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学者姓名：李明林
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Anthraquinone derivatives, known for their redox properties, are widely recognized as promising cathode materials for aluminum-ion batteries. This study presents an environmentally benign extraction of aloe-emodin from aloe dry powder, a sustainable and economically viable resource, using ferric chloride as an oxidizing agent in an acidic medium. Emodin and its isomer, aloe-emodin, share a symmetrical polycyclic chemical architecture and carbonyl functionalities, but differ in the position of their hydroxyl groups. The shift of a hydroxyl group from the aromatic ring to the methyl moiety in emodin results in aloe-emodin, enhancing its redox potential. As a cathode material in aluminum-ion batteries, aloe-emodin demonstrates enhanced electrochemical performance compared to emodin, showcasing a high reversible specific capacity of 85.9 mAh/g at 50 mA/g, superior rate capability with 42.0 and 32.0 mAh/g at 1000 and 2000 mA/g, respectively, and remarkable long-term cyclability with a capacity retention of 50.3 mAh/g and a Coulombic efficiency of 99.05 % after 6000 cycles at 1000 mA/g. These findings contribute to a deeper understanding of the design principles for aluminum-ion batteries that leverage anthraquinone-based cathode materials.
Keyword ：
aloe-emodin aloe-emodin aluminum ion batteries aluminum ion batteries electrochemical performances electrochemical performances Emodin Emodin organic cathode organic cathode
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| GB/T 7714 | Wang, Zhenshuai , Qiu, Haihua , Hong, Ruoyu et al. Sustainable Aloe-Emodin as an Advanced Organic Cathode for High-Performance Aluminum-Ion Batteries [J]. | CHEMSUSCHEM , 2025 . |
| MLA | Wang, Zhenshuai et al. "Sustainable Aloe-Emodin as an Advanced Organic Cathode for High-Performance Aluminum-Ion Batteries" . | CHEMSUSCHEM (2025) . |
| APA | Wang, Zhenshuai , Qiu, Haihua , Hong, Ruoyu , Li, Minglin . Sustainable Aloe-Emodin as an Advanced Organic Cathode for High-Performance Aluminum-Ion Batteries . | CHEMSUSCHEM , 2025 . |
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Rechargeable graphene-based aluminum-ion batteries (AIBs) are recognized as a promising energy storage system. The impact of the macroscopic morphology of graphene electrodes on electrochemical performance, however, has been minimally explored. Reduced graphene oxide (rGO) was synthesized via a modified Hummers method and hydrothermal reduction, utilizing natural flake graphite as the starting material. The traditional electrode preparation process was employed, where the active material, conductive agent, and binder were combined to form a slurry for coating and subsequent drying, resulting in the rGO electrode. Aerogel-shaped rGO (rGOA) and film-shaped rGO (rGOF) electrodes were additionally crafted through freeze-drying and filtration drying techniques. Among the three distinct rGO electrode morphologies tested as cathodes in AIBs, the rGOF electrode demonstrated outstanding electrochemical characteristics, including a high specific capacity of 149.3 mAh/g at 500 mA/g, a substantial rate performance of 55.3 mAh/g at 10,000 mA/g, and an impressive long-term cycling stability of 94.5 mAh/g with a Coulombic efficiency of 95.8 % at 5000 mA/g after 10,000 cycles. These superior properties are attributed to the rGOF's binder-free, densely packed structure. The findings suggest that the rGOF electrode holds significant potential as a cathode material for AIBs, offering advantages in both scalable preparation and superior electrochemical performance.
