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Journal of energy Chemistry 2025年第2期101卷 298-323页

作者： Bonghyun Jo Wenning Chen Hyun Suk Jung School of advanced Materials Science and engineering Sungkyunkwan University SKKU Institute of energy Science and Technology (SIEST) Sungkyunkwan University department of Future energy engineering Sungkyunkwan University

Perovskite solar cells(PSCs) have developed rapidly,positioning them as potential candidates for nextgeneration renewable energy ***,conventional trial-and-error approaches and the vast compositional parameter space continue to pose challenges in the pursuit of exceptional performance and high stability of perovskite-based *** increasing demand for novel materials in optoelectronic devices and establishment of substantial databases has enabled data-driven machinelearning(ML) approaches to swiftly advance in the materials *** review succinctly outlines the fundamental ML procedures,techniques,and recent breakthroughs,particularly in predicting the physical characteristics of perovskite ***,it highlights research endeavors aimed at optimizing and screening materials to enhance the efficiency and stability of ***,this review highlights recent efforts in using characterization data for ML,exploring their correlations with material properties and device performance,which are actively being researched,but they have yet to receive significant ***,we provide future perspectives,such as leveraging Large Language Models(LLMs) and text-mining,to expedite the discovery of novel perovskite materials and expand their utilization across various optoelectronic fields.

关键词： Characterization Data-driven machine learning Perovskite materials Perovskite solar cell

Enhancing micro-scale SiOx anode durability:Electro-mechanical strengthening of binder networks via anchoring carbon nanotubes with carboxymethyl cellulose

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Journal of energy Chemistry 2025年第2期101卷 23-33页

作者： Chaeyeon Ha Jin Kyo Koo Jun Myoung Sheem Young-Jun Kim SKKU advanced Institute of Nano Technology (SAINT) Sungkyunkwan University department of Nano Science and Technology Sungkyunkwan University advanced Center for Convergence energy Storage system Sungkyunkwan University SKKU Institute of energy Science and Technology (SIEST) Sungkyunkwan University

With the increasing prevalence of lithium-ion batteries（LIBs） applications,the demand for high-capacity next-generation materials has also *** currently considered a promising anode material due to its exceptionally high capacity for ***,the significant volumetric changes of SiOxduring cycling and its initial Coulombic efficiency（ICE） complicate its use,whether alone or in combination with graphite *** this study,a three-dimensional conductive binder network with high electronic conductivity and robust elasticity for graphite/SiOxblended anodes was proposed by chemically anchoring carbon nanotubes and carboxymethyl cellulose binders using tannic acid as a chemical *** addition,a dehydrogenation-based prelithiation strategy employing lithium hydride was utilized to enhance the ICE of *** combination of these two strategies increased the CE of SiOxfrom 74% to87% and effectively mitigated its volume expansion in the graphite/SiOxblended electrode,resulting in an efficient electron-conductive binder *** led to a remarkable capacity retention of 94% after30 cycles,even under challenging conditions,with a high capacity of 550 mA h g-1and a current density of 4 mA ***,to validate the feasibility of utilizing prelithiated SiOxanode materials and the conductive binder network in LIBs,a full cell incorporating these materials and a single-crystalline Ni-rich cathode was *** cell demonstrated a～27.3% increase in discharge capacity of the first cycle(～185.7 mA h g-1) and exhibited a cycling stability of 300 ***,this study reports a simple,feasible,and insightful method for designing high-performance LIB electrodes.

关键词： Lithium-ion batteries SiO x anode Blended anode Carbon nanotubes Carboxymethyl cellulose Conductive binder network

Disordered hyperuniformity and thermal transport in monolayer amorphous carbon

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Science China(Physics,Mechanics & Astronomy) 2025年第2期68卷 145-152页

作者： Nianjie Liang Yuxi Wang Bai Song department of energy and Resources engineering Peking UniversityBeijing 100871China department of advanced Manufacturing and Robotics Peking UniversityBeijing 100871China

