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High-throughput systematic topological generation of low-energy carbon allotropes

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npj Computational Materials 2021年第1期7卷 126-132页

作者： Vladislav A.Blatov Changhao Yang dingyi tang Qingfeng Zeng Andrey A.Golov Artem A.Kabanov School of Materials Science and Engineering Northwestern Polytechnical UniversityYouyi West Rd.127Xi’an 710072PR China Samara Center for Theoretical Materials Science(SCTMS) Samara State Technical UniversityMolodogvardeyskaya St.244Samara 443100Russia Samara Center for Theoretical Materials Science(SCTMS) Samara UniversityAc.Pavlov St.1Samara 443011Russia MSEA International Institute for Materials Genome Jinxiu Rd.1Gu’an 065500PR China Samara Branch ofР.N.Lebedev Physical Institute of the Russian Academy of Sciences Novo-Sadovaya St.221443011 SamaraRussia

The search for new materials requires effective methods for scanning the space of atomic configurations,in which the number is *** we present an extensive application of a topological network model of solid-state transformations,which enables one to reduce this infinite number to a countable number of the regions corresponding to topologically different crystalline *** have used this model to successfully generate carbon allotropes starting from a very restricted set of initial structures;the generation procedure has required only three steps to scan the configuration space around the *** a result,we have obtained all known carbon structures within the specified set of restrictions and discovered 224 allotropes with lattice energy ranging in 0.16–1.76 eV atom^(−1) above diamond including a phase,which is denser and probably harder than *** have shown that this phase has a quite different topological structure compared to the hard allotropes from the diamond polytypic *** have applied the tiling approach to explore the topology of the generated phases in more detail and found that many phases possessing high hardness are built from the tiles confined by six-membered *** have computed the mechanical properties for the generated allotropes and found simple dependences between their density,bulk,and shear moduli.

关键词： carbon energy topological

基于模拟退火与网络单纯形法的通信网络中设施选址优化算法

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计算机应用与软件 2022年第8期39卷 125-131页

作者：汤定一复旦大学软件学院上海200433

当用户观看视频时,影响其体验的关键在于带宽,然而视频内容服务器的硬件成本与链路带宽租赁费用相对昂贵。因此,如何在满足用户带宽需求的前提下,通过优化服务器部署与带宽租赁方案,从而降低成本成为挑战。提出基于模拟退火与网络单纯... 详细信息

当用户观看视频时,影响其体验的关键在于带宽,然而视频内容服务器的硬件成本与链路带宽租赁费用相对昂贵。因此,如何在满足用户带宽需求的前提下,通过优化服务器部署与带宽租赁方案,从而降低成本成为挑战。提出基于模拟退火与网络单纯形法的优化算法。该算法根据网络结构、链路带宽与租赁费用、服务器的硬件成本与部署成本和用户带宽需求大小,通过模拟退火来迭代优化服务器部署方案,使用网络单纯形法求解部署方案的总成本,通过快速迭代计算出较优方案。仿真结果表明,模拟退火-网络单纯形方案与贪心-Dinic算法相比,能够减少10%以上的总成本,且随着数据规模的扩大,优势更加明显。

关键词：设施选址模拟退火网络单纯形内容网络

SEHive:基于类型增强的Hive强制访问控制模型与实现

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计算机应用与软件 2022年第7期39卷 281-286,294页

作者：汤定一韩伟力复旦大学软件学院上海200433

在借鉴SELinux模型的基础上,提出面向Hive的基于类型增强的强制访问控制模型TE-MAC。该模型将主体与域关联,客体与类型关联,根据域与类型之间的访问规则控制访问,最大限度地减小用户可访问资源的范围,实现最小特权原则。同时引入组层次... 详细信息

在借鉴SELinux模型的基础上,提出面向Hive的基于类型增强的强制访问控制模型TE-MAC。该模型将主体与域关联,客体与类型关联,根据域与类型之间的访问规则控制访问,最大限度地减小用户可访问资源的范围,实现最小特权原则。同时引入组层次关系,便于结构化的权限管理。基于原型系统SEHive的实现,显示其对Hive中敏感数据强制访问控制的可行性。