Keyword ：
Aluminum ion batteries Aluminum ion batteries Electrochemical performance Electrochemical performance Electrodes Electrodes Macroscopic morphology Macroscopic morphology Reduced graphene oxide Reduced graphene oxide
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| GB/T 7714 | Wang, Zhenshuai , Zhang, Dai , Chen, Jianguo et al. High-performance aluminum-ion batteries enabled by architected reduced graphene oxide electrodes [J]. | SURFACES AND INTERFACES , 2025 , 63 . |
| MLA | Wang, Zhenshuai et al. "High-performance aluminum-ion batteries enabled by architected reduced graphene oxide electrodes" . | SURFACES AND INTERFACES 63 (2025) . |
| APA | Wang, Zhenshuai , Zhang, Dai , Chen, Jianguo , Hong, Ruoyu , Li, Minglin . High-performance aluminum-ion batteries enabled by architected reduced graphene oxide electrodes . | SURFACES AND INTERFACES , 2025 , 63 . |
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ContextThe rotating arc plasma technique for the synthesis of nitrogen-doped graphene capitalizes on the distinctive attributes of plasma, presenting a straightforward, efficient, and catalyst-free strategy for the production of nitrogen-doped graphene. However, experimental outcomes generally fail to elucidate the atomic-level mechanism behind this process. Our research utilizes molecular dynamics simulations to explore theoretically the formation of radicals during the plasma-driven reaction between methane (CH4) and nitrogen (N-2). The simulations present a complex reaction system comprising nine principal species: CH4, CH3, CN, CH2, HCN, CH, N-2, H-2 and H. Notably, HCN and CN emerge as pivotal precursors for nitrogen doping. Optimal nitrogen concentrations enhance the synthesis of these precursors, whereas excessive nitrogen suppresses the formation of C-2 species, impacting the yield of nitrogen-doped graphene. Conversely, higher methane concentrations stimulate the generation of carbon radicals, augmenting the production of HCN and CN and thus, influencing the properties of the synthesized material. This work is expected to lay a theoretical foundation for the refinement of nitrogen-doped graphene synthesis processes.MethodsIn this investigation, we employed the LAMMPS software package to explore the formation of free radicals during the methane-nitrogen reaction via molecular dynamics (MD) simulations. These simulations were conducted under an NVT ensemble, maintaining a constant temperature of 3500 K with a time step of 0.1 fs over a duration of 1000 ps. To reduce the variability and enhance the reliability of the simulation outcomes, each simulation was meticulously conducted three times under identical parameters for subsequent statistical analysis.
Keyword ：
Methane Methane Molecular Dynamics Molecular Dynamics Nitrogen gas Nitrogen gas Radicals Radicals
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| GB/T 7714 | Dong, Chuanhao , Li, Minglin , Yang, Hai et al. Plasma-driven synthesis of nitrogen-doped graphene: unveiling the reaction mechanism and kinetic insights [J]. | JOURNAL OF MOLECULAR MODELING , 2025 , 31 (2) . |
| MLA | Dong, Chuanhao et al. "Plasma-driven synthesis of nitrogen-doped graphene: unveiling the reaction mechanism and kinetic insights" . | JOURNAL OF MOLECULAR MODELING 31 . 2 (2025) . |
| APA | Dong, Chuanhao , Li, Minglin , Yang, Hai , Huang, Yanyi , Wu, Bo , Hong, Ruoyu . Plasma-driven synthesis of nitrogen-doped graphene: unveiling the reaction mechanism and kinetic insights . | JOURNAL OF MOLECULAR MODELING , 2025 , 31 (2) . |
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Photoelectronic sensors, such as phototransistors, photoelectronic vision sensors, and photoelectronic memory elements based on low-dimensional nanomaterials and their hybrid structures, have received considerable attention for their unique structure and characteristics. Most studies on photoconductance sensors focus on positive photoconductivity (PPC); however, rare cases exist in which the conductivity decreases under light exposure. Such cases are known as negative photoconductivity (NPC). The integration of NPC and PPC has garnered significant interest for its switchable memorized electron transport mechanism, thus paving a novel way for the creation of nonvolatile memories, photoelectric logic gates, and neuromorphic computing systems. To deepen our understanding of NPC-based photoelectric sensors, we focus primarily on the basic mechanics of NPC effects and explore the related materials, structures, properties, and applications. Then, we highlight the modulation techniques for achieving NPC and PPC switching and discuss the most promising logic and memory applications by integrating the NPC and PPC effects. Furthermore, this study addresses key challenges in research on nanomaterials that exhibit NPC effects, aiming to inspire further exploration of novel, high-performance, and stable photoelectric sensors.
