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学者姓名：李明林
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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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The LiFePO4 cathode material possesses a low diffusion coefficient and exhibits poor electronic conductivity, respectively due to its uniaxial ion channel and inherent semiconductor properties. To address these limitations, Co and Nb doping emerges as a vital solution owing to their similar ionic radii and stable valence states. In this study, density functional theory (DFT) is employed to investigate the impact of Co and Nb doping on the electrochemical and mechanical properties of LiFePO4. The results reveal that the dopants lead to an expansion in the lattice constant of LiFePO4. Furthermore, doping brings about a significant reduction in the volume change rate (0.3% for Co doping and 1% for Nb doping), resulting in enhanced transmission of lithium ions. Specifically, Co and Nb doping elevate the lithium removal voltage of LiFePO4 from 3.44 to 3.96 V and 3.8 V, respectively. Furthermore, these doping processes enhance the material's mechanical properties. It is worth noting that the doping of Co and Nb reduces the migration barrier and increases the diffusion rate of lithium ions. It is observed that the proximity to the doped ion increases the energy barrier, whereas moving away from the doped ion decreases the energy barrier, emphasizing the significant influence of dopant ions on the local energy barrier. Additionally, after doping, the operating voltage of the battery experiences a significant increase. Overall, the selected elements in this study demonstrate promising potential to enhance the performance of LiFePO4 cathode materials, offering encouraging prospects for future advancements in battery technology.
Keyword ：
Discharge rate Discharge rate First-principles First-principles LiFePO4 LiFePO4 Lithium removal voltage Lithium removal voltage Transition state Transition state
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| GB/T 7714 | Lv, Zhi , Li, Minglin , Yang, Hai et al. The first-principles study on electrochemical performance, mechanical properties, and lithium-ion migration of LiFePO4 modified by doping with Co and Nb [J]. | JOURNAL OF SOLID STATE ELECTROCHEMISTRY , 2024 , 28 (8) : 2873-2883 . |
| MLA | Lv, Zhi et al. "The first-principles study on electrochemical performance, mechanical properties, and lithium-ion migration of LiFePO4 modified by doping with Co and Nb" . | JOURNAL OF SOLID STATE ELECTROCHEMISTRY 28 . 8 (2024) : 2873-2883 . |
| APA | Lv, Zhi , Li, Minglin , Yang, Hai , Lin, Junxiong , Luo, Jing , Hong, Ruoyu et al. The first-principles study on electrochemical performance, mechanical properties, and lithium-ion migration of LiFePO4 modified by doping with Co and Nb . | JOURNAL OF SOLID STATE ELECTROCHEMISTRY , 2024 , 28 (8) , 2873-2883 . |
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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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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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采用分子动力学模拟方法，构建双层石墨烯旋转摩擦的原子模型，研究缺陷类型、浓度、尺寸效应、石墨烯堆叠方式等因素对其层间旋转摩擦特性的影响，并探讨应变工程的减摩效应.实验结果表明，缺陷类型和堆叠方式对石墨烯旋转摩擦特性的影响较为显著，缺陷类型的影响程度最高.当对底层石墨烯引入拉伸应变后，其旋转摩擦阻力发生衰减，且单空位缺陷与无缺陷模型的力矩递减趋势最为相似.对比研究底层石墨烯的压缩应变，发现其在一定范围内使得层间摩擦增大.本研究有助于缺陷石墨烯层间旋转摩擦特性理论的进一步完善.