Disordered hyperuniformity(DHU)is a recently discovered novel state of amorphous systems characterized by strongly suppressed density fluctuations at large length scales as in crystalline materials,which offers great potential for achieving unusual mechanical,electronic,and photonic ***,despite the fundamental and technological importance of thermal transport in amorphous solids,the effect of DHU remains largely ***,we theoretically study thermal transport in a class of two-dimensional DHU materials—monolayer amorphous carbon(MAC).Beginning with a perfect graphene lattice,we continuously apply Stone-Wales transformations to generate a series of MAC models with varied degrees of disorder and defects,which are quantified through comprehensive structural analysis including the so-called hyperuniformity index(H),where a smaller H indicates a higher degree of ***,we conduct molecular dynamics simulations to obtain the thermal conductivity(κ).A significant correlation between the thermal transport behavior and degree of hyperuniformity is observed,with the room-temperatureκdecreasing from 26.3 to 5.3 W m^(-1)K^(-1)while H is tuned from 0.0004 to ***,two distinct transport regimes are identified,including a nearly-DHU regime at small H(<0.005)whereκdrops sharply and a non-DHU region at larger H whereκbecomes relatively ***-resolved analysis reveals longer lifetime and higher participation ratio for the heat carriers in nearly-DHU MAC,implying that the hidden long-range correlations could support extended modes that enhance *** work highlights the impact of DHU on the thermal properties of amorphous materials and represents a conceptual advancement that is worthy of future exploration.

关键词： disordered hyperuniformity thermal transport amorphous material two-dimensional monolayer amorphous carbon

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Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection

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Computer Modeling in engineering & Sciences 2025年第2期142卷 1667-1695页

作者： Muhammad Armghan Latif Zohaib Mushtaq Saifur Rahman Saad Arif Salim Nasar Faraj Mursal Muhammad Irfan Haris Aziz department of Computer and Information system Cleveland State UniversityOhio44115USA department of Electrical Electronics and Computer SystemsCollege of Engineering and TechnologyUniversity of SargodhaSargodha40100Pakistan Electrical engineering department College of EngineeringNajran UniversityNajran61441Saudi Arabia department of Mechanical engineering College of EngineeringKing Faisal UniversityAl Ahsa31982Saudi Arabia department of Mechanical Industrial and Energy System EngineeringUniversity of SargodhaSargodha40100Pakistan

Ransomware attacks pose a significant threat to critical infrastructures,demanding robust detection *** study introduces a hybrid model that combines vision transformer(ViT)and one-dimensional convolutional neural network(1DCNN)architectures to enhance ransomware detection *** common challenges in ransomware detection,particularly dataset class imbalance,the synthetic minority oversampling technique(SMOTE)is employed to generate synthetic samples for minority class,thereby improving detection *** integration of ViT and 1DCNN through feature fusion enables the model to capture both global contextual and local sequential features,resulting in comprehensive ransomware *** on the UNSW-NB15 dataset,the proposed ViT-1DCNN model achieved 98%detection accuracy with precision,recall,and F1-score metrics surpassing conventional *** approach not only reduces false positives and negatives but also offers scalability and robustness for real-world cybersecurity *** results demonstrate the model’s potential as an effective tool for proactive ransomware detection,especially in environments where evolving threats require adaptable and high-accuracy solutions.

关键词： Ransomware attacks cybersecurity vision transformer convolutional neural network feature fusion encryption threat detection

Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

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Tungsten 2025年第1期7卷 137-151页

作者： Geethukrishnan Onkar Apte Kiran Kumar Tadi energy Electrodics and Electrocatalysis (EEE) Lab Department of Chemistry School of Advanced Sciences Vellore Institute of Technology School of Computer Science and engineering Vellore Institute of Technology

The precise detection and measurement of dopamine（DA）,a crucial neurotransmitter in the human body,plays a significant role in diagnosing,preventing,and treating neurological diseases associated with its levels.A highly sensitive DA electrochemical sensor was constructed by combining molybdenum disulfide quantum dots（MSQDs） with multiwalled carbon nanotubes（MWCNTs）.The MSQDs were synthesized using the shear exfoliation *** sensors consist of MSQDs with Mo-S edge catalytic centers for the DA redox reaction,and MWCNTs amplify the sensor *** linearity of the sensor for the detection of DA was tested in the presence of ascorbic acid(AA,50 μmol·L-1) and uric acid(UA,200 μmol·L-1),and exhibited linearity from 2 to 966 μmol·L-1of DA with 0.097 μA(mol·L-1)-1sensitivity and a low limit of detection of0.6 μmol·L-1（the ratio between signal and noise,S/N=3）.Moreover,the sensitivity and selectivity of the sensor were also studied using *** is no increase in amperometric current after adding the most potentially interfering *** sensor was successfully applied to recover DA in human blood sera ***,machine learning algorithms were operated to aid in the near-precise detection of DA in the heterogeneous mixture containing AA and *** algorithms facilitate the identification and quantification of DA amidst coexisting interferents,including AA,that are commonly present in biological matrices.

