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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives

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Journal of Energy Chemistry 2025年第1期100卷 739-759页

作者： Chuanping Lin Jun Xu Delong Jiang Jiayang Hou ying Liang Zhongyue Zou Xuesong Mei State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Key Laboratory of Intelligent Robots School of Mechanical Engineering Xi'an Jiaotong University Department of Electrical Engineering and Automation Luoyang Institute of Science and Technology School of Mechanical Engineering Hangzhou Dianzi University

The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational performance. Despite numerous data-driven methods reported in existing research for battery SOH estimation, these methods often exhibit inconsistent performance across different application scenarios. To address this issue and overcome the performance limitations of individual data-driven models,integrating multiple models for SOH estimation has received considerable attention. Ensemble learning(EL) typically leverages the strengths of multiple base models to achieve more robust and accurate outputs. However, the lack of a clear review of current research hinders the further development of ensemble methods in SOH estimation. Therefore, this paper comprehensively reviews multi-model ensemble learning methods for battery SOH estimation. First, existing ensemble methods are systematically categorized into 6 classes based on their combination strategies. Different realizations and underlying connections are meticulously analyzed for each category of EL methods, highlighting distinctions, innovations, and typical applications. Subsequently, these ensemble methods are comprehensively compared in terms of base models, combination strategies, and publication trends. Evaluations across 6 dimensions underscore the outstanding performance of stacking-based ensemble methods. Following this, these ensemble methods are further inspected from the perspectives of weighted ensemble and diversity, aiming to inspire potential approaches for enhancing ensemble performance. Moreover, addressing challenges such as base model selection, measuring model robustness and uncertainty, and interpretability of ensemble models in practical applications is emphasized. Finally, future research prospects are outlined, specifically noting that deep learning ensemble is poised to advance ens

关键词： Contrastive Learning

Rational modulation of fluorophosphate cathode by anionic groups to reduce the polarization behavior for fast-charging sodium-ion batteries

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Journal of Energy Chemistry 2025年第1期100卷 509-521页

作者： Xinyuan wang Fan Zhang Xingyu Zhou Qian wang Changyu Liu Yangyang Liu Hui wang Xiaojie Liu Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education College of Chemistry & Materials Science Northwest University

Na3V2（PO4）2O2F （VP） is recognized as a promising cathode material for sodium-ion batteries due to its stable structural framework and high specific *** functional theory （DFT） and finite element simulations show that incorporating SO42-into VP decreases its band gap,lowers the migration energy barrier,and ensures a uniform Na+concentration gradient and stress distribution during charge and discharge ***,the average Na+diffusion coefficient of Na3V2（PO4）1.95（SO4）0.05O2F（VPS-1） is roughly double that of VP,leading to enhanced rate capability (80 C,75.5 mAh g-1) and cycling stability (111.0 mAh g-1capacity after 1000 cycles at 10 C current density) for ***-1 exhibits outstanding fast-charging capabilities,achieving an 80%state of charge in just 8.1 *** assembled VPS-1//SbSn/NPC full cell demonstrated stable cycling over 200 cycles at a high 5 C current,maintaining an average coulombic efficiency of 95.35%.

关键词： Anionic group modulation Polarization behavior Fast-charging Sodium-ion battery Fluorophosphate Cathode

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

The gene expression profile and overexpression of apoptosis-related genes (NGFI-B and Gadd 45γ) in early phase of Thy-1 nephritis model

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The gene expression profile and overexpression of apoptosis-...

Metastable seed-crystals: epitaxial growth of branched-array organic heterostructure nanowires

中国免疫学会第五届全国代表大会暨学术会议

作者： Jing-hua Xu, wen Qiu, ying-wei wang, Juan Xu, Jian-xia Tong, Ling-juan Gao, wen-huang Xu, Yi-qin Wu (Department of Immunology, Nanjing Medical University, Nanjing, 210029, China Corresponding author, Department of Immunology, Nanjing Medical University, Nanjing Hanzhong Road 140 , Jiangsu Province, 210029, China.

Mesangioproliferative glomerulonephritis ( MPGN) is a disease of high incidence in humans. Rat Thy-1 nephritis (Thy-1 N) , namely, anti-thymocyte serum ( ATS)-induced nephritis is usually considerated to be an animal model for studying MPGN. Although previous studies demonstrated that the glomerular mesangial cells (GMCs) injury was thought to be a feature of Thy-1 N, the mechanism of the disease (i. e. GMCs apoptosis) remains unclear.

