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Mott insulator-density ordered superfluid transition and‘shamrock transition’in a frustrated triangle lattice

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Communications in Theoretical Physics 2024年第3期76卷 157-164页

作者： ce Wang Yu Chen School of Physics Science and Engineering Tongji UniversityShanghai200092China Institute for Advanced Study Tsinghua UniversityBeijing100084China Graduate School of China Academy of Engineering Physics Beijing100193China

Density order is usually a consequence of the competition between long-range and short-range *** we report a density ordered superfluid emergent from a homogeneous Mott insulator due to the competition between frustrations and local *** transition is found in a Bose–Hubbard model on a frustrated triangle lattice with an extra pairing ***,we find a quantum phase transition between two different density ordered superfluids,which is beyond the Landau–Ginzburg(LG)paradigm.A U(1)symmetry is emergent at the critical point,while the symmetry in each density ordered superfluid is Z_(2)×Z_(3).We call the transition a‘shamrock transition’,due to its degenerate ground state in the parameter space being a shamrock-like curve rather than a circle in an LG-type *** low energy theories are established for the two transitions mentioned above and we find their resemblance and differences with clock models.

关键词： frustrated magnets superfluid mott insulator density wave ordered phase clock model

Viscoelastic inorganic glass as solid-state electrolyte for batteries

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journal of Materiomics 2024年第3期10卷 707-708页

作者： Yaoyu Ren ce-Wen Nan School of Materials Science and Engineering State Key Lab of New Ceramics and Fine ProcessingTsinghua UniversityBeijing100084China

A most recent exciting research result in the area of solid-state batteries that has been accepted for publication by the journal Nature Energy is *** research designed a new type of inorganic solid electrolyte named“viscoelastic inorganic glass(VIGLAS)”electrolyte with the compositions of LiAlCl_(2.5)O_(0.75)and NaAlCl_(2.5)O_(0.75).The newly developed solid electrolyte material showcases an excep-tional degree of deformability at room temperature,high ionic conductivity(>1 mS/cm at room tem-perature)and high oxidation stability(up to 4.3 V ***^(+)/Li or Na^(+)/Na).Using it as a catholyte enables a facile fabrication and a stable operation under practical stack pressure(ce all-solid-state batteries.

关键词： Viscoelastic Inorganic glass Solid electrolyte Lithium battery Sodium battery

Microstructure evolution and strengthening mechanism of high -performance powder metallurgy TA15 titanium alloy by hot rolling

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International journal of Minerals,Metallurgy and Materials 2024年第6期31卷 1426-1436页

作者： Ying Gao ce Zhang Jiazhen Zhang Xin Lu Beijing Advanced Innovation center for Materials Genome Engineering State Key Laboratory for Advanced Metals and MaterialsInstitute for Advanced Ma-terials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Engineering Research center for Advanced Rolling Technology National Engineering Research Center for Flat Rolling EquipmentInstitute of Engin-eering TechnologyUniversity of Science and Technology BeijingBeijing 100083China

Hot deformation of sintered billets by powder metallurgy(PM)is an effective preparation technique for titanium alloys,which is more significant for high-alloying *** this study,Ti–6.5Al–2Zr–Mo–V(TA15)titanium alloy plates were prepared by cold press-ing sintering combined with high-temperature hot *** microstructure and mechanical properties under different process paramet-ers were *** microscope,electron backscatter diffraction,and others were applied to characterize the microstructure evolution and mechanical properties strengthening *** results showed that the chemical compositions were uniformly dif-fused without segregation during sintering,and the closing of the matrix craters was accelerated by increasing the sintering *** block was hot rolled at 1200℃ with an 80%reduction under only two passes without *** strength and elongation of the plate at 20–25℃ after solution and aging were 1247 MPa and 14.0%,respectively,which were increased by 24.5%and 40.0%,respect-ively,compared with the as-sintered alloy at 1300℃.The microstructure was significantly refined by continuous dynamic recrystalliza-tion,which was completed by the rotation and dislocation absorption of the substructure surrounded by low-angle grain *** hot rolling combined with heat treatment,the strength and plasticity of PM-TA15 were significantly improved,which resulted from the dense,uniform,and fine recrystallization structure and the synergistic effect of multiple slip systems.