关键词： Biosensor Complex mixture Dopamine Machine learning MoS2 Multiwalled carbon nanotubes

A Novel Vibration-Based Self-Adapting Method to Acquire Real-Time Following Distance for Virtually Coupled Trains

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 27-39页

作者： Qinglai Zhang Jianmin Gao Qing Wu Qinglie He Libin Tie Wanming Zhai Shengyang Zhu State Key Laboratory of Rail Transit Vehicle system Southwest Jiaotong University IEEE Centre for Railway engineering Central Queensland University National energy Railway Equipment Co. LTDNational Energy Group

Virtual coupling(VC) is an emerging technology for addressing the shortage of rail transportation capacity. As a crucial enabling technology, the VC-specific acquisition of train information, especially train following distance(TFD), is *** this paper, a novel method is proposed to acquire real-time TFD by analyzing the vibration response of the front and following trains, during which only onboard accelerometers and speedometers are required. In contrast to the traditional arts of train positioning, this method targets a relative position between two adjacent trains in VC operation, rather than the global positions of the trains. For this purpose, an adaptive system containing three strategies is designed to cope with possible adverse factors in train operation. A vehicle dynamics simulation of a heavy-haul railway is implemented for the evaluation of feasibility and performance. Furthermore, a validation is conducted using a set of data measured from in-service Chinese high-speed trains. The results indicate the method achieves satisfactory estimation accuracy using both simulated and actual data. It has favorable adaptability to various uncertainties possibly encountered in train operation. Additionally, the method is preliminarily proven to adapt to different locomotive types and even different rail transportation modes. In general, such a method with good performance, low-cost, and easy implementation is promising to apply.

关键词： Adaptive system train following distance (TFD) train positioning vehicle dynamics vibration response virtual coupling (VC)

Effect of lysozyme combined with hydrothermal pretreatment on excess sludge and anaerobic digestion

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Journal of Environmental Sciences 2025年第1期147卷 36-49页

作者： Xiuqin Cao Songyue Li Chaolei Liu School of Environment and energy engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China Key Laboratory of Urban Storm water system and Water Environment(Ministry of Education) Beijing University of Civil Engineering and ArchitectureBeijing 100044China

Anaerobic digestion(AD)is widely employed for sludge stabilization and waste ***,the slow hydrolysis process hinders methane production and leads to prolonged sludge *** this study,an efficient and eco-friendly lysozyme pre-treatment method was utilized to address these *** optimizing lysozyme dosage,hydrolysis and cell lysis were ***,lysozyme combined with hydrothermal pretreatment enhanced overall *** indicate that:(1)When lysozyme dosage reached 90 mg/g TS after 240 min of pretreatment,SCOD,soluble polysaccharides,and protein content reached their maxima at 855.00,44.09,and 204.86 mg/L,*** represented an increase of 85.87%,365.58%,and 259.21%compared to the untreated *** fluorescence spectroscopy revealed the highest fluorescence intensity in the IV region(soluble microbial product),promoting microbial metabolic activity.(2)Lysozyme combined with hydrothermal pretreatment significantly increased SCOD,soluble proteins,and polysaccharide release from sludge,reducing SCOD release *** experiments identified Group 3 as the most effective for SCOD and soluble polysaccharide release,while Group 9 released the most soluble *** significance order of factors influencing SCOD,soluble proteins,and polysaccharide release is hydrothermal temperature>hydrothermal time>enzymatic digestion time.(3)The lysozyme-assisted hydrothermal pretreatment group exhibited the fastest release and the highest SCOD concentration of 8,135.00 mg/L during anaerobic *** SCOD consumption and cumulative gas production increased by 95.89%and 130.58%,respectively,compared to the control group,allowing gas production to conclude 3 days earlier.

