed and then applied to a case study of smart industry in the Yangtze River Delta Region,*** enterprise supplier-customer data,a city network of smart industry is constructed and sub-sequently analyzed with the proposed *** indicate that the smart industry network in Yangtze River Delta Region exhibits a hierarchical structure and the expansion of the network presents a small-world network *** study not only makes a meth-odological contribution for revealing the industrial and spatial evolution path of the current smart industry,but also provides empirical support for the formulation of new economic development policies focused on smart industries,demonstrating the role of city clusters as carriers of regional synergistic development.

关键词： smart industry city networks social network analysis methodological framework Yangtze River Delta,China

Recent progress and prospects of electrolytes for electrocatalytic nitrogen reduction toward ammonia

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Chinese Chemical Letters 2024年第4期35卷 3-16页

作者： Sajid Mahmood Haiyan Wang Fang chen Yijun zhong Yong Hu Key Laboratory of the Ministry of Education for Advanced Catalysis Materials Department of ChemistryZhejiang Normal UniversityJinhua 321004China The Center for Applied Mathematics and Bioinformatics(CAMB) Gulf University for Science and TechnologyMishref 32093Kuwait Hangzhou Institute of Advanced Studies Zhejiang Normal UniversityHangzhou 311231China

Electrochemical nitrogen reduction reaction(ENRR) provides a promising strategy to achieve sustainable synthesis of ammonia. However, despite great efforts devoted to this research field, the problems such as low energy efficiency and weak selectivity still impede its practical implementation. Most of the research to date has been concentrated on creating sophisticated electrocatalysts, and adequate knowledge of electrolytes is still lacking. Herein, the recent progress in electrolytes for ENRR, including alkaline, neutral,acidic, water-in-salt, organic, ionic liquid, and mixed water-organic electrolytes, is thoroughly reviewed to obtain an in-depth understanding of their effects on electrocatalytic performance. Recently developed representative electrocatalysts in various types of electrolytes are also introduced, and future research priorities of different electrolytes are proposed to develop new and efficient ENRR systems.

关键词： Electrocatalytic nitrogen reduction Ammonia Electrolytes Production rate Faradaic efficiency

Atom substitution of the solid-state electrolyte Li_(10)GeP_(2)S_(12)for stabilized all-solid-state lithium metal batteries

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Journal of Energy Chemistry 2024年第1期88卷 28-38,I0002页

作者： Zijing Wan Xiaozhen chen Ziqi Zhou Xiaoliang zhong Xiaobing Luo Dongwei Xu State Key Laboratory of Coal Combustion School of Energy and Power EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina

Solid-state electrolyte Li_(10)GeP_(2)S_(12)(LGPS)has a high lithium ion conductivity of 12 mS cm^(-1)at room temperature,but its inferior chemical stability against lithium metal anode impedes its practical *** all solutions,Ge atom substitution of the solid-state electrolyte LGPS stands out as the most promising solution to this interface problem.A systematic screening framework for Ge atom substitution including ionic conductivity,thermodynamic stability,electronic and mechanical properties is utilized to solve *** fast screening,an enhanced model Dop Net FC using chemical formulas for the dataset is adopted to predict ionic ***,Li_(10)SrP_(2)S_(12)(LSrPS)is screened out,which has high lithium ion conductivity(12.58 mS cm^(-1)).In addition,an enhanced migration of lithium ion across the LSr PS/Li interface is ***,compared to the LGPS/Li interface,LSrPS/Li interface exhibits a larger Schottky barrier(0.134 eV),smaller electron transfer region(3.103?),and enhanced ability to block additional electrons,all of which contribute to the stabilized *** applied theoretical atom substitution screening framework with the aid of machine learning can be extended to rapid determination of modified specific material schemes.

关键词： Atom substitution Solid-state electrolyte Machine learning Stabilized interface

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery

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Frontiers in Energy 2024年第2期18卷 223-240页

作者： Nan QI Kang YAN Yajuan YU Rui LI Rong HUANG lai chen Yuefeng SU Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China Department of Energy and Environmental Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Electric Vehicle Co. Ltd.Beijing 100176China

As the intersection of disciplines deepens,the field of battery modeling is increasingly employing various artificial intelligence(AI)approaches to improve the efficiency of battery management and enhance the stability and reliability of battery *** paper reviews the value of AI methods in lithium-ion battery health management and in particular analyses the application of machine learning(ML),one of the many branches of AI,to lithium-ion battery state of health(SOH),focusing on the advantages and strengths of neural network(NN)methods in ML for lithium-ion battery SOH simulation and *** is one of the important branches of ML,in which the application of NNs such as backpropagation NN,convolutional NN,and long short-term memory NN in SOH estimation of lithium-ion batteries has received wide *** so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has the advantages of high efficiency,low energy consumption,high robustness,and scalable *** the future,NN can make a greater contribution to lithium-ion battery management by,first,utilizing more field data to play a more practical role in health feature screening and model building,and second,by enhancing the intelligent screening and combination of battery parameters to characterize the actual lithium-ion battery SOH to a greater *** in-depth application of NN in lithium-ion battery SOH will certainly further enhance the science,reliability,stability,and robustness of lithium-ion battery management.

