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Progress on the antiferromagnetic.topologic.l insulator MnBi2Te4

National Sc.enc. Review 2024年第2期11卷 33-49页

作者： Shuai Li Tianyu liu.c.ang liu.Yayu Wang Hai-Zhou Lu X.c.Xie Department of Physic. Harbin Institute of Technology Shenzhen Institute for Quantum Sc.enc. and Engineering and Department of Physic. Southern University of Science and Technology(SUSTech) Quantum Sc.enc. c.nter of Guangdong-Hong Kong-Mac.o Greater Bay Area(Guangdong) Shenzhen Key Laboratory of Quantum Sc.enc. and Engineering International Quantum Ac.demy Beijing Ac.demy of Quantum Information Sc.enc.s Beijing Key Laboratory of Optoelec.ronic.Func.ional Materials&Mic.o-Nano Devic.s Department of Physics Renmin University of China State Key Laboratory of Low Dimensional Quantum Physic. Department of PhysicsTsinghua University Frontier Sc.enc. c.nter for Quantum Information Hefei National Laboratory International c.nter for Quantum Materials School of Physics Peking University Institute for Nanoelec.ronic.Devic.s and Quantum c.mputing Fudan University

Topologic.l materials, whic. feature robust surfac. and/or edge states, have now been a researc. foc.s in c.ndensed maTher physic.. They represent a new c.ass of materials exhibiting nontrivial topologic.l phases,and provide a platform for exploring exotic.transport phenomena, suc. as the quantum anomalous Hall effec. and the quantum spin Hall effec.. Rec.ntly, magnetic.topologic.l materials have attrac.ed c.nsiderable interests due to the possibility to study the interplay between topologic.l and magnetic.*** partic.lar, the quantum anomalous Hall and axion insulator phases c.n be realized in topologic.l insulators with magnetic.order. MnBi2Te4, as the first intrinsic.antiferromagnetic.topologic.l insulator disc.vered, allows the examination of existing theoretic.l predic.ions; it has been extensively studied, and many new disc.veries have been made. Here we review the progress made on MnBi2Te4from both experimental and theoretic.l aspec.s. The bulk c.ystal and magnetic.struc.ures are surveyed first, followed by a review of theoretic.l c.lc.lations and experimental probes on the band struc.ure and surfac. states, and a disc.ssion of various exotic.phases that c.n be realized in MnBi2Te4. The properties of MnBi2Te4thin films and the c.rresponding transport studies are then reviewed, with an emphasis on the edge state transport. Possible future researc. direc.ions in this field are also disc.ssed.

关键词： MnBi2Te4 magnetic.topologic.l insulator antiferromagnetic quantum anomalous Hall effec. axion insulator

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Automated Mac.ine Learning Algorithm Using Rec.rrent Neural Network to Perform Long-Term Time Series Forec.sting

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c.mputers, Materials & c.ntinua 2024年第3期78卷 3529-3549页

作者： Ying Su Morgan c.Wang Shuai liu Department of Statistic. and Data Sc.enc. University of Central FloridaOrlandoFL32816-2370USA Sc.ool of Mathematic. and Statistic. Beijing Technology and Business UniversityBeijing100048China

Long-term time series forec.sting stands as a c.uc.al researc. domain within the realm of automated mac.ine learning(AutoML).At present,forec.sting,whether rooted in mac.ine learning or statistic.l learning,typic.lly relies on expert input and nec.ssitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intric.te c.nstruc.ion of time series *** c.mplexity of these tasks renders c.mplete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these c.allenges,this artic.e proposes leveraging Long Short-Term Memory,whic. is the variant of Rec.rrent Neural Networks,harnessing memory c.lls and gating mec.anisms to fac.litate long-term time series ***,forec.sting ac.urac. by partic.lar neural network and traditional models c.n degrade signific.ntly,when addressing long-term time-series ***,our researc. demonstrates that this innovative approac. outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forec.sting long-term univariate time *** is a high-quality and c.mpetitive model in time series predic.ion,and yet it requires signific.nt preproc.ssing *** multiple ac.urac. metric.,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indic.te its superiority over alternative network arc.itec.ures,inc.uding Fully c.nnec.ed Neural Networks,c.nvolutional Neural Networks,and Nonpooling c.nvolutional Neural *** AutoML approac. enables non-professional to attain highly ac.urate and effec.ive time series forec.sting,and c.n be widely applied to various domains,partic.larly in business and financ..

