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Some Results on Noetherian Warfield Domains

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Algebra Colloquium 2022年第1期29卷 67-78页

作者： kui hu Jung Wook Lim Dechuan Zhou College of Science Southwest University of Science and Technology MianyangSichuan 621010China Kyungpook National University Daegu 41566Korea Department of Mathematics College of Natural Sciences Kyungpook National UniversityDaegu 41566Korea

Let R be a *** this paper,we show that if R is one dimensional,then R is a Noetherian Warfield domain if and only if every maximal ideal of R is 2-generated and for every maximal ideal M of R,M is divisorial in the ring(M:M).We also prove that a Noetherian domain R is a Noetherian Warfield domain if and only if for every maximal ideal M of R,M^(2) can be generated by two ***,we give a sufficient condition under which all ideals of R are strongly Gorenstein projective.

关键词： strongly Gorenstein projective module Noetherian Warfield domain strongly Gorenstein Dedekind domain

Approximate Analytical Solution of the Generalized Kolmogorov-Petrovsky-Piskunov Equation with Cubic Nonlinearity

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Acta Mathematicae Applicatae Sinica 2023年第2期39卷 424-449页

作者： Wei-guo ZHANG Xie-kui hu Xing-qian LING Wen-xia LI College of Science University of Shanghai for Science and TechnologyShanghai 200093China

In this paper,the approximate analytical oscillatory solutions to the generalized KolmogorovPetrovsky-Piskunov equation(gKPPE for short)are discussed by employing the theory of dynamical system and hypothesis undetermined *** to the corresponding dynamical system of the bounded traveling wave solutions to the gKPPE,the number and qualitative properties of these bounded solutions are ***,pulses(bell-shaped)and waves fronts(kink-shaped)of the gKPPE are *** particular,two types of approximate analytical oscillatory solutions are ***,the error estimations between the approximate analytical oscillatory solutions and the exact solutions of the gKPPE are obtained by the homogeneity ***,the approximate analytical oscillatory solutions are compared with the numerical solutions,which shows the two types of solutions are similar.

关键词： reaction-diffusion equation approximate analytical solution error estimation dynamical system approach

Performance of the CENDL-3.2 and other major neutron data libraries for criticality calculations

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Nuclear Science and Techniques 2022年第1期33卷 81-97页

作者： Bin Zhang Xu-Bo Ma kui hu Teng Zhang Xuan Ma Yi-Xue Chen School of Nuclear Science and Engineering North China Electric Power UniversityBeijing 102206China

Nuclear data are the cornerstones of reactor physics and shielding ***,China released CENDL-3.2 in 2020,and the US released ENDF/B-VIII.0 in ***,it is necessary to comprehensively evaluate the criticality computing performance of these newly released evaluated nuclear *** this study,we used the NJOY2016 code to generate ACE format libraries based on the latest neutron data libraries(including CENDL-3.2,JEFF3.3,ENDF/B-VIII.0,and JENDL4.0).The MCNP code was used to conduct a detailed analysis of fission nuclides,including^(235)U,^(233)U,and^(239)Pu,in different evaluated nuclear data libraries based on 100 *** criticality calculation performance of each library was evaluated using three statistical parameters:δk/σ,χ^(2),and.Analysis of theδk/σparameter showed that CENDL-3.1 and JENDL-4.0 both had>10 benchmarks that exceeded 3r,whereas CENDL3.2,ENDFB-VIII.0,and JEFF-3.3 had,7,5,and 4 benchmarks,respectively,exceeding *** ENDF/B-VII.1 library performed best,with only two benchmarks exceeding *** to CENDL-3.1,CENDL-3.2 offers an improvement in criticality *** to the JEFF-3.3 and ENDF/B-VIII.0 libraries,CENDL3.2 performs better in the calculation of the^(233)U assemblies,but it performs poorly in the pusl11 series case calculation of the^(239)Pu assemblies,and thus further improvement is needed.