关键词：大数据 Hadoop Hive 类型增强强制访问控制

Cotton ethylene response factor Gh ERF91 is involved in the defense against Verticillium dahliae

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Journal of Integrative Agriculture 2024年第10期23卷 3328-3342页

作者： Nurimanguli Aini Yuanlong Wu Zhenyuan Pan Yizan Ma Qiushuang An Guangling Shui Panxia Shao dingyi Yang Hairong Lin Binghui tang Xin Wei Chunyuan You Longfu Zhu Dawei Zhang Zhongxu Lin Xinhui Nie Key Laboratory of Oasis Eco-agriculture Xinjiang Production and Construction Group/Agricultural CollegeShihezi UniversityShihezi 832003China National Key Laboratory of Crop Genetic Improvement/College of Plant Sciences&Technology Huazhong AgriculturalUniversityWuhan 430070China Cotton Research Institute Shihezi Academy of Agricultural ScienceShihezi 832011China Institute of Economic Crops Xinjiang Academy of Agricultural SciencesUrumqi 830091China

Verticillium dahliae causes significant losses in cotton *** reveal the mechanism of the defense response to *** in cotton,transcriptomic analyses were performed using cotton cultivars M138(***-resistant)and P2(***-susceptible).The results revealed 11,076 and 6,640 differentially expressed genes(DEGs)in response to ***,*** weighted gene co-expression network analysis of 4,633 transcription factors(TFs)indicated a“MEblue”module containing 654 TFs that strongly correlate with resistance to *** these TFs,the ethylene response factor Ghi_A05G10166(GhERF91)was identified as a putative hub gene with a defense response against ***.A virus-induced gene silencing assay and exogenous application of ethephon showed that GhERF91 is activated by ethylene and positively regulates the response to *** exposure in *** study provides fundamental transcriptome data and a putative causal gene(GhERF91)associated with resistance to ***,as well as genetic resources for breeding ***-resistant cotton.

关键词： cotton Verticillium wilt RNA-sequencing GhERF91 virus-induced gene silencing

Topologically protected entanglement switching around exceptional points

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Light(Science & Applications) 2024年第8期13卷 1631-1644页

作者： Zan tang Tian Chen Xing tang Xiangdong Zhang Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education Beijing Key Laboratory of Nanophotonics&Ultrafine Optoelectronic SystemsSchool of PhysicsBeijing Institute of Technology100081 BeijingChina

The robust operation of quantum entanglement states is crucial for applications in quantum information,computing,and communications^(1–3).However,it has always been a great challenge to complete such a task because of decoherence and ***,we propose theoretically and demonstrate experimentally an effective scheme to realize robust operation of quantum entanglement states by designing quadruple degeneracy exceptional *** encircling the exceptional points on two overlapping Riemann energy surfaces,we have realized a chiral switch for entangled states with high *** to the topological protection conferred by the Riemann surface structure,this switching of chirality exhibits strong robustness against perturbations in the encircling ***,we have experimentally validated such a scheme on a quantum walk *** work opens up a new way for the application of non-Hermitian physics in the field of quantum information.

关键词： exceptional quantum Riemann

An economic way to achieve all-weather CO2 reduction

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National Science Review 2024年第3期11卷 46-47页

作者： Junwang tang Department of Chemical Engineering University College London

Utilising solar power to convert carbon dioxide（CO2） into hydrocarbon fuels presents an eco-friendly method to address dependence on fossil fuels and contribute to a net-zero CO2emission goal[1,2].