关键词： elemental powder powder metallurgy titanium alloy hot rolling strength and plasticity

Machine-Learning Based Packet Switching Method for Providing Stable High-Quality Video Streaming in Multi-Stream Transmission

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Computers, Materials & Continua 2024年第3期78卷 4153-4176页

作者： Yumin jo jongho Paik Major in Software Fusion Department of ComputerSeoulWomen’s UniversitySeoul01797South Korea Department of Software Convergence Seoul Women’s UniversitySeoul01797South Korea

Broadcasting gateway equipment generally uses a method of simply switching to a spare input stream when a failure occurs in a main input ***,when the transmission environment is unstable,problems such as reduction in the lifespan of equipment due to frequent switching and interruption,delay,and stoppage of services may ***,applying a machine learning(ML)method,which is possible to automatically judge and classify network-related service anomaly,and switch multi-input signals without dropping or changing signals by predicting or quickly determining the time of error occurrence for smooth stream switching when there are problems such as transmission errors,is *** this paper,we propose an intelligent packet switching method based on the ML method of classification,which is one of the supervised learning methods,that presents the risk level of abnormal multi-stream occurring in broadcasting gateway equipment based on ***,we subdivide the risk levels obtained from classification techniques into probabilities and then derive vectorized representative values for each attribute value of the collected input data and continuously update *** obtained reference vector value is used for switching judgment through the cosine similarity value between input data obtained when a dangerous situation *** the broadcasting gateway equipment to which the proposed method is applied,it is possible to perform more stable and smarter switching than before by solving problems of reliability and broadcasting accidents of the equipment and can maintain stable video streaming as well.

关键词： Broadcasting and communication convergence multi-stream packet switching advanced television systems committee standard 3.0(ATSC 3.0) data pre-processing machine learning cosine similarity

Risk-Averse Two-Stage Distributionally Robust Economic Dispatch Model Under Uncertain Renewable Energy

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CSEE journal of Power and Energy Systems 2024年第4期10卷 1514-1524页

作者： ce Yang Weiqing Sun Jiannan Yang Dong Han Department of Control Science and Engineering University of Shanghai for Science and TechnologyShanghai 200093China Department of Electrical Engineering University of Shanghai for Science and TechnologyShanghai 200093China School of Economics and Business Administration Chongqing UniversityChongqing 400044China

With the participation of large quantities of renewable energy in power system operations,their volatility and intermittence increases the difficulties and challenges of power system economic *** the uncertainty of renewable energy generation,based on the distributionally robust optimization method,a two-stage economic dispatch model is proposed to minimize the total operation *** this paper,it is assumed that the fluctuating of renewable power generation follows the unknown probability distribution that is restricted in an ambiguity set,which is established by utilizing the first-order moment information of available historical ***,the theory of conditional value-at-risk is introduced to transform the model into a tractable model,which we call robust counterpart *** on the stochastic dual dynamic programming method,an improved iterative algorithm is proposed to solve the robust counterpart ***,the convergence optimum can be obtained by the improved iterative algorithm,which performs a forward pass and backward pass repeatedly in each iterative ***,by comparing with other methods,the results on the modified IEEE 6-bus,118-bus,and 300-bus system show the effectiveness and advantages of the proposed model and method.

关键词： Energy and reserve co-dispatch distributionally robust conditional value-at-risk stochastic dual dynamic programming

Cloud control for IIoT in a cloud-edge environment

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journal of Systems Engineering and Electronics 2024年第4期35卷 1013-1027页

作者： YAN ce XIA Yuanqing YANG Hongjiu ZHAN Yufeng School of Automation Beijing Institute of TechnologyBeijing 100081China School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China

The industrial Internet of Things(IIoT)is a new indus-trial idea that combines the latest information and communica-tion technologies with the industrial *** this paper,a cloud control structure is designed for IIoT in cloud-edge envi-ronment with three modes of *** 5G based IIoT,the time sensitive network(TSN)service is introduced in transmission network.A 5G logical TSN bridge is designed to transport TSN streams over 5G framework to achieve end-to-end *** a transmission control protocol(TCP)model with nonlinear disturbance,time delay and uncertainties,a robust adaptive fuzzy sliding mode controller(AFSMC)is given with control rule *** workflows are made up of a series of subtasks that are linked by the dependencies between sensor datasets and task *** workflow scheduling is a non-deterministic polynomial(NP)-hard problem in cloud-edge *** adaptive and non-local-convergent particle swarm optimization(ANCPSO)is designed with nonlinear inertia weight to avoid falling into local optimum,which can reduce the makespan and cost *** and experiments demonstrate that ANCPSO has better performances than other classical algo-rithms.