Keyword ：
Charge carriers Charge carriers Electrons Electrons Electron traps Electron traps Graphene Graphene Lighting Lighting Nanomaterials Nanomaterials Negative photoconductance Negative photoconductance neuromorphic computing neuromorphic computing nonvolatile memory nonvolatile memory Photoconductivity Photoconductivity photoelectric logic gates photoelectric logic gates photoelectric sensors photoelectric sensors Radiative recombination Radiative recombination Sensor phenomena and characterization Sensor phenomena and characterization Sensors Sensors
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| GB/T 7714 | Shi, Huiyao , Tang, Si , Shi, Jialin et al. Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review [J]. | IEEE SENSORS JOURNAL , 2025 , 25 (4) : 5935-5955 . |
| MLA | Shi, Huiyao et al. "Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review" . | IEEE SENSORS JOURNAL 25 . 4 (2025) : 5935-5955 . |
| APA | Shi, Huiyao , Tang, Si , Shi, Jialin , Yu, Peng , Yang, Tie , Li, Minglin et al. Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review . | IEEE SENSORS JOURNAL , 2025 , 25 (4) , 5935-5955 . |
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3d transition metal-based lithium-rich cathodes (LRMNC), exemplified by the chemical formulas Li1+xTM1-xO2 and xLi(2)MnO(3)center dot(1-x)LiTMO2 (where TM represents Mn, Ni, or Co), exhibit markedly higher capacities (similar to 250-300 mAh/g) and energy densities (similar to 1000 Wh/kg) than their conventional counterparts. This enhanced performance is a result of synergistic cationic and anionic redox reactions, particularly those involving oxygen, which significantly boost the cathode's specific capacity and energy density. Nonetheless, LRMNCs encounter formi-dable challenges, including structural degradation, capacity and voltage decay, hysteresis, and sluggish kinet-ics-issues that stem from complex cationic and anionic redox processes (CAR). The interplay between these redox reactions is sophisticated and crucial for optimizing the performance of LRMNCs. Our study offers an in- depth analysis of these processes, highlighting their intricate interactions, and aims to enhance the stability and efficiency of these cathode materials. Additionally, we provide a comprehensive review of the evolution of layered lithium-rich oxide (LLRO) cathodes, detailing the development of CAR processes, their impacts, and potential strategies for improvement.
Keyword ：
Cationic and anionic redox processes (CAR) Cationic and anionic redox processes (CAR) Consequences Consequences Doping Doping Lithium rich 3d transition metal (Mn/Ni/Co) cathode (LRMNC) Lithium rich 3d transition metal (Mn/Ni/Co) cathode (LRMNC) Surface engineering Surface engineering
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| GB/T 7714 | Bhosale, Sanjana S. , Hong, Ruoyu , Li, Minglin et al. Unlocking the full potential of 3d transition metal-based lithium-rich cathodes: Enhancing redox and mitigating degradation [J]. | JOURNAL OF ENERGY STORAGE , 2025 , 111 . |
| MLA | Bhosale, Sanjana S. et al. "Unlocking the full potential of 3d transition metal-based lithium-rich cathodes: Enhancing redox and mitigating degradation" . | JOURNAL OF ENERGY STORAGE 111 (2025) . |
| APA | Bhosale, Sanjana S. , Hong, Ruoyu , Li, Minglin , Chen, Jianguo . Unlocking the full potential of 3d transition metal-based lithium-rich cathodes: Enhancing redox and mitigating degradation . | JOURNAL OF ENERGY STORAGE , 2025 , 111 . |
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Entropy theories play a significant role in rotating machinery fault detection. The key parameters of these methods are, however, often selected subjectively based on trial-and-error methods or engineering experience. Unsuitable parameters would result in an inconsistency between the extracted entropy results and the realistic case. In order to address this issue, a complexity measurement method called "swarm intelligence optimization entropy" (SIOE) is proposed, which adaptively estimates optimal parameters using skewness metrics, logistic chaos theory, and African vulture optimization (AVO). By considering the variability and dynamic changes of various signals, SIOE enables the extraction of robust and discriminative dynamic features. Additionally, a collaborative intelligent fault detection method for rotating machinery fault detection is developed, based on SIOE and extreme gradient boosting (XGBoost). This method aims to accurately identify single faults, compound faults, and varying fault degrees within the rotating machinery. Simulation and fault detection experiments on rotating machines demonstrate that SIOE improves recognition accuracy by up to 21.25% compared to existing entropy methods. The proposed intelligent fault detection method improves recognition accuracy by up to 15.71% compared to advanced fault detection methods. These results highlight the advantages of SIOE in complexity measurement and feature extraction, as well as the effectiveness and accuracy of the proposed intelligent fault detection method, in identifying rotating machinery faults.