关键词： Criticality calculations CENDL-3.2 ENDF/B-VIII.0 Neutron ACE library

A gas sensing neural circuit for an olfactory neuron

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Communications in Theoretical Physics 2024年第10期76卷 24-38页

作者： Xi-kui hu Song Zhu Juan Yang Zhao Yao Ping Zhou Jun Ma School of Science Chongqing University of Posts and TelecommunicationsChongqing 400065China School of Physics and Electronics Central South UniversityChangsha 410083China Department of Physics Lanzhou University of TechnologyLanzhou 730050China

A gas sensor can convert external gas concentration or species into electric voltage or current signals by physical adsorption or chemical changes. As a result, a gas sensor in a nonlinear circuit can be used as a sensitive sensor for detecting external gas signals from the olfactory system. In this paper, a gas sensor and a field-effect transistor are incorporated into a simple Fithzhugh–Nagumo neural circuit for capturing and encoding external gas signals. An improved functional neural circuit is obtained, and the effect of gas concentration, gas species and neuronal activity can be discerned as the gate voltage, threshold voltage and activation coefficient of the field-effect transistor, respectively. The gas concentration can affect the neural activities from quiescent to normal working and, finally, to saturation state in bursting, spiking, periodic and chaotic firings with different frequencies. The effects of gas species and neuronal activity on the firing state can also be achieved in this functional neural circuit. In addition, variations in the gate voltage, threshold voltage and activation coefficient can cause switching between different firing modes. These results can be helpful in designing artificial olfactory devices for bionic gas recognition and other coupled systems arising in applied sciences.

关键词： olfactory neural circuit bifurcation gas sensor field-effect transistor

Ensemble Recurrent Neural Network-Based Residual Useful Life Prognostics of Aircraft Engines

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Structural Durability & Health Monitoring 2019年第3期13卷 317-329页

作者： Jun Wu kui hu Yiwei Cheng Ji Wang Chao Deng Yuanhan Wang School of Naval Architecture and Ocean Engineering Huazhong University of Science and TechnologyWuhan430074China School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan430074China China Electronic Product Reliability and Environmental Testing Research Institute Guangzhou510610China

Residual useful life(RUL)prediction is a key issue for improving efficiency of aircraft engines and reducing their maintenance *** to various failure mechanism and operating environment,the application of classical models in RUL prediction of aircraft engines is fairly *** this study,a novel RUL prognostics method based on using ensemble recurrent neural network to process massive sensor data is *** of all,sensor data obtained from the aircraft engines are preprocessed to eliminate singular values,reduce random fluctuation and preserve degradation trend of the raw sensor ***,three kinds of recurrent neural networks(RNN),including ordinary RNN,long shortterm memory(LSTM),and gated recurrent unit(GRU),are individually ***,ensemble learning mechanism is designed to merge the above RNNs for producing a more accurate RUL *** effectiveness of the proposed method is validated using two characteristically different turbofan engine *** results show a competitive performance of the proposed method in comparison with typical methods reported in literatures.

关键词： Aircraft engines residual useful life prediction health monitoring neural networks ensemble learning

Generalized PP and Zip Subrings of Matrix Rings

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Communications in Mathematical Research 2010年第3期26卷 193-202页

作者： LIU ZHONG-kui QIAO hu-SHENG Department of Mathematics Northwest Normal University Lanzhou 730070

Let R be an abelian ring. We consider a special subring An, relative to α2,…, αn∈ REnd（R）, of the matrix ring Mn（R） over a ring R. It is shown that the ring An is a generalized right PP-ring （right zip ring） if and only if the ring R is a generalized right PP-ring （right zip ring）. Our results yield more examples of generalized right PP-rings and right ziu rings.

关键词： generalized right pporing PP-ring right zip ring

Three-dimensional inversion analysis of an in situ stress field based on a two-stage optimization algorithm

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2016年第10期17卷 782-802页

作者： She-rong ZHANG An-kui hu Chao WANG State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin University Tianjin 300072 China School of Civil Engineering Tianjin Univerxity Tianjin 300072 China