关键词： Thy-1 nephritis Glomerular mesangial cell Apoptosis NGFI-B Gadd45γ

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Science China Chemistry 2025年

作者： Jin Feng Zhen-Yu Geng Ting-Yao Song ying-Xin Ma Chuan-Zeng wang Wei Zhang Hong-Tao Lin Jin Zhou Shu-Ping Zhuo Shu-Hai Chen Xue-Dong wang School of Chemistry and Chemical Engineering Shandong University of Technology Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & DevicesSoochow University College of Chemistry and Chemical Engineering Hunan Normal University

Tunable light–matter interactions are exhibited by organic low-dimensional crystals, making these crystals a promising platform for organic photonics. However, the precise synthesis of organic low-dimensional crystals remains challenging due to the stochastic nature of molecular nucleation processes. Herein, the directed nucleation process is driven by the introduction of metastable seed-crystals as the trunk, which ultimately leads to branched-array organic heterostructures. The successful formation of organic heterostructures with high-density branched arrays is attributed to the highest attachment energy (Eatt（023）=-104.25 kcal mol-1) of the exposed （023） crystal plane during the seed-crystal growth route. Significantly, these as-prepared heterostructures inherently have an ultralow lattice mismatch ratio η of 0.7%between trunk and branch, which contributes to the multi-channel photon transportation. Therefore, this work provides valuable insights into a versatile synthetic strategy for accessing low-dimensional heterostructures for integrated optoelectronics.

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负责任的社会科学数据治理的内涵、特征与层次

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现代情报 2025年第1期45卷 124-134页

作者：王英卢国强湖北大学历史文化学院湖北武汉430062 吉林大学商学与管理学院吉林长春130012

[目的/意义]“十四五”国家哲学社会科学发展规划的背景下,负责任的数据治理成为促进社会科学数据开放共享、推进社会科学研究与创新的重要驱动力,亟须探索负责任的社会科学数据治理的基础理论。[方法/过程]运用主题分析法,探寻负责任... 详细信息

[目的/意义]“十四五”国家哲学社会科学发展规划的背景下,负责任的数据治理成为促进社会科学数据开放共享、推进社会科学研究与创新的重要驱动力,亟须探索负责任的社会科学数据治理的基础理论。[方法/过程]运用主题分析法,探寻负责任的数据治理的概念要素及维度,按照国际标准ISO704:2009的概念关系,结合社会科学数据的特性,阐释负责任的社会科学数据治理的内涵及其与相关概念的关系、特征、层次与内容,旨在构建一个较为全面且系统的概念体系。[结果/结论]负责任的社会科学数据治理是多元主体在现有的数据治理环境之下,运用相应的治理机制和手段,将负责任的研究与创新的理念和原则融入社会科学数据全生命周期,以确保所有涉及社会科学数据的流程和成果的责任性的过程,具有责任性、反思性、前瞻性、开放性和工具性特征,可划分为战略层、数据层和活动层。

关键词：社会科学数据负责任的数据治理数据治理

Stepwise assembly to construct stable copper(I) cluster-based circularly polarized luminescent MOFs

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Science China Chemistry 2025年

作者： Jing-wen Xie Meng-Ting wang Yan Jin Si Li Jian-Hua Qin Shuang-Quan Zang Tomas C.W.Mak College of Chemistry Henan Key Laboratory of Crystalline Molecular Functional Materials Zhengzhou University College of Chemistry and Chemical Engineering Luoyang Normal University Department of Chemistry The Chinese University of Hong Kong

Circularly polarized luminescence （CPL） materials have been extensively studied in recent years owing to their widespread applications in 3D display,optical storage,optical anti-counterfeiting,and biological imaging,***（I） clusters have emerged as a promising candidate for CPL materials,driven by their cost-effectiveness,superior luminescent properties,precise structure,and low ***,the poor environmental stability of copper（I） clusters renders their synthesis and preservation challenging,thereby significantly impeding their ***,we have designed and synthesised a chiral double-coordinated ligand in order to construct copper（I） cluster nodes that can be further *** anticipated,by utilizing stepwise assembly strategy,a Cu4cluster node co-modified by chiral alkynyl ligands and triphenylphosphine was further assembled with Cd2+ions to obtain 2D layers structure,L/*** L/D-Cu4-Cd exhibits excellent stability and optical properties,including bright yellow emission,solvent-responsive luminescence,and CPL activity with a maximum glumup to 2.0×10-3,which shows potential applications in the WLED and *** interestingly,the material also exhibits deflection ability towards different wavelengths of linearly polarized light,showing certain potential in the preparation of circular polarizer.

