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| 1 | Speedup in adiabatic evolution based quantum algorithms显示文摘In this context,we study three different strategies to improve the time complexity of the widely used adiabatic evolution algorithms when solving a particular class of quantum search problems where both the initial and final Hamiltonians are one-dimensional projector Hamiltonians on the corresponding ground state.After some simple analysis,we find the time complexity improvement is always accompanied by the increase of some other 'complexities' that should be considered.But this just gives the implication that more feasibilities can be achieved in adiabatic evolution based quantum algorithms over the circuit model,even though the equivalence between the two has been shown.In addition,we also give a rough comparison between these different models for the speedup of the problem. | SUN Jie LU SongFeng LIU Fang | 2012 | Science China(Physics,Mechanics & Astronomy)2012，55，9： | 5 |
| 2 | Unsupervised clustering based reduced support vector machines显示文摘 | Zheng Songfeng Lu Xiaofeng Zheng Nanning | 2003 | IEEE Digital Object Identifier2003，2，： | 1 |
| 3 | Degradation mechanism analysis of LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2) single crystal cathode materials through machine learning显示文摘LiNi_(0.5)Co_(0.2)Mn_(0.3)O_(2)(NCM523)has become one of the most popular cathode materials for current lithium-ion batteries due to its high-energy density and cost performance.However,the rapid capacity fading of NCM severely hinders its development and applications.Here,the single crystal NCM523 materials under different degradation states are characterized using scanning transmission electron microscopy(STEM).Then we developed a neural network model with a two-sequential attention block to recognize the crystal structure and locate defects in STEM images.The number of point defects in NCM523 is observed to experience a trend of increasing first and then decreasing in the degradation process.The space between the transition metal columns shrinks obviously,inducing dramatic capacity decay.This analysis sheds light on the defect evolution and chemical transformation correlated with layered material degradation.It also provides interesting hints for researchers to regenerate the electrochemical capacity and design better battery materials with longer life. | Wuxin Sha Yaqing Guo Danpeng Cheng Qigao Han Ping Lou Minyuan Guan Shun Tang Xinfang Zhang Songfeng Lu Shijie Cheng Yuan-Cheng Cao | 2022 | npj Computational Materials2022，，1： | 1 |
| 4 | Mining Association Rules Using Clustering显示文摘 | Liu Fang Lu Zhengding Lu Songfeng | 2001 | Intelligent Data AnMysis2001，5，4： | 1 |
| 5 | Mining Association Rules using Clustering显示文摘 | Liu Fang Lu Zhengding Lu Songfeng | 2001 | Intelligent Data Analysis2001，5，4： | 1 |
| 6 | A graphene-pure-sulfur sandwich structure for ultra fast , long-life lithium-sulfur batteries显示文摘 | ZHOU Guangmin PEI Songfeng LI Lu | 2014 | Advanced Materials2014，26，4： | 1 |
| 7 | Machine learning in polymer informatics显示文摘Polymers have been widely used in energy storage,construction,medicine,aerospace,and so on.However,the complexity of chemical composition and morphology of polymers has brought challenges to their development.Thanks to the integration of machine leaming algorithms and large data resources,the data-driven methods have opened up a new road for the development of poly-mer science and engineering.The emerging polymer informatics attempts to accelerate the performance prediction and process optimization of new poly-mers by using machine learning models based on reliable data.With the grad-ual supplement of currently available databases,the emergence of new databases and the continuous improvement of machine learning algorithms,the research paradigm of polymer informatics will be more efficient and widely used.Based on these points,this paper reviews the development trends of machine learning assisted polymer informatics and provides a simple introduc-tion for researchers in materials,artificial intelligence,and other fields. | Wuxin Sha Yan Li Shun Tang Jie Tian Yuming Zhao Yaqing Guo Weixin Zhang Xinfang Zhang Songfeng Lu Yuan-Cheng Cao Shijie Cheng | 2021 | InfoMat2021，3，4： | 1 |
| 8 | Mining association rules using clustering显示文摘 | Liu Fang Lu Zhengding Lu Songfeng | 2001 | Intelligent Data Analysis2001，5，4： | 1 |
| 9 | An improved quantum-hehaved particle swarm optimization method for short-term combined economic emission hydrothermal sched- uling显示文摘 | LU Songfeng SUN Chengfu LU Zhengding | 2010 | Energy Conversion and Management2010，51，3： | 1 |
| 10 | Mining Association Rules Using Clustering显示文摘 | Fang Liu Zhengding Lu Songfeng Lu | 2001 | Intelligent Data Analysis2001，5，4： | 1 |
| 11 | A New Clustering Algorithm for Categorical Attributes显示文摘In traditional data clustering, similarity of a cluster of objects is measured by distance between objects. Such measures are not appropriate for categorical data. A new clustering criterion to determine the similarity between points with categorical attributes is pre- sented. Furthermore, a new clustering algorithm for categorical attributes is addressed. A single scan of the dataset yields a good clus- tering, and more additional passes can be used to improve the quality further. | Songfeng Lu, Zhengding Lu (College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China) | 2000 | International Journal of Minerals,Metallurgy and Materials2000，14，4： | 1 |