关键词： Excess sludge Lysozyme Hydrothermal pre-treatment Anaerobic digestion Gas production

Penalty Function-Based Distributed Primal-Dual Algorithm for Nonconvex Optimization Problem

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 394-402页

作者： Xiasheng Shi Changyin Sun IEEE the engineering Research Center of Autonomous Unmanned system Technology Ministry of Education Anhui University the School of Artificial Intelligence Anhui University Anhui Provincial engineering Research Center for Unmanned system and Intelligent Technology Anhui University the Anhui Key Laboratory Industrial energy-Saving and Safety Anhui University

This paper addresses the distributed nonconvex optimization problem, where both the global cost function and local inequality constraint function are nonconvex. To tackle this issue, the p-power transformation and penalty function techniques are introduced to reframe the nonconvex optimization problem. This ensures that the Hessian matrix of the augmented Lagrangian function becomes local positive definite by choosing appropriate control parameters. A multi-timescale primal-dual method is then devised based on the Karush-Kuhn-Tucker(KKT) point of the reformulated nonconvex problem to attain convergence. The Lyapunov theory guarantees the model's stability in the presence of an undirected and connected communication network. Finally, two nonconvex optimization problems are presented to demonstrate the efficacy of the previously developed method.

关键词： Constrained optimization Karush-Kuhn-Tucker (KKT) point nonconvex p-power transformation

Impact of Startup Strategy and Buffer Tank Volume on the Compressor Inlet State for a 3-MW sCO_(2)Brayton Cycle

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Journal of Thermal Science 2025年第1期34卷 159-175页

作者： ZHAO Decai WANG Bo Key Laboratory of advanced energy and Power Institute of Engineering Thermophysics(IET)Chinese Academy of Sciences(CAS)Beijing 100190China University of Chinese Academy of Sciences Beijing 100049China

The supercritical carbon dioxide(sCO_(2))Brayton cycle system has become an emerging and highly promising method of thermal power conversion due to its efficiency advantage,system compactness,and excellent adaptability of the heat *** the low carbon sCO_(2)Brayton cycle testbed with cycle output power approaching 3 MW,a relatively detailed dynamic simulation model of the entire system is constructed to explore the dynamic response characteristics of the system with different startup strategies and different buffer tank volumes during the startup *** simulation results indicate that the smaller the volume of the buffer tank,the more rapid and obvious the parameter fluctuation in the buffer tank during the *** the allowable relative deviation limit of density is 5%,then the ratio of the buffer tank volume to the volume of the entire closed loop should not be lower than 36.80%.The strategy of simultaneous temperature and speed increase during turbine bypass start can effectively reduce the fluctuation of compressor inlet parameters and reach the steady-state more *** paper provides the recommended matching table for the opening of the turbine bypass valve(TBV)and the main regulating valve(MGV)to reduce the parameter fluctuation during the bypass *** effectiveness of the proposed turbine bypass and bypass switching startup strategy is verified by simulation,which may be used as a reference for test bench's future debugging and operation.

关键词： sCO_(2)Brayton cycle dynamic model buffer tank startup strategy dynamic characteristic

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Rare earth elements:Sector allocations and supply chain considerations

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Journal of Rare Earths 2025年第1期43卷 1-8,I0001页

作者： Mpila Makiesse Nkiawete Randy Lee Vander Wal The EMS energy Institute and the John and Willie Leone Family department of energy and Mineral engineering The Pennsylvania State UniversityParkPA16802USA

This article addresses the question of how the global and *** sector allocations for rare earth elements ***,this article reports rare earth oxide(REO)market sector allocations,resolved by elemental profile for 2020 and reciprocally REO consumption resolved by end market *** are calculated relative to 2008 and presented as percentages and as absolute *** differences encompass both changes in relative sector demand and growth *** trends,global and *** REO usage by sector are calculated for the period of *** market sector demands,as percentages are presented,referenced to United States Geological Survey(USGS)values from *** is given to permanent magnets and associated elements given the growing renewable generation and vehicle *** criticality of Nd and Dy are considered given that they are the foundation of NdFeB permanent magnets,prominent in electric vehicle traction motors and direct drive wind turbine *** activity associated with REE market sectors is *** usage does not reflect economic value.A prime example are catalysts versus ***,vast reserves of light and heavy REEs exist in coal and coal-byproducts with potential high impact upon critical REEs and associated economics.

关键词： Rareearth elements Marketsectors Permanentmagnets Global sources Coal sources

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