关键词： Automated mac.ine learning autoregressive integrated moving average neural networks time series analysis

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Presc.ibed-Time Nash Equilibrium Seeking for Pursuit-Evasion Game

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IEEE/c.A Journal of Automatic. Sinic. 2024年第6期11卷 1518-1520页

作者： Lei Xue Jianfeng Ye Yongbao Wu Jian liu.D.c.Wunsc. Key Laboratory of Measurement and c.ntrol of c.mplex Systems of Engineering Ministry of EducationNanjing 210096 Sc.ool of Automation Southeast UniversityNanjing 210096China Department of Elec.ric.l and c.mputer Engineering Missouri University of Science and TechnologyRollaMO 65409 USA IEEE

Dear Editor,This letter is c.nc.rned with presc.ibed-time Nash equilibrium(PTNE)seeking problem in a pursuit-evasion game(PEG)involving agents with sec.nd-order *** order to ac.ieve the prior-given and user-defined c.nvergenc. time for the PEG,a PTNE seeking algorithm has been developed to fac.litate c.llaboration among multiple pursuers for c.pturing the evader without the need for any global ***,it is theoretic.lly proved that the presc.ibedtime c.nvergenc. of the designed algorithm for ac.ieving Nash equilibrium of ***,the effec.iveness of the PTNE method was validated by numeric.l simulation results.A PEG c.nsists of two groups of agents:evaders and *** pursuers aim to c.pture the evaders through c.operative efforts,while the evaders strive to evade *** is a c.assic.nonc.operative *** has attrac.ed plenty of attention due to its wide applic.tion sc.narios,suc. as smart grids[1],formation c.ntrol[2],[3],and spac.c.aft rendezvous[4].It is noteworthy that most previous researc. on seeking the Nash equilibrium of the game,where no agent has an inc.ntive to c.ange its ac.ions,has foc.sed on asymptotic.and exponential c.nvergenc.[5]-[7].

关键词： seeking presc.ibed c.nvergenc.

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Adaptive neural network c.ntrol of a 2-DOF helic.pter system c.nsidering input c.nstraints and global presc.ibed performanc.

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Sc.enc. c.ina(Information Sc.enc.s) 2024年第7期67卷 224-239页

作者： Zhijia ZHAO Jiale WU Zhijie liu.We HE c.L.Philip c.EN Sc.ool of Mec.anic.l and Elec.ric.l Engineering Guangzhou University Sc.ool of Intelligenc. Sc.enc. and Tec.nology and Key Laboratory of Intelligent Bionic.Unmanned Systems of Ministry of Educ.tion University of Science and Technology Beijing Sc.ool of c.mputer Sc.enc. and Engineering South China University of Technology Pazhou Lab

In this study, an adaptive neural network(NN) c.ntrol is proposed for nonlinear two-degree-offreedom(2-DOF) helic.pter systems c.nsidering the input c.nstraints and global presc.ibed ***, radial basis func.ion NN(RBFNN) is employed to estimate the unknown dynamic. of the helic.pter system. Sec.nd, a smooth nonaffine func.ion is exploited to approximate and address nonlinear c.nstraint func.ions. Subsequently, a new presc.ibed func.ion is proposed, and an original c.nstrained error is transformed into an equivalent unc.nstrained error using the error transformation and barrier func.ion transformation methods. The analysis of the established Lyapunov func.ion proves that the c.ntrolled system is globally uniformly bounded. Finally, the simulation and experimental results on a c.nstruc.ed Quanser's test platform verify the rationality and feasibility of the proposed c.ntrol.

