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journal of Materials Science & Technology 2024年第6期173卷 72-79页

作者： L.j.huang h.Wang L.Z.Ouyang M.Zhu h.j.lin School of Materials Science and Engineering Key Laboratory of Advanced Energy Storage Materials of Guangdong ProvinceSouth China University of TechnologyGuangzhou 510641China Institute of Advanced Wear&Corrosion Resistance and Functional Materials Jinan UniversityGuangzhou 510632China

Mg-based amorphous alloys are one of the potential hydrogen storage materials but suffer from sluggish dehydrogenation/hydrogenation(de/hydrogenation)*** this work,as a new strategy,a hydrogen pump is built on the surface of amorphous alloys to solve this *** milling crystalline YFe_(2-x)Al_(x) hydrogen storage alloy with Mg_(60)La_(10)Ni_(20)Cu_(10) amorphous alloy,fine crystalline particles were seeded on amorphous alloy powder to form a“strawberry”*** to the TEM observation,a metallurgical bonding boundary formed between the Mg-based amorphous matrix and the Y-Fe-Al crystalline *** microstructure and de/hydrogenation kinetics investigation,the“hydrogen pump”effect of the seeded crystalline alloy was confirmed,which makes it much easier for the hydrogen to dissociate on and diffuse through the surface of the Mg-based amorphous *** such effect,the h absorption rate of Mg_(60)La_(10)Ni_(20)Cu_(10) amorphous alloy became almost eight times faster and it absorbs ~2.8 wt.% in 1 h at 130℃ under 4.5 MPa-h_(2).Further,fast hydrogenation can even achieve at 70℃ and the low-temperature dehydrogenation kinetics of the amorphous hydride can be also greatly *** present work proves that surface modification is of great importance for obtaining Mg-based amorphous alloy with ideal hydrogen storage performance.

关键词： hydrogen storage Mg-based amorphous alloy hydrogen pump Composite structure

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双辊薄带连铸过程传热和金属流动的数值模拟

上海钢研 1998年第3期 37-44页

作者： j.P.hWANG h.j.lin W.S.hWANG C.T.hN 吴卫平

怎样开浇是双辊薄带连铸过程面临的一个重要问题。在开浇阶段,金属熔池应该逐步地建立以达到最优的熔池液位,而且在两个反向旋转的结晶辊表面形成的凝固金属层必须在引带离开最小辊缝前焊接在一起,以不准确的牵引时间进行不合适的操作,... 详细信息

怎样开浇是双辊薄带连铸过程面临的一个重要问题。在开浇阶段,金属熔池应该逐步地建立以达到最优的熔池液位,而且在两个反向旋转的结晶辊表面形成的凝固金属层必须在引带离开最小辊缝前焊接在一起,以不准确的牵引时间进行不合适的操作,经常导致连铸过程和产品的不稳定以及铸带的中断,这将破坏铸带的成型及随后的卷取。因此,引带恰当的拉速在垂直双辊薄带连铸的开浇阶段起很重要的作用,准确的牵引时间对热分布的变化、流动条件和金属与结晶辊的相互作用都十分敏感。为了揭示双辊铸造过程基本的传输现象,用一个商品化的PROCAST软件来模拟非稳态的流体流动、热传导和本研究连铸过程初期的凝固特征。一组耦合的质量、动量和能量平衡的控制偏微分方程用有限元方法来求解,用体积流量接近法(VOF)来处理瞬时自由表面问题,热焓法用于处理凝固、相变的问题。这个模型的优点是它处理移动边界问题和流体自由表面问题有很大的能力。用这个数学模型,在本研究中模拟了浇注顺序、流场和对应的温度分布在垂直双辊薄带连铸过程实际铸造条件下金属熔池内的情况。从计算结果可以知道:双辊之间的金属熔池是怎样逐步建立起来的,凝固层在旋转辊上是怎样随时间增厚的都基本揭示出来了。此外,金属熔池的液位。