Establishing an accurate in situ stress field is important for analyzing the rock-mass stability of the undergroundcavern at the huangdeng hydropower station in China. Because of the complexity and importance of the in situ stress field, ex-isting back analysis methods do not provide the necessary accuracy or sufficiently recognize nonlinear relations between thedistribution of the in situ stress field and its formative factors. Those factors are related to the geological structures of high com-pressive tectonic stress regimes, including geological faults and tuff interlayers. The new two-stage optimization algorithm pro-posed in this paper is a combination of stepwise regression （SR）, difference evolution （DE）, support vector machine （SVM）, andnumerical analysis techniques. Stepwise regression is used to find the set of unknown parameters that best match the modelingprediction and determine the range of parameters to be recognized. Difference evolution is used to determine the optimum pa-rameters of the SVM. The SVM is used to create the DE-SVM nonlinear reflection model to obtain the optimal values of theparameters from measured stress data. We compare the new two-stage optimization algorithm to other two popular methods, amultiple linear regression （MLR） analysis method and an artificial neural network （ANN） method, to estimate the in situ stressfield for the actual underground cavern at the huangdeng hydropower station. The two-stage optimization algorithm produces amore realistic estimate of the stress distribution within the investigated area. Thus, this technique may have practical applica-tions in realistic scenarios requiring efficient and accurate estimations of the in situ stress in a rock-mass.

关键词： In situ stress, Stepwise regression (SR), Difference evolution (DE), Support vector machine (SVM), Finite element,huangdeng underground cavern

Safer solid-state lithium metal batteries:Mechanisms and strategies

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InfoMat 2024年第2期6卷 1-27页

作者： Shi-Jie Yang Jiang-kui hu Feng-Ni Jiang Hong Yuan Ho Seok Park Jia-Qi huang School of Materials Science&Engineering Beijing Institute of TechnologyBeijingthe People's Republic of China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijingthe People's Republic of China College of Chemical Engineering and Technology Taiyuan University of TechnologyTaiyuanShanxithe People's Republic of China Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijingthe People's Republic of China Center for Next-Generation Energy Materials and School of Chemical Engineering Sungkyunkwan UniversitySuwonRepublic of Korea

Solid-state batteries that employ solid-state electrolytes(SSEs)to replace routine liquid electrolytes are considered to be one of the most promising solutions for achieving high-safety lithium metal *** with high mechanical modulus,thermal stability,and non-flammability can not only inhibit the growth of lithium dendrites but also enhance the safety of lithium metal ***,several internal materials/electrodes-related thermal hazards demonstrated by recent works show that solid-state lithium metal batteries(SSLMBs)are not ***,understanding the potential thermal hazards of SSLMBs is critical for their more secure and widespread *** this contribution,we provide a comprehensive overview of the thermal failure mechanism of SSLMBs from materials to ***,strategies to improve the thermal safety performance of SSLMBs are included from the view of material enhancement,battery design,and external ***,the future directions are further *** hope that this work can shed bright insights into the path of constructing energy storage devices with high energy density and safety.

关键词： lithium metal batteries safety improvements solid-state batteries thermal failures thermal runaway

Multiscale understanding of high-energy cathodes in solid-state batteries: from atomic scale to macroscopic scale

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Materials Futures 2022年第1期1卷 32-51页

作者： Shuo Sun Chen-Zi Zhao Hong Yuan Yang Lu Jiang-kui hu Jia-Qi huang Qiang Zhang Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084People’s Republic of China Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing 100081People’s Republic of China State Key Laboratory of Automotive Safety and Energy School of Vehicle and MobilityTsinghua UniversityBeijing 100084People’s Republic of China

In the crucial area of sustainable energy storage,solid-state batteries(SSBs)with nonflammable solid electrolytes stand out due to their potential benefits of enhanced safety,energy density,and cycle ***,the complexity within the composite cathode determines that fabricating an ideal electrode needs to link chemistry(atomic scale),materials(microscopic/mesoscopic scale),and electrode system(macroscopic scale).Therefore,understanding solid-state composite cathodes covering multiple scales is of vital importance for the development of practical *** this review,the challenges and basic knowledge of composite cathodes from the atomic scale to the macroscopic scale in SSBs are outlined with a special focus on the interfacial structure,charge transport,and mechanical *** on these dilemmas,emerging strategies to design a high-performance composite cathode and advanced characterization techniques are ***,future perspectives toward composite cathodes are discussed,aiming to facilitate the develop energy-dense SSBs.

关键词： high-energy cathode solid-state battery charge transport advanced characterization solid electrolyte