关键词： machine learning lithium-ion battery state of health neural network artificial intelligence

Triterpenoids-templated self-assembly nanosystem for biomimetic delivery of CRISPR/Cas9 based on the synergy of TLR-2 and ICB to enhance HCC immunotherapy

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3205-3217页

作者： Bing-chen Zhang Chun-Mei lai Bang-Yue Luo Jing-Wei Shao Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy College of ChemistryFuzhou UniversityFuzhou 350116China Department of Laboratory Medicine Dongguan Institute of Clinical Cancer Researchthe Tenth Affiliated Hospital of Southern Medical University(Dongguan People’s Hospital)Dongguan 523058China College of Materials and Chemical Engineering MinjiangUniversityFuzhou350108China

Combination immunotherapy has shown promising potential for enhancing the objective response rate compared to immune checkpoint blockade(ICB)***,combination therapy with multi-drugs is limited by the different properties of the agents and inconsistent synergistic targeted ***,based on a universal triterpene template and the anticancer active agent ursolic acid(UA),a cytomembrane-coated biomimetic delivery nanoplatform(UR@M)prepared by the selfassembly of a PD-L1 targeted CRISPR/Cas9 system and UA was designed for hepatocellular carcinoma(HCC)***@M showed enhanced tumor accumulation in vivo with homologous tumor targeting,and CRISPR in the nanosystem exhibited potent gene-editing efficiency of 76.53% in vitro and 62.42% in vivo with no off-target *** activated the natural immune system through the TLR-2-MyD88-TRAF6 pathway,which synergistically enhanced the proliferation of natural killer cells and dendritic cells and realized excellent immune cytotoxic T cell infiltration by combining with the ICB of *** strategy of work along both lines based on innate immune and adaptive immunity displayed a significant effect in tumor ***,the UA-templated strategy“killed three birds with one stone”by establishing a self-assembly nanosystem,inducing tumor cell death,and promoting synergistic immunostimulation for HCC treatment.

关键词： Ursolic acid Self-assembly Biomimetic nanoplatform Hepatocellular carcinoma CRISPR/Cas9 Immune checkpoint blockade Gene therapy Immunotherapy

Synthesis and Enhanced Acetone-sensing Properties of Ordered Large-pore Mesoporous Nickel Oxides with Ultrathin Crystalline Frameworks

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Chemical Research in Chinese Universities 2024年第3期40卷 521-528页

作者： SHAO chen GUO Ru LI Hui WANG Xiaozhong YANG Qingfeng lai Xiaoyong State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering School of Chemistry and Chemical EngineeringNingxia UniversityYinchuan 750021P.R.China

Acetone is a tracer for monitoring air quality and a potential breath maker for diabetes. It remains a great challenge for current portable sensors to sensitively and selectively detect acetone at low-ppb (part per billion) level. Herein, we present an ordered mesoporous nickel oxide (NiO) with both large mesopores and ultrathin crystalline frameworks for the detection of low-ppb acetone. The ordered mesoporous NiO replicas with predominant large mesopores of 11 nm, high specific surface areas of 121–128 m2/g and ultrathin crystalline frameworks of 5 nm were synthesized by the nanocasting method and the crystalline properties of NiO frameworks were adjusted by changing the annealing temperature from 300℃ to 750℃, which resulted in different contents of oxygen deficient on the surface of ultrathin frameworks. The gas-sensing properties for all the NiO samples were investigated and the ordered large-pore mesoporous NiO (NiO-600) with maximum oxygen deficient obtained at 600℃ exhibited the highest response (R_(gas)/R_(air)−1=2.9) toward acetone (1 ppm, ppm: part per million), which is 3.4 and 30 times larger than those for common mesoporous NiO obtained at 300℃ and bulk NiO. Notably, a low detection limit (2 ppb), good selectivity and cycling stability were also observed in NiO-600.

关键词： Mesoporous semiconductor NiO Gas sensing Acetone

Novel 2D bifunctional layered rare-earth hydroxides@GO catalyst as a functional interlayer for improved liquid-solid conversion of polysulfides in lithium-sulfur batteries

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Chinese Chemical Letters 2024年第5期35卷 434-440页

作者： Haodong Wang Xiaoxu lai Chi chen Pei Shi Houzhao Wan Hao Wang Xingguang chen Dan Sun CAS Key Laboratory of Design and Assembly of Functional Nanostructures and Fujian Provincial Key Laboratory of Nanomaterials Fujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China College of Chemistry and Materials Fujian Normal UniversityFuzhou 350007China Xiamen Institute of Rare Earth Materials Haixi InstitutesChinese Academy of SciencesXiamen 361021China School of Microelectronics Hubei UniversityWuhan 430062China Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Xiamen 361021China