关键词：传热金属流动连铸薄带连铸数值模拟

倾斜双辊薄带连铸中表面质量与流动特性的关系

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上海钢研 1998年第3期 67-76页

作者： j.D.hwang h.j.lin j.S.C.jang W.S.hwang C.T.hu 任雅琳

良好的表面质量对于直接进行冷轧的双辊连铸不锈钢薄带是很重要的。因而,AISI304不锈钢的表面质量是双辊薄带连铸工艺投入商业化生产的一个主要问题。在双辊连铸薄带中常出现的表面缺陷包括纵向和横向裂纹或皱纹以及不平整,它们主要是... 详细信息

良好的表面质量对于直接进行冷轧的双辊连铸不锈钢薄带是很重要的。因而,AISI304不锈钢的表面质量是双辊薄带连铸工艺投入商业化生产的一个主要问题。在双辊连铸薄带中常出现的表面缺陷包括纵向和横向裂纹或皱纹以及不平整,它们主要是由两个辊子之间弯液面的气体卷入和表面波动引起的。在这项研究中我们采用了一个模型化软件来模拟倾斜双辊连铸中半稳态熔池的流动行为并调查研究生产出的薄带流动特性和表面质量的关系。根据计算出的流动模型得出流动特性,并将它和与计算相同铸造条件下由实验用铸机生产出的薄带的表面质量相联系。通过这种过程,我们得出几个关系。首先,熔池液位较低时薄带上出现表面皱纹。这个问题通过提高液位以降低流动强烈程度减少液面的波动来得到改善。其次,由于在辊子/钢水/空气三相的交叉点附近产生巨大涡流而导致的再循环是熔渣/炉渣夹杂的主要原因。另外,由于采用较高的辊子角度以及靠近低的辊子的倾斜进料位置,在弯液面表面得到更稳定的流动。

关键词：双辊薄带连铸不锈钢表面质量连铸

Prussian Blue Analogue‑Templated Nanocomposites for Alkali‑Ion Batteries:Progress and Perspective

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Nano-Micro Letters 2025年第1期17卷 216-261页

作者： jian‑En Zhou Yilin Li Xiaoming lin jiaye Ye Key Laboratory of Theoretical Chemistry of Environment Ministry of EducationSchool of ChemistrySouth China Normal UniversityGuangzhou 510006People’s Republic of China School of Chemistry and Physics Faculty of ScienceQueensland University of Technology2 George StreetBrisbaneQLD 4000Australia Centre for Materials Science Queensland University of Technology2 George StreetBrisbaneQLD 4000Australia

Lithium-ion batteries(LIBs)have dominated the portable electronic and electrochemical energy markets since their commercialisation,whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries(AIBs)including sodium-ion batteries(SIBs)and potassium-ion batteries(PIBs).Owing to larger ion sizes of Na^(+)and K^(+)compared with Li^(+),nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium *** enticing open rigid framework structures,Prussian blue analogues(PBAs)remain promising self-sacrificial templates for the preparation of various nanocomposites,whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal *** review focuses on the recent progress of PBA-derived nanocomposites from their fabrication,lithium/sodium/potassium storage mechanism,and applications in AIBs(LIBs,SIBs,and PIBs).To distinguish various PBA derivatives,the working mechanism and applications of PBA-templated metal oxides,metal chalcogenides,metal phosphides,and other nanocomposites are systematically evaluated,facilitating the establishment of a structure–activity correlation for these *** on the fruitful achievements of PBA-derived nanocomposites,perspectives for their future development are envisioned,aiming to narrow down the gap between laboratory study and industrial reality.

关键词： Prussian blue analogues Self-sacrificial template Lithium-ion batteries Sodium-ion batteries Potassium-ion batteries

Improvement of Cold Recycled Mixture Performance Based on Improved Density Test Method and RAP Characteristics

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journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 79-87页

作者： hAN Zhanchuang PANG Yafeng lin hongwei China First highway Engineering Group Co. LtdBeijing 100024China The Key Laboratory of Road and Traffic Engineering Ministry of EducationTongji UniversityShanghai 201804China Guangzhou Baiyun International Airport Co. Ltd.Guangzhou 510470China