Keyword ：
Accuracy Accuracy Aerodynamics Aerodynamics Complexity theory Complexity theory Entropy Entropy Extreme gradient boosting (XGBoost) Extreme gradient boosting (XGBoost) fault detection fault detection Fault detection Fault detection feature extraction feature extraction Feature extraction Feature extraction Fluctuations Fluctuations Machinery Machinery Particle swarm optimization Particle swarm optimization rotating machinery rotating machinery swarm intelligence optimization entropy (SIOE) swarm intelligence optimization entropy (SIOE) Vibrations Vibrations
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| GB/T 7714 | Wang, Zhenya , Yao, Ligang , Li, Minglin et al. A High-Accuracy Fault Detection Method Using Swarm Intelligence Optimization Entropy [J]. | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
| MLA | Wang, Zhenya et al. "A High-Accuracy Fault Detection Method Using Swarm Intelligence Optimization Entropy" . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 74 (2025) . |
| APA | Wang, Zhenya , Yao, Ligang , Li, Minglin , Chen, Meng , Zhao, Jingshan , Chu, Fulei et al. A High-Accuracy Fault Detection Method Using Swarm Intelligence Optimization Entropy . | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT , 2025 , 74 . |
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均匀化热处理是改善铸锭机械性能的有效方法,但存在能耗高和过烧等问题.针对高性能压力铸造AC4B 铝合金的开发,采用 CALPHAD 方法进行模拟分析,研究设计最优的均匀化处理参数.仿真结果显示:合金中 Zn 元素和 Cu 元素的偏析程度最大,在较低温度范围内(≤420℃)最难消除且 Cu 元素尤甚.然而,经过优化设计的均匀化处理工艺 370℃×2 h+508℃×6 h,合金中各元素的偏析均得到消除,Cu 元素的偏析量降至0.14wt%.这工艺对于推动均匀化处理工艺的应用及高性能铝合金材料的研发提供了理论指导和设计依据.
Keyword ：
凝固偏析 凝固偏析 均匀化 均匀化 铝合金 铝合金
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| GB/T 7714 | 王秋霞 , 杨海 , 李春 et al. 高性能AC4B铝合金的均匀化工艺设计 [J]. | 南方金属 , 2025 , (1) : 1-5 . |
| MLA | 王秋霞 et al. "高性能AC4B铝合金的均匀化工艺设计" . | 南方金属 1 (2025) : 1-5 . |
| APA | 王秋霞 , 杨海 , 李春 , 李明林 . 高性能AC4B铝合金的均匀化工艺设计 . | 南方金属 , 2025 , (1) , 1-5 . |
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The rotating arc plasma method, based on its unique characteristics, provides a simple, efficient, and catalyst-free approach for graphene material synthesis. This study employs molecular dynamics simulations to theoretically investigate the detailed growth process of graphene at the atomic scale using plasma. During the growth process, different radicals serve as dissociation precursors within the plasma. Simulation results indicate that the growth process of graphene clusters involves three stages: extension of carbon clusters, cyclization of carbon chains, and coalescence of clusters into sheets. Firstly, the precursor concentration affects the size of graphene clusters; increasing the precursor concentration enlarges the cluster size but also increases the likelihood of curling. Secondly, increasing the hydrogen content in the precursor can reduce the growth rate of clusters, decrease dangling bonds at the periphery of clusters, thereby slowing down cluster closure and maintaining a well-defined sheet structure. Lastly, appropriately elevating the simulation temperature can enhance the reaction rate during the simulation process without altering the reaction pathway. These research findings establish the foundation for understanding the growth mechanism of graphene. © 2024 Elsevier Inc.