The detrimental“shuttle effect”of lithium polysulfides(LiPSs)together with sluggish multi-order reaction kinetics are the main drawbacks hindering lithium-sulfur(Li-S)batteries from commercial ***,we first propose the implementability of layered rare-earth hydroxides(LREHs)in Li-S batteries to optimize electrochemical *** this work,a two-dimensional(2D)rare-earth-based composite constructed by the layered gadolinium hydroxy chloride[Gd_(2)(OH)_(5)(H_(2)O)_(n)]Cl nanoplates(LGdH NPs)and graphene oxide(GO)was designed as a sulfur immobilizer for Li-S *** the experimental results and density functional theory(DFT)calculations,it is revealed that the LGdH@GO composite not only provides a strong anchoring of the intermediates during cycling,but also acts as an effective catalyst to accelerate the liquid-solid conversion of *** Li-S batteries assembled by LGdH@GO modified separators delivered a superior rate performance with a specific capacity of 605.34 mAh/g at 5 C,as well as excellent cycle stability with a decay rate of 0.087%over 500 cycles at 2 *** study provided a deep understanding of the mechanism to suppress the“shuttle effect”by the LREHs,and a guide to design effective functional interlayers for high-performance Li-S batteries with excellent electrocatalytic activity.

关键词： Lithium-sulfur batteries Functional separator Layered rare-earth hydroxides Shuttle effect Adsorption Catalysis

ThyroidNet:A Deep Learning Network for Localization and Classification of Thyroid Nodules

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 361-382页

作者： Lu chen Huaqiang chen Zhikai Pan Sheng Xu Guangsheng lai Shuwen chen Shuihua Wang Xiaodong Gu Yudong Zhang Ultrasonic Department Zhongda Hospital Affiliated to Southeast UniversityNanjing210009China School of Physics and Information Engineering Jiangsu Second Normal UniversityNanjing211200China School of Computing and Mathematical Sciences University of LeicesterLeicesterLE17RHUK Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia State Key Laboratory of MillimeterWaves Southeast UniversityNanjing210096China Jiangsu Province Engineering Research Center of Basic Education Big Data Application Jiangsu Second Normal UniversityNanjing211200China School of Software Engineering Quanzhou Normal UniversityQuanzhou362000China Department of Biological Sciences Xi’an Jiaotong-Liverpool UniversitySuzhou215123China

Aim:This study aims to establish an artificial intelligence model,ThyroidNet,to diagnose thyroid nodules using deep learning techniques ***:A novel method,ThyroidNet,is introduced and evaluated based on deep learning for the localization and classification of thyroid ***,we propose the multitask TransUnet,which combines the TransUnet encoder and decoder with multitask ***,we propose the DualLoss function,tailored to the thyroid nodule localization and classification *** balances the learning of the localization and classification tasks to help improve the model’s generalization ***,we introduce strategies for augmenting the ***,we submit a novel deep learning model,ThyroidNet,to accurately detect thyroid ***:ThyroidNet was evaluated on private datasets and was comparable to other existing methods,including U-Net and *** results show that ThyroidNet outperformed these methods in localizing and classifying thyroid *** achieved improved accuracy of 3.9%and 1.5%,***:ThyroidNet significantly improves the clinical diagnosis of thyroid nodules and supports medical image analysis *** research directions include optimization of the model structure,expansion of the dataset size,reduction of computational complexity and memory requirements,and exploration of additional applications of ThyroidNet in medical image analysis.

关键词： ThyroidNet deep learning TransUnet multitask learning medical image analysis

Long distance all-optical logic operations through a single multimode fiber empowered by wavefront shaping

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Photonics Research 2024年第3期12卷 587-597页

作者： ZHIPENG YU TIANTING zhong HUANHAO LI HAORAN LI CHI MAN WOO SHENGFU chenG SHUMING JIAO HONGLIN LIU CHAO LU PUXIANG lai Department of Biomedical Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518000China Peng cheng Laboratory Shenzhen 518055China Key Laboratory for Quantum Optics Shanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghai 201800China Department of Electronic and Information Engineering The Hong Kong Polytechnic UniversityHong Kong SARChina Photonics Research Institute The Hong Kong Polytechnic UniversityHong Kong SARChina

Multimode fibers(MMFs)are a promising solution for high-throughput signal transmission in the time ***,crosstalk among different optical modes within the MMF scrambles input information and creates seemingly random speckle patterns at the *** characterize this process,a transmission matrix(TM)can be used to relate input and output *** innovations use TMs to manipulate the output field by shaping the input wavefront for exciting advances in deep-brain imaging,neuron stimulation,quantum networks,and analog ***,these approaches consider input/output segments as independent,limiting their use for separate signal processing,such as logic *** proposed method,which makes input/output segments as interdependent,adjusts the phase of corresponding output fields using phase bias maps superimposed on input *** superposition enables signal logic operations through a 15-m-long *** experiments,a single optical logic gate containing three basic logic functions and cascading multiple logic gates to handle binary operands is *** operations are performed for multi-bit logic operations,and multiple optical logic gates are reconstructed simultaneously in a single logic gate with polarization *** proposed method may open new avenues for long-range logic signal processing and transmission via MMFs.

关键词： optical polarization fiber