Keyword ：
分子动力学 分子动力学 拉伸应变 拉伸应变 旋转摩擦 旋转摩擦 正交试验设计 正交试验设计 缺陷石墨烯 缺陷石墨烯
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| GB/T 7714 | 李明林 , 王攀 , 洪若瑜 . 不同缺陷类型双层石墨烯旋转摩擦特性 [J]. | 福州大学学报(自然科学版) , 2024 , 52 (03) : 276-283 . |
| MLA | 李明林 et al. "不同缺陷类型双层石墨烯旋转摩擦特性" . | 福州大学学报(自然科学版) 52 . 03 (2024) : 276-283 . |
| APA | 李明林 , 王攀 , 洪若瑜 . 不同缺陷类型双层石墨烯旋转摩擦特性 . | 福州大学学报(自然科学版) , 2024 , 52 (03) , 276-283 . |
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Automated of gas and liquid classification technologies are of great in multiple fields including food production and human healthcare. Of these, fruit juice contains water, organic acids, minerals and other nutrients which offers a pleasant taste and promotes healthy condition. However, the main challenges faced by conventional components sensing technologies for juice classification are limited to the complexity of experimental preparation, bulky instrument, high consumption and susceptibility to contamination. Moisture Electricity Generation (MEG) technology has made it feasible to acquire energy from trace amounts of water or environmental humidity. This work proposes a novel sensing unit based on MEG technology. The unit mainly comprises non-woven fabric, hydroxylated carbon nanotubes, polyvinyl alcohol, a solution of sea salt and liquid alloy. By this approach, humid air (relative humidity 60%), pure water and juices from three fruits (lemon, kiwifruit, and clementine) have been successfully classified in 15 seconds. The classification accuracy can reach 90%. Electrical signals standard lines highlight the specific response between samples. The relative standard deviation of stable output section is 1.6% and the root-mean-square error between test data and the standard curve is less than 0.08, which indicates the stability, accuracy are fine. Besides, the sensing unit demonstrates an acceptable reusability. The presented approach may provide opportunities to improve sensing paradigms in industrial and medical settings.
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| GB/T 7714 | Lin, Jiawen , Dong, Hui , Yang, Jintian et al. A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism [J]. | NANO SENSORS FOR AI, HEALTHCARE, AND ROBOTICS, NSENS , 2024 : 76-80 . |
| MLA | Lin, Jiawen et al. "A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism" . | NANO SENSORS FOR AI, HEALTHCARE, AND ROBOTICS, NSENS (2024) : 76-80 . |
| APA | Lin, Jiawen , Dong, Hui , Yang, Jintian , Jia, Haichao , Li, Minglin , Yao, Ligang et al. A Novel Fluid Classification Unit Based on Moisture Electricity Generation Mechanism . | NANO SENSORS FOR AI, HEALTHCARE, AND ROBOTICS, NSENS , 2024 , 76-80 . |
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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. © 2001-2012 IEEE.
Keyword ：
Negative photoconductance Negative photoconductance Neuromorphic computing Neuromorphic computing Nonvolatile memory Nonvolatile memory Photoelectric logic gates Photoelectric logic gates Photoelectric sensors Photoelectric sensors
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| GB/T 7714 | Shi, H. , Tang, S. , Shi, J. et al. Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review [J]. | IEEE Sensors Journal , 2024 , 25 (4) : 5935-5955 . |
| MLA | Shi, H. et al. "Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review" . | IEEE Sensors Journal 25 . 4 (2024) : 5935-5955 . |
| APA | Shi, H. , Tang, S. , Shi, J. , Yu, P. , Yang, T. , Li, M. et al. Negative Photoconductive Effect for Novel Photoelectric Sensors: A Review . | IEEE Sensors Journal , 2024 , 25 (4) , 5935-5955 . |
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As multivalent ion batteries, aluminum ion batteries (AIBs) have broad application prospects. In addition, with the further development of new electrolytes, deep eutectic electrolytes are expected to become a green, inexpensive, safe, and ideal electrolytic liquid system to replace traditional ionic liquid electrolytic systems commonly used in AIBs. Herein, we prepared an AlCl3-acetamide (AcAm) electrolyte and systematically analyzed its ion transport capacity at different molar ratios of its components. Consequently, a compositional ratio of 1 : 1.4 of AcAm : AlCl3 provided the best ion transport capacity, exhibiting an exceptional electrochemical performance with high reversible capacity, excellent rate performance, and excellent cycling performance. The graphite material in the electrolytic liquid system showed a typical charge storage mechanism dominated by diffusion-controlled processes, indicating that the charge storage behavior of the graphite electrode in this type of electrolyte battery is dependent on ion intercalation. Additionally, the main structure of the graphite material showed little to no change during a long electrochemical test cycle, suggesting its high structural stability. This research shows that the amide electrolyte has great potential for electrochemical application and broad application prospect.