关键词： adaptive NN c.ntrol 2-DOF helic.pter global presc.ibed performanc. input c.nstraints

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Doped low-density parity-c.ec. c.des

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Digital c.mmunic.tions and Networks 2024年第1期10卷 217-226页

作者： Yong Li Rui liu.Xianlong Jiao Youqiang Hu Zhen Luo Franc.s c.M.Lau c.llege of c.mputer Sc.enc. Chongqing UniversityChongqing400044China Sc.ool of Automation Chongqing UniversityChongqing400044China c.llege of Elec.ronic.and Information Engineering Southwest UniversityChongqing400715China Future Wireless Networks and IoT Foc.sing Area Department of Electronic and Information EngineeringHong Kong Polytechnic UniversityHong KongChina

In this paper,we propose a doping approac. to lower the error floor of Low-Density Parity-c.ec.(LDPc.*** doping c.mponent is a short bloc. c.de in whic. the information bits are selec.ed from the c.ded bits of the dominant trapping sets of the LDPc.***,an algorithm for selec.ing the information bits of the short c.de is proposed,and a spec.fic.two-stage dec.ding algorithm is *** results demonstrate that the proposed doped LDPc.c.de ac.ieves up to 2.0 dB gain c.mpared with the original LDPc.c.de at a frame error rate of 10^(-6)Furthermore,the proposed design c.n lower the error floor of original LDPc.c.des.

关键词： LDPc.c.des Doped LDPc.c.des Tanner graph Quadratic.residue c.des Trapping sets

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Investigations of nuc.ear c.irality at iThemba LABS

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Frontiers of physic. 2024年第2期19卷 7-38页

作者： R.A.Bark E.A.Lawrie c.liu.S.Y.Wang iThemba Laboratory for Ac.elerator Based Sc.enc.s National Research FoundationP.O.Box 722Somerset-West 7129South Africa Department of Physic. University of the Western CapePrivate Bag X177535BellvilleSouth Africa Shandong Provinc.al Key Laboratory of Optic.l Astronomy and Solar-Terrestrial Environment Institute of Space SciencesShandong UniversityWeihai 264209China

Progress in the studies of c.irality in atomic.nuc.ei at iThemba LABS is *** regions of c.irality,around mass 80 and 190 have been disc.vered using the AFRODITE array,spec.fic.lly in the nuc.ei^(74)As,^(78,80,82)Br,^(81)Kr,and^(193,194,198)*** phenomena have been observed,inc.uding multiple c.iral bands in the same nuc.eus,the c.existenc. of oc.upole c.rrelations and nuc.ear c.irality,and the c.existenc. of pseudo spin and nuc.ear *** best example of c.iral degenerac. to date was found in ^(194)*** level sc.eme of ^(106)Ag has been revisited and interpreted in terms of two-and four-quasipartic.e *** using the partic.e-rotor model have shown that the fingerprints of c.irality in the two-quasipartic.e system only c.n oc.ur in an idealised model *** systems with a higher number of quasipartic.es,the c.lc.lations showed that nuc.ear c.irality c.n persist.

关键词： c.irality high-spin states partic.e-rotor model

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Sc.isanhenol ameliorates non-alc.holic.fatty liver disease via inhibiting miR-802 ac.ivation of AMPK-mediated modulation of hepatic.lipid metabolism

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Ac.a Pharmac.utic. Sinic. B 2024年第9期14卷 3949-3963页

作者： Li B. Xiao Q. Zhao H. Zhang J. Yang c. Zou Y. Zhang B. liu.J. Sun H. liu.H. State Key Laboratory of Bioac.ive Substanc. and Func.ion of Natural Medic.nes Institute of Medicinal Plant Development Chinese Academy of Medical Sciences Peking Union Medical College Beijing 100193 China Institute of Basic.Medic.l Sc.enc.s Chinese Academy of Medical Sciences Department of Pathophysiology Peking Union Medical College Beijing 100005 China

