Query：
学者姓名：李明林
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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.
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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.
Keyword ：
Graphene Graphene Molecular dynamics Molecular dynamics Plasma Plasma RDF analysis RDF analysis
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Dong, Chuanhao , Li, Minglin , Huang, Yanyi et al. Molecular dynamics simulation study of graphene synthesis by rotating arc plasma [J]. | JOURNAL OF MOLECULAR GRAPHICS & MODELLING , 2024 , 133 . |
| MLA | Dong, Chuanhao et al. "Molecular dynamics simulation study of graphene synthesis by rotating arc plasma" . | JOURNAL OF MOLECULAR GRAPHICS & MODELLING 133 (2024) . |
| APA | Dong, Chuanhao , Li, Minglin , Huang, Yanyi , Yang, Hai , Wu, Bo , Hongd, Ruoyu . Molecular dynamics simulation study of graphene synthesis by rotating arc plasma . | JOURNAL OF MOLECULAR GRAPHICS & MODELLING , 2024 , 133 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