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| GB/T 7714 | Bao, Xingyang , Wang, Zhenshuai , Zhang, Dai et al. A deep eutectic electrolyte of AlCl3-acetamide for rechargeable aluminum-ion batteries [J]. | NEW JOURNAL OF CHEMISTRY , 2024 , 48 (13) : 5893-5901 . |
| MLA | Bao, Xingyang et al. "A deep eutectic electrolyte of AlCl3-acetamide for rechargeable aluminum-ion batteries" . | NEW JOURNAL OF CHEMISTRY 48 . 13 (2024) : 5893-5901 . |
| APA | Bao, Xingyang , Wang, Zhenshuai , Zhang, Dai , Hong, Ruoyu , Li, Minglin , Smith, Campion M. et al. A deep eutectic electrolyte of AlCl3-acetamide for rechargeable aluminum-ion batteries . | NEW JOURNAL OF CHEMISTRY , 2024 , 48 (13) , 5893-5901 . |
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针对高性能压力铸造AC4B铝合金的开发，在其标准成分范围内设计正交试验方案，应用热力学计算软件研究合金的机械性能和热力学性能。仿真结果显示，合金成分元素对其机械性能的影响次序为：Cu>Fe>Si>Mg>Mn>Zn>Ni,获得了最优的合金成分组合，并讨论了正交试验设计方法的局限。最后对两组高性能合金的析出相进行热力学计算，并分析了析出相含量对其机械性能的影响。
Keyword ：
性能计算 性能计算 成分设计 成分设计 正交实验 正交实验
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| GB/T 7714 | 杨海 , 李明林 , 赵洪全 et al. 高性能AC4B铝合金成分的优化设计及析出相分析 [J]. | 南方金属 , 2024 , 4 (02) : 7-10 . |
| MLA | 杨海 et al. "高性能AC4B铝合金成分的优化设计及析出相分析" . | 南方金属 4 . 02 (2024) : 7-10 . |
| APA | 杨海 , 李明林 , 赵洪全 , 郑善举 . 高性能AC4B铝合金成分的优化设计及析出相分析 . | 南方金属 , 2024 , 4 (02) , 7-10 . |
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Transition metal Mn ions are highly promising cathode dopant materials. Due to the introduction of Mn ions, as lithium ions are deintercalated, Mn2+ will be transformed into Mn3+. This situation will lead to a severe Jahn-Teller effect, causing significant local lattice distortion and greatly reducing electrochemical stability. This article utilizes first-principles calculations to investigate the doping of Mg, Co, and V to weaken Jahn-Teller effect in LiMn0.5Fe0.5PO4 cathode. The oxidation-reduction processes of three doped models were analyzed, and the electronic structure and charge transfer amount between the Mn ion and the O ion were calculated for each. It was found that, when Mg ions are doped into the crystal, Mn ions will stabilize as Mn2+, thereby weakening the Jahn-Teller effect. However, the addition of V and Co will not alter the Jahn-Teller effect. The differential charge density and partial density of states (PDOS) were also calculated. It was found that only the doping of Mg ions can enable the material to achieve the lowest energy and the smallest volume change rate, which attribute to weaken the Jahn-Teller effect. Only doping with V and Co ions can achieve the highest lithium removal voltage, increasing the average lithium removal voltage from 4.22 to 4.42 V. Mechanical performance calculations show that the structures with two types of doped Mg ion are prone to shear deformation and cannot improve the ductility of the material. Additionally, it was found that the migration barrier of the three doped models was reduced to varying degrees, which is beneficial for the transition of lithium ions. Moreover, the diffusion coefficient of lithium ions also increased by 1-4 orders of magnitude.
Keyword ：
First-principles First-principles LiMn0.5Fe0.5PO4 LiMn0.5Fe0.5PO4 Lithium removal voltage Lithium removal voltage Transition state Transition state
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| GB/T 7714 | Lv, Zhi , Li, Minglin , Lin, Junxiong et al. First-principles study on LiMn0.5Fe0.5PO4 doping to decrease the Jahn-Teller effect [J]. | JOURNAL OF SOLID STATE ELECTROCHEMISTRY , 2023 , 28 (2) : 577-587 . |
| MLA | Lv, Zhi et al. "First-principles study on LiMn0.5Fe0.5PO4 doping to decrease the Jahn-Teller effect" . | JOURNAL OF SOLID STATE ELECTROCHEMISTRY 28 . 2 (2023) : 577-587 . |
| APA | Lv, Zhi , Li, Minglin , Lin, Junxiong , Luo, Jing , Wu, Bo , Hong, Ruoyu et al. First-principles study on LiMn0.5Fe0.5PO4 doping to decrease the Jahn-Teller effect . | JOURNAL OF SOLID STATE ELECTROCHEMISTRY , 2023 , 28 (2) , 577-587 . |
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