| 12 | A Graphene–Pure‐Sulfur Sandwich Structure for Ultrafast, Long‐Life Lithium–Sulfur Batteries显示文摘 | Guangmin Zhou Songfeng Pei Lu Li Da‐Wei Wang Shaogang Wang Kun Huang Li‐Chang Yin Feng Li Hui‐Ming Cheng | 2014 | Adv Mater2014，，4： | 1 |
| 13 | Supply chain coordination based on a buybaek contract under fuzzy random variable demand 显示文摘 | ZHANG Biao LU Songfeng ZHANG Di | 2014 | Fuzzy Sets and Sys- tems2014，17，5： | 1 |
| 14 | A Blockchain-Based Architecture for Securing Industrial IoTs Data in Electric Smart Grid显示文摘There are numerous internet-connected devices attached to the industrial process through recent communication technologies,which enable machine-to-machine communication and the sharing of sensitive data through a new technology called the industrial internet of things(IIoTs).Most of the suggested security mechanisms are vulnerable to several cybersecurity threats due to their reliance on cloud-based services,external trusted authorities,and centralized architectures;they have high computation and communication costs,low performance,and are exposed to a single authority of failure and bottleneck.Blockchain technology(BC)is widely adopted in the industrial sector for its valuable features in terms of decentralization,security,and scalability.In our work,we propose a decentralized,scalable,lightweight,trusted and secure private network based on blockchain technology/smart contracts for the overhead circuit breaker of the electrical power grid of the Al-Kufa/Iraq power plant as an industrial application.The proposed scheme offers a double layer of data encryption,device authentication,scalability,high performance,low power consumption,and improves the industry’s operations;provides efficient access control to the sensitive data generated by circuit breaker sensors and helps reduce power wastage.We also address data aggregation operations,which are considered challenging in electric power smart grids.We utilize a multi-chain proof of rapid authentication(McPoRA)as a consensus mechanism,which helps to enhance the computational performance and effectively improve the latency.The advanced reduced instruction set computer(RISC)machinesARMCortex-M33 microcontroller adopted in our work,is characterized by ultra-low power consumption and high performance,as well as efficiency in terms of real-time cryptographic algorithms such as the elliptic curve digital signature algorithm(ECDSA).This improves the computational execution,increases the implementation speed of the asymmetric cryptographic algorithm and provides data integrity and device authenticity at the perceptual layer.Our experimental results show that the proposed scheme achieves excellent performance,data security,real-time data processing,low power consumption(70.880 mW),and very low memory utilization(2.03%read-only memory(RAM)and 0.9%flash memory)and execution time(0.7424 s)for the cryptographic algorithm.This enables autonomous network reconfiguration on-demand and real-time data processing. | Samir M.Umran Songfeng Lu Zaid Ameen Abduljabbar Xueming Tang | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 15 | Experimental Research on Supercritical Carbon Dioxide Fracturing of Sedimentary Rock:A Critical Review显示文摘Supercritical carbon dioxide(ScCO_(2))fracturing has great advantages and prospects in both shale gas exploitation and CO_(2)storage.This paper reviews current laboratory experimental methods and results for sedimentary rocks fractured by ScCO_(2).The breakdown pressure,fracture parameters,mineral composition,bedding plane angle and permeability are discussed.We also compare the differences between sedimentary rock and granite fractured by ScCO_(2),ultimately noting problems and suggesting solutions and strategies for the future.The analysis found that the breakdown pressure of ScCO_(2)was reduced 6.52%–52.31%compared with that of using water.ScCO_(2)tends to produce a complex fracture morphology with significantly higher permeability.When compared with water,the fracture aperture of ScCO_(2)was decreased by 4.10%–72.33%,the tortuosity of ScCO_(2)was increased by 5.41%–70.98%and the fractal dimension of ScCO_(2)was increased by 4.55%–8.41%.The breakdown pressure of sandstone is more sensitive to the nature of the fracturing fluid,but fracture aperture is less sensitive to fracturing fluid than for shale and coal.Compared with granite,the tortuosity of sedimentary rock is more sensitive to the fracturing fluid and the fracture fractal dimension is less sensitive to the fracturing fluid.Existing research shows that ScCO_(2)has the advantages of low breakdown pressure,good fracture creation and environmental protection.It is recommended that research be conducted in terms of sample terms,experimental conditions,effectiveness evaluation and theoretical derivation in order to promote the application of ScCO_(2)reformed reservoirs in the future. | ZHENG Bowen QI Shengwen LU Wei GUO Songfeng WANG Zan YU Xin ZHANG Yan | 2023 | Acta Geologica Sinica(English Edition)2023，97，3： | 0 |
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