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Highly effective design of high GFA alloys with different metalbased and various components by machine learning

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Science China(Technological Sciences) 2024年第5期67卷 1431-1442页

作者： tang YiChuan HE YiFan FAN ZhuoQun WANG ZhongQi tang ChengYing Guangxi Key Laboratory for Informational Materials School of Materials Science and EngineeringGuilin University of Electronic TechnologyGuilin541004China

The glass-forming ability(GFA)is of great significance for the development of novel functional metal-based metallic *** this study,seven popular machine learning(ML)algorithms were employed to design novel M-based(M=Fe,Co,Ni,Ti,Zr,and rare earth metal(RE))and X-component(X=2,3,4,5,6,and>6)alloys with excellent GFA.A GFA containing 6957 data points with structural analysis was *** engineering was used to analyze the importance and correlation of *** algorithms were utilized for GFA prediction,revealing that Xtreme Gradient Boosting Trees exhibited the strongest predictive capability,achieving a high accuracy of 94.0%,a true positive rate of 97.6%,and a root mean squared error of 0.3705 across the entire ***,the GFA of ternary to hexahydroxy alloys based on Fe,Co,Ni,Zr,Ti,and Y was predicted using all possible compositions generated through ***,a series of alloys with good GFA was successfully designed and *** present work suggests that the proposed ML method can be utilized to design novel multiple-M-based amorphous alloys with high GFA.

关键词： machine learning amorphous alloy feature engineering materials design glass forming ability

Nuclear charge radius predictions by kernel ridge regression with odd-even effects

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Nuclear Science and Techniques 2024年第2期35卷 94-102页

作者： Lu tang Zhen-Hua Zhang Mathematics and Physics Department North China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Physics and Energy Technology North China Electric Power UniversityBaoding 071000China

The extended kernel ridge regression(EKRR)method with odd-even effects was adopted to improve the description of the nuclear charge radius using five commonly used nuclear *** are:(i)the isospin-dependent A^(1∕3) formula,(ii)relativistic continuum Hartree-Bogoliubov(RCHB)theory,(iii)Hartree-Fock-Bogoliubov(HFB)model HFB25,(iv)the Weizsacker-Skyrme(WS)model WS*,and(v)HFB25**** the last two models,the charge radii were calculated using a five-parameter formula with the nuclear shell corrections and deformations obtained from the WS and HFB25 models,*** each model,the resultant root-mean-square deviation for the 1014 nuclei with proton number Z≥8 can be significantly reduced to 0.009-0.013 fm after considering the modification with the EKRR *** best among them was the RCHB model,with a root-mean-square deviation of 0.0092 *** extrapolation abilities of the KRR and EKRR methods for the neutron-rich region were examined,and it was found that after considering the odd-even effects,the extrapolation power was improved compared with that of the original KRR *** strong odd-even staggering of nuclear charge radii of Ca and Cu isotopes and the abrupt kinks across the neutron N=126 and 82 shell closures were also calculated and could be reproduced quite well by calculations using the EKRR method.

关键词： Nuclear charge radius Machine learning Kernel ridge regression method

UAV-assisted data collection for wireless sensor networks with dynamic working modes

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Digital Communications and Networks 2024年第3期10卷 805-812页

作者： Jie Chen Jianhua tang Shien-Ming Wu School of Intelligent Engineering South China University of TechnologyGuangzhou511442China

Wireless Sensor Network(WSN)is a cornerstone of Internet of Things(IoT)and has rich application *** this work,we consider a heterogeneous WSN whose sensor nodes have a diversity in their Residual Energy(RE).In this work,to protect the sensor nodes with low RE,we investigate dynamic working modes for sensor nodes which are determined by their RE and an introduced energy ***,we employ an Unmanned Aerial Vehicle(UAV)to collect the stored data from the heterogeneous *** aim to jointly optimize the cluster head selection,energy threshold and sensor nodes’working mode to minimize the weighted sum of energy con-sumption from the WSN and UAV,subject to the data collection rate *** this end,we propose an efficient search method to search for an optimal energy threshold,and develop a penalty-based successive convex approximation algorithm to select the cluster *** we present a low-complexity iterative approach to solve the joint optimization problem and discuss the implementation *** results justify that our proposed approach is able to reduce the energy consumption of the sensor nodes with low RE significantly and also saves energy for the whole WSN.

关键词： Unmanned aerial vehicle Wireless sensor networks Cluster heads Dynamic working modes