关键词： 5G and time sensitive network(TSN) industrial Internet of Things(IIoT)workflow transmission control protocol(TCP)flows control cloud edge collaboration multi-objective optimal scheduling

Low rank optimization for efficient deep learning:making a balance between compact architecture and fast training

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journal of Systems Engineering and Electronics 2024年第3期35卷 509-531,F0002页

作者： OU Xinwei CHEN Zhangxin ZHU ce LIU Yipeng School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

Deep neural networks(DNNs)have achieved great success in many data processing ***,high computational complexity and storage cost make deep learning difficult to be used on resource-constrained devices,and it is not environmental-friendly with much power *** this paper,we focus on low-rank optimization for efficient deep learning *** the space domain,DNNs are compressed by low rank approximation of the network parameters,which directly reduces the storage requirement with a smaller number of network *** the time domain,the network parameters can be trained in a few subspaces,which enables efficient training for fast *** model compression in the spatial domain is summarized into three categories as pre-train,pre-set,and compression-aware methods,*** a series of integrable techniques discussed,such as sparse pruning,quantization,and entropy coding,we can ensemble them in an integration framework with lower computational complexity and *** addition to summary of recent technical advances,we have two findings for motivating future *** is that the effective rank,derived from the Shannon entropy of the normalized singular values,outperforms other conventional sparse measures such as the?_1 norm for network *** other is a spatial and temporal balance for tensorized neural *** accelerating the training of tensorized neural networks,it is crucial to leverage redundancy for both model compression and subspace training.

关键词： model compression subspace training effective rank low rank tensor optimization efficient deep learning

An integrated strategy of UPLC-Q-TOF/MS and HPTLC/PAD-DESI-MSI for the analysis of chemical variations:A case study of Tibetan medicine Tiebangchui

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journal of Pharmaceutical Analysis 2024年第4期14卷 615-618页

作者： Yue Liu Mengjia Li Xing Fu Yi Zhang ce Tang State Key Laboratory of Southwestern Chinese Medicine Resources School of Ethnic MedicineChengdu University of Traditional Chinese MedicineChengdu611137China Meishan Hospital of Chengdu University of Traditional Chinese Medicine MeishanSichuan620010China Innovative Institute of Chinese Medicine and Pharmacy Chengdu University of Traditional Chinese MedicineChengdu611137China

The dried roots of Aconitum pendulum Busch are the major source of a commonly used Tibetan medicine,namely Tiebangchui(TBC)(Fig.S1).However,raw TBC contains a large amount of high toxic diester-diterpenoid alkaloids(DDAs),and the improper use would cause arrhythmia,irreversible cardiovascular damages,and even death.“Paozhi”,an appropriate processing method,is the essential prerequisite for the safe clinical application of ***-decocting and sand-frying are commonly used processing methods for toxicity attenuation and efficacy preservation for TBC.

关键词： dried irreversible roots

Preparation of a novel lactose-lignin hydrogel catalyst with self-reduction capacity for nitrogenous wastewater treatment

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Frontiers of Chemical Science and Engineering 2024年第9期18卷 25-36页

作者： Fan Zhang Yanzhu Guo Xianhong Wu ce Gao Qingda An Zhongjian Tian Runcang Sun Key Laboratory of Pulp and Paper Science&Technology of Ministry of Education Qilu University of TechnologyShandong Academy of SciencesJinan 250353China The Liaoning Province Key Laboratory of Paper and Pulp Engineering The Dalian Key Laboratory of High Value Application and Development of Botanical ResourcesThe Key Laboratory of High Value Utilization of Botanical Resources of China Light IndustryDalian Polytechnic UniversityDalian 116034China

A novel carboxylated lactose/sodium lignosulfonate/polyacrylic acid hydrogel composites with self-reduction capacity was successfully synthesized by self-assembly *** hydrogel with well-developed porous structure provided abundant anchoring points and reduction capacity for transforming Ag^(+)into silver *** nanoparticles dispersed among the network of hydrogel and the composites exhibited catalytic *** catalytic performance was evaluated via degradation of p-nitrophenol,rhodamine B,methyl orange and methylene blue,which were catalyzed with corresponding reaction rate constants of 0.04338,0.07499,0.04891,and 0.00628 s^(–1),*** addition,the catalyst exhibited stable performance under fixed-bed condition and the corresponding conversion rate still maintained more than 80%after 540 ***,the catalytic performance still maintained effective in tap water and simulated *** catalytic efficiency still remained 99.7%with no significant decrease after 8 cycles.

关键词： carboxylated lactose Ag NPs self-reduction nitrogenous wastewater