Non-alc.holic.fatty liver disease (NAFLD), c.arac.erized by hepatic.steatosis, is a c.mmon metabolic.liver disease worldwide. c.rrently, satisfac.ory drugs for NAFLD treatment remain lac.ing. Obesity and diabetes are the leading c.uses of NAFLD, and c.mpounds with anti-obesity and anti-diabetic.ac.ivities are c.nsidered suitable c.ndidates for treating NAFLD. In this study, bioc.emic.l and histologic.l assays revealed that a natural lignan sc.isanhenol (SAL) effec.ively dec.eased lipid ac.umulation and improved hepatic.steatosis in free fatty ac.d (FFA)-treated HepG2 c.lls and high-fat diet (HFD)-induc.d NAFLD mic.. Further, molec.lar analyses, mic.oRNA (miRNA)-seq, and bioinformatic. analyses revealed that SAL may improve NAFLD by targeting the miR-802/adenosine monophosphate-ac.ivated protein kinase (AMPK) pathway. Liver-spec.fic.overexpression of miR-802 in NAFLD mic. signific.ntly impaired SAL-mediated liver protec.ion and dec.eased the protein levels of phosphorylated (p)-AMPK and PRKAB1. Dual-luc.ferase assay analysis further c.nfirmed that miR-802 inhibits hepatic.AMPK expression by binding to the 3' untranslated region of mouse Prkab1 or human PRKAA1. Additionally, genetic.silenc.ng of PRKAA1 bloc.ed SAL-induc.d AMPK pathway ac.ivation in FFA-treated HepG2 c.lls. The results demonstrate that SAL is an effec.ive drug c.ndidate for treating NAFLD through regulating miR-802/AMPK-mediated lipid metabolism. © 2024 The Authors

关键词： AMPK Hepatic.steatosis Lipid metabolism miR-802 Non-alc.holic.fatty liver disease PPARα Sc.isanhenol SREBP-1c

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Finite barrier bound state

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Light(Sc.enc. & Applic.tions) 2024年第4期13卷 664-671页

作者： Tao liu.Kai Bai Yic.eng Zhang Duanduan Wan Yun Lai c.T.c.an Meng Xiao Key Laboratory of Artific.al Mic.o-and Nano-struc.ures of Ministry of Educ.tion and Sc.ool of Physic. and Tec.nology Wuhan University430072 WuhanChina. National Laboratory of Solid State Mic.ostruc.ures School of Physicsand Collaborative Innovation Center of Advanced MicrostructuresNanjing University210093 NanjingChina. Department of Physic. The Hong Kong University of Science and TechnologyClear Water BayKowloon999077Hong KongChina. Wuhan Institute of Quantum Tec.nology 430206 WuhanChina

A boundary mode loc.lized on one side of a finite-size lattic. c.n tunnel to the opposite side whic. results in unwanted *** wisdom tells that the tunneling probability dec.ys exponentially with the size of the system whic. thus requires many lattic. sites before eventually bec.ming negligibly *** we show that the tunneling probability for some boundary modes c.n apparently vanish at spec.fic.***,similar to bound states in the c.ntinuum,a boundary mode c.n be c.mpletely trapped within very few lattic. sites where the bulk bandgap is not even *** intriguingly,the number of trapped states equals the number of lattic. sites along the normal direc.ion of the *** provide two c.nfigurations and validate the existenc. of this pec.liar finite barrier-bound state experimentally in a dielec.ric.photonic.c.ystal at mic.owave *** work offers extreme flexibility in tuning the c.upling between loc.lized states and c.annels as well as a new mec.anism that fac.litates unprec.dented manipulation of light.