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超细输尿管镜治疗婴幼儿输尿管中下段结石的临床研究

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中国现代医学杂志 2019年第12期29卷 118-122页

作者：宁晨王文营王磊李钧田野首都医科大学附属北京友谊医院泌尿外科

目的探讨4.8 F 和4.5 F两款超细输尿管镜在婴幼儿输尿管中下段结石治疗中的有效性及安全性。方法回顾性分析2016年10月—2018 年8月首都医科大学附属北京友谊医院探索性采用超细输尿管镜(4.8F Micro-URS 和4.5 F ultrathin-URS)治疗34 ... 详细信息

目的探讨4.8 F 和4.5 F两款超细输尿管镜在婴幼儿输尿管中下段结石治疗中的有效性及安全性。方法回顾性分析2016年10月—2018 年8月首都医科大学附属北京友谊医院探索性采用超细输尿管镜(4.8F Micro-URS 和4.5 F ultrathin-URS)治疗34 例婴幼儿输尿管中下段结石患儿的临床资料,将患者分为4.8F Micro-URS 组和4.5 F ultrathin-URS 组。术前泌尿系CT平扫确诊输尿管中下段结石。手术采用全身麻醉,取截石位,应用4.8 F Micro-URS 或4.5 F ultrathin-URS 连接带有延长管的50 ml注射器,助手人工推注生理盐水灌注液,直视下进入患侧输尿管,寻找到结石,置入200μm 钬激光光纤行粉末化碎石。分析手术效果、并发症及预后。结果 4.8 F Micro-URS 组碎石治疗11 例,一次进镜成功率为100%,均未行输尿管口扩张。手术时间(19.5±11.3)min,灌注液用量(259±423)ml。一期结石清除率为100%。4.5 Fultrathin-URS 组碎石治疗23 例,一次进镜成功率为100%,均未行输尿管口扩张。手术时间(20.2±10.2)min,灌注液用量(293±229)ml。两组性别比例、年龄、结石大小、手术时间、灌注液用量、术后住院时间、术后发热及血尿比较,差异无统计学意义(P >0.05)。结论两款超细输尿管镜联合钬激光治疗婴幼儿输尿管中下段结石清石率高、安全性好,均是值得推荐的婴幼儿输尿管中下段结石治疗方法。

关键词：输卵管结石输尿管镜婴儿幼儿

大鼠心肌缺血预适应诱导表达上调基因的筛选和鉴定

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生物化学与生物物理进展 2003年第3期30卷 390-394页

作者：袁灿吕青兰陈广文刘瑛王尧玲刘海军邹江肖献忠中南大学湘雅医学院病理生理教研室长沙410078

采用反复短时间结扎及松解左冠状动脉前降支构建大鼠心肌缺血预适应动物模型 ,运用抑制消减杂交技术建立大鼠心肌缺血预适应诱导表达上调基因的消减cDNA文库 ,通过反向RNA点杂交对部分文库基因进行差异表达初筛 ,选取表达差异最明显的 8... 详细信息

采用反复短时间结扎及松解左冠状动脉前降支构建大鼠心肌缺血预适应动物模型 ,运用抑制消减杂交技术建立大鼠心肌缺血预适应诱导表达上调基因的消减cDNA文库 ,通过反向RNA点杂交对部分文库基因进行差异表达初筛 ,选取表达差异最明显的 85个基因进行测序 ,获得了 3 1个核编码基因和 18个新基因 (EST) ,核编码基因中有相当一部分与细胞保护或信号转导有关 ,新基因已被GenBank收录 .从已测序基因中任选 5个进行RT PCR检测 ,并任选 2个进行RNA印迹检测 ,均证实在缺血预适应时表达增高 .

关键词：大鼠心肌缺血预适应诱导表达上调基因筛选鉴定抑制消减杂交