The available test methods for optimal moisture content of cold recycled mixture(CRM)as well as its bulk specific gravity,and theoretical maximum relative density were analyzed in this *** test improvements were suggested to improve test control of the CRM road performance based on the discovered ***,the properties of reclaimed asphalt pavement(RAP),including the content of old asphalt,penetration index,passing rate of 4.75 mm sieve,and gradation change rate after extraction,were *** effects of RAP characteristics on splitting tensile strength,water stability,the high-and low-temperature performance of emulsified asphalt CRM were *** results show that the optimum moisture content of CRM should be determined when the compaction work matches the specimen’s molding *** the analyzed methods of bulk specific gravity assessment,the dry-surface and CoreLok methods provide more robust and accurate results than the wax-sealing method,while the dry-surface method is the most *** modified theoretical maximum relative density test method is proposed,which can reduce the systematic error of the vacuum test *** following RAP-CRM trends can be *** lower the content of old asphalt and the smaller the change rate of gradation,the smaller the voids and the better the water stability of *** greater the penetration of old asphalt,the higher the fracture work and low-temperature splitting *** greater the penetration,the higher the passing rate of 4.75 mm sieve after extraction,and the worse the high-temperature performance of CRM.

关键词： RAP volume parameters high-temperature performance low-temperature performance water stability

Pyroptosis,ferroptosis,and autophagy in spinal cord injury:regulatory mechanisms and therapeutic targets

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Neural Regeneration Research 2025年第10期20卷 2787-2806页

作者： Qingcong Zheng Du Wang Rongjie lin Weihong Xu Department of Spinal Surgery the First Affiliated Hospital of Fujian Medical UniversityFuzhouFujian ProvinceChina Arthritis Clinical and Research Center Peking University People’s HospitalBeijingChina Department of Orthopedic Surgery Fujian Medical University Union HospitalFuzhouFujian ProvinceChina

Regulated cell death is a form of cell death that is actively controlled by *** studies have shown that regulated cell death plays a key role after spinal cord *** and ferroptosis are newly discovered types of regulated cell deaths that have been shown to exacerbate inflammation and lead to cell death in damaged spinal ***,a complex form of cell death that is interconnected with various regulated cell death mechanisms,has garnered significant attention in the study of spinal cord *** injury triggers not only cell death but also cellular survival *** signaling pathways play pivotal roles in influencing the processes of both deterioration and repair in spinal cord injury by regulating pyroptosis,ferroptosis,and ***,this review aims to comprehensively examine the mechanisms underlying regulated cell deaths,the signaling pathways that modulate these mechanisms,and the potential therapeutic targets for spinal cord *** analysis suggests that targeting the common regulatory signaling pathways of different regulated cell deaths could be a promising strategy to promote cell survival and enhance the repair of spinal cord ***,a holistic approach that incorporates multiple regulated cell deaths and their regulatory pathways presents a promising multi-target therapeutic strategy for the management of spinal cord injury.

关键词： autophagy cell death ferroptosis inflammation pathological mechanisms pyroptosis regulated cell death regulatory pathways spinal cord injury therapeutic targets

Unmasking Social Robots’Camouflage:A GNN-Random Forest Framework for Enhanced Detection

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Computers, Materials & Continua 2025年第1期82卷 467-483页

作者： Weijian Fan Chunhua Wang Xiao han Chichen lin School of Data Science and Intelligent Media Communication University of ChinaBeijing100024China School of Computer and Cyber Sciences Communication University of ChinaBeijing100024China Institute of Communication Studies Communication University of ChinaBeijing100024China State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China

The proliferation of robot accounts on social media platforms has posed a significant negative impact,necessitating robust measures to counter network anomalies and safeguard content *** robot detection has emerged as a pivotal yet intricate task,aimed at mitigating the dissemination of misleading *** graphbased approaches have attained remarkable performance in this realm,they grapple with a fundamental limitation:the homogeneity assumption in graph convolution allows social robots to stealthily evade detection by mingling with genuine human *** unravel this challenge and thwart the camouflage tactics,this work proposed an innovative social robot detection framework based on enhanced hOmogeneity and Random Forest(hORFBot).At the core of hORFBot lies a homogeneous graph enhancement strategy,intricately woven with edge-removal techniques,tometiculously dissect the graph intomultiple revealing ***,leveraging the power of contrastive learning,the proposed methodology meticulously trains multiple graph convolutional networks,each honed to discern nuances within these tailored *** culminating stage involves the fusion of these feature-rich base classifiers,harmoniously aggregating their insights to produce a comprehensive detection *** experiments on three social robot detection datasets have shown that this method effectively improves the accuracy of social robot detection and outperforms comparative methods.