Keyword ：
Graphene Graphene Molecular dynamics Molecular dynamics Plasma Plasma RDF analysis RDF analysis
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| GB/T 7714 | Dong, C. , Li, M. , Huang, Y. et al. Molecular dynamics simulation study of graphene synthesis by rotating arc plasma [J]. | Journal of Molecular Graphics and Modelling , 2024 , 133 . |
| MLA | Dong, C. et al. "Molecular dynamics simulation study of graphene synthesis by rotating arc plasma" . | Journal of Molecular Graphics and Modelling 133 (2024) . |
| APA | Dong, C. , Li, M. , Huang, Y. , Yang, H. , Wu, B. , Hong, R. . Molecular dynamics simulation study of graphene synthesis by rotating arc plasma . | Journal of Molecular Graphics and Modelling , 2024 , 133 . |
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为改善烟草加料工序中的烟叶粘料问题,通过CFD数值模拟优化喷雾效果,以增强烟叶对料液的吸收,减少粘料.通过正交试验研究料液喷嘴的液滴初始速度、水平入射角度、喷嘴半角等因素对料液喷嘴的雾化效果的影响.结果表明,液滴初始速度对雾化效果影响最大,水平入射角度次之.对液滴初始速度、水平入射角度、料液黏度进行单因素试验,当液滴初始速度从 100 m/s提升至 400 m/s时,雾化场液滴的索特平均直径(SMD)从 82.75 μm降至 14.37 μm,雾化定向性与均匀度提升明显.调整水平入射角度从 20°至 35°,发现水平入射角度 25°时,雾化区域更大,SMD更细小.响应面分析得到,液滴初始速度与水平入射角度间的交互作用不显著.高速气流下,料液的黏度对雾化场中大尺寸液滴的影响小于较小尺寸的液滴.经试验验证,改良后的喷嘴方案使滚筒内粘附的烟叶重量大幅减少,降至不超过 0.31 kg/批.研究结果可有效降低烟草加料工序中的粘料量,为雾化效果优化提供理论依据.
Keyword ：
数值模拟 数值模拟 滚筒加料机 滚筒加料机 粘料 粘料 雾化 雾化
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| GB/T 7714 | 黄炎伊 , 李跃贵 , 黄津焕 et al. 烟草加料中喷嘴工艺参数对料液雾化效果的影响 [J]. | 包装与食品机械 , 2024 , 42 (6) : 25-33 . |
| MLA | 黄炎伊 et al. "烟草加料中喷嘴工艺参数对料液雾化效果的影响" . | 包装与食品机械 42 . 6 (2024) : 25-33 . |
| APA | 黄炎伊 , 李跃贵 , 黄津焕 , 魏海锋 , 李明林 . 烟草加料中喷嘴工艺参数对料液雾化效果的影响 . | 包装与食品机械 , 2024 , 42 (6) , 25-33 . |
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市场对铝合金性能的要求多方面，既有高强、高导热，也有低密度、低膨胀系数等要求。文章在日标AC9B铝合金标准成分范围内，采用CALPHAD热力学计算方法，模拟不同元素质量分数下铝合金的综合性能，包括屈服强度、导热率、膨胀系数、电导率、密度、拉伸强度、泊松比、杨氏模量等，建立合金性能与合金元素质量百分数之间的函数关系及多元线性规划问题，求解获得合金最优性能及合金组分，为高强高导热铝合金组分的优化设计提供理论依据。
Keyword ：
凝固偏析 凝固偏析 均匀化 均匀化 铝合金 铝合金
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| GB/T 7714 | 赵洪全 , 杨海 , 吴金丁 et al. 高强高导热过共晶铝硅合金组分优化设计 [J]. | 南方金属 , 2024 , 4 (01) : 1-3,8 . |
| MLA | 赵洪全 et al. "高强高导热过共晶铝硅合金组分优化设计" . | 南方金属 4 . 01 (2024) : 1-3,8 . |
| APA | 赵洪全 , 杨海 , 吴金丁 , 李明林 . 高强高导热过共晶铝硅合金组分优化设计 . | 南方金属 , 2024 , 4 (01) , 1-3,8 . |
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