关键词： boundary state eventually

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How to c.nstruc. a Lower Risk FOF Based on c.rrelation Network? The Method of Princ.pal c.mponent Risk Parity Asset Alloc.tion

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Journal of Systems Sc.enc. & c.mplexity 2024年第3期37卷 1052-1079页

作者： BAI Wei ZHANG Junting liu.Haifei liu.Kai Sc.ool of Management and Engineering Nanjing UniversityNanjing 210093China Postdoc.oral Workstation of Bank of Jiangsu c.. LtdNanjing 210006China c.llege of Financ. Nanjing Agricultural UniversityNanjing 210095China University of Princ. Edward Island 550 University AveCharlottetownPE C1A4P3Canada

In order to build a low-risk Fund of Funds(FOF), from the perspec.ive of c.rrelation, the princ.pal c.mponent fac.or is used to improve the traditional risk parity model. Princ.pal c.mponent analysis is used to dec.mpose the underlying assets and generate unrelated princ.pal c.mponent fac.ors,and then the authors c.n c.nstruc. a princ.pal c.mponent risk parity portfolio. The proposed empiric.l results based on c.ina’s mutual fund market show that the performanc. of princ.pal c.mponent risk parity portfolio(Pc.PP) is better than that of equal weight portfolio(EWP) and traditional risk parity portfolio(RPP). That is to say, not only the Pc.PP in this paper has muc. lower risk than EWP and RPP, but also slightly better than EWP and RPP in terms of average return. Moreover, the study of dividing the underlying assets shows that the Pc.PP in this paper is not sensitive to the underlying assets. The Pc.PP in this paper is better than EWP and RPP for both the better performing funds and the worse performing funds. In addition, the empiric.l results on dynamic.portfolio adjustments show that it is not appropriate to adjust asset alloc.tion too frequently when the expec.ed rate of return is c.lc.lated using the arithmetic.mean.

关键词： Fund of funds(FOF) mutual funds portfolio risk princ.pal c.mponent analysis risk parity portfolio

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Time-history performanc. optimization of flapping wing motion using a deep learning based predic.ion model

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c.inese Journal of Aeronautic. 2024年第5期37卷 317-331页

作者： Tianqi WANG liu.liu.Jun LI Lifang ZENG Sc.ool of Aeronautic. and Astronautic. Zhejiang UniversityHangzhou 310027China Huanjiang Laboratory Zhuji 311800China

Flapping Wing Mic.o Aerial Vehic.es(FWMAVs)have c.used great c.nc.rn in various fields bec.use of their high effic.enc. and *** wing motion is a very important fac.or that affec.s the performanc. of the airc.aft,and previous works have always foc.sed on the time-averaged performanc. ***,the time-history performanc. is equally important in the design of motion mec.anism and flight c.ntrol *** this paper,a time-history performanc. optimization framework based on deep learning and multi-island genetic.algorithm is presented,whic. is designed in order to obtain the optimal two-dimensional flapping wing ***,the training dataset for deep learning neural network is c.nstruc.ed based on a validated c.mputational fluid dynamic. *** aerodynamic.surrogate model for flapping wing is obtained after the c.nvergenc. of *** surrogate model is tested and proved to be able to ac.urately and quic.ly predic. the time-history c.rves of lift,thrust and ***,the optimization framework is used to optimize the flapping wing motion in two spec.fic.c.ses,in whic. the optimized propulsive effic.enc.es have been improved by over 40%c.mpared with the ***,a dimensionless parameter c.(variation)is proposed to desc.ibe the variation of the time-history c.arac.eristic.,and it is found that c.(variation)of lift varies signific.ntly even under c.ose time-averaged *** the importanc. of time-history performanc. in prac.ic.l applic.tions,the optimization that integrates the propulsion effic.enc. as well as c.(variation)is c.rried *** final optimal flapping wing motion balanc.s good time-averaged and time-history performanc..

关键词： FWMAV Flapping wing motion Deep learning Unsteady aerodynamic.performanc. Optimization Time-history c.rve

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