关键词： Social robot detection graph neural networks random forest homophily heterophily

RF Optimizer Model for Predicting Compressive Strength of Recycled Concrete

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journal of Wuhan University of Technology(Materials Science) 2025年第1期40卷 215-223页

作者： LIU lin WANG Liuyan WANG hui SUN huayue School of Civil Engineering and Architecture Shenyang UniversityShenyang 110000China

Traditional machine learning(ML)encounters the challenge of parameter adjustment when predicting the compressive strength of reclaimed *** address this issue,we introduce two optimized hybrid models:the Bayesian optimization model(B-RF)and the optimal model(Stacking model).These models are applied to a data set comprising 438 observations with five input variables,with the aim of predicting the compressive strength of reclaimed ***,we evaluate the performance of the optimized models in comparison to traditional machine learning models,such as support vector regression(SVR),decision tree(DT),and random forest(RF).The results reveal that the Stacking model exhibits superior predictive performance,with evaluation indices including R2=0.825,MAE=2.818 and MSE=14.265,surpassing the traditional ***,we also performed a characteristic importance analysis on the input variables,and we concluded that cement had the greatest influence on the compressive strength of reclaimed concrete,followed by ***,the Stacking model can be recommended as a compressive strength prediction tool to partially replace laboratory compressive strength testing,resulting in time and cost savings.

关键词： machine learning recycled concrete compressive strength

Remaining Life Prediction Method for Photovoltaic Modules Based on Two-Stage Wiener Process

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Energy Engineering 2025年第1期122卷 331-347页

作者： jie lin hongchi Shen Tingting Pei Yan Wu School of Electrical Engineering and Information Engineering Lanzhou University of TechnologyLanzhou730050China

Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation *** service life of these modules directly affects these costs. Over time, the performanceof PV modules gradually declines due to internal degradation and external environmental *** cumulativedegradation impacts the overall reliability of photovoltaic power generation. This study addresses the complexdegradation process of PV modules by developing a two-stage Wiener process model. This approach accountsfor the distinct phases of degradation resulting from module aging and environmental influences. A powerdegradation model based on the two-stage Wiener process is constructed to describe individual differences inmodule degradation processes. To estimate the model parameters, a combination of the Expectation-Maximization(EM) algorithm and the Bayesian method is employed. Furthermore, the Schwarz Information Criterion (SIC) isutilized to identify critical change points in PV module degradation trajectories. To validate the universality andeffectiveness of the proposed method, a comparative analysis is conducted against other established life predictiontechniques for PV modules.

关键词： Photovoltaic modules degradation stochastic processes lifetime prediction

Offload Strategy for Edge Computing in Satellite Networks Based on Software Defined Network

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Computers, Materials & Continua 2025年第1期82卷 863-879页

作者： Zhiguo Liu Yuqing Gui lin Wang Yingru jiang Communication and Network Laboratory Dalian UniversityDalian116622China College of Environment and Chemical Engineering Dalian UniversityDalian116622China

Satellite edge computing has garnered significant attention from researchers;however,processing a large volume of tasks within multi-node satellite networks still poses considerable *** sharp increase in user demand for latency-sensitive tasks has inevitably led to offloading bottlenecks and insufficient computational capacity on individual satellite edge servers,making it necessary to implement effective task offloading scheduling to enhance user *** this paper,we propose a priority-based task scheduling strategy based on a Software-Defined Network(SDN)framework for satellite-terrestrial integrated networks,which clarifies the execution order of tasks based on their ***,we apply a Dueling-Double Deep Q-Network(DDQN)algorithm enhanced with prioritized experience replay to derive a computation offloading strategy,improving the experience replay mechanism within the Dueling-DDQN ***,we utilize the Deep Deterministic Policy Gradient(DDPG)algorithm to determine the optimal resource allocation strategy to reduce the processing latency of *** results demonstrate that the proposed d3-DDPG algorithm outperforms other approaches,effectively reducing task processing latency and thus improving user experience and system efficiency.

关键词： Satellite network edge computing task scheduling computing offloading