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Chiral quantum heating and cooling with an optically controlled ion

Light(Science & Applications) 2024年第7期13卷 1393-1400页

作者： Jin-Tao Bu Jian-Qi Zhang Ge-Yi Ding Jia-Chong Li Jia-Wei Zhang Bin Wang Wen-Qiang Ding Wen-Fei Yuan Liang Chen Qi Zhong Ali Keçebaş Şahin KÖzdemir Fei Zhou Hui Jing Mang Feng State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Wuhan Institute of Physics and MathematicsInnovation Academy of Precision Measurement Science and TechnologyChinese Academy of Sciences430071 WuhanChina. University of the Chinese Academy of Sciences 100049 BeijingChina. Research Center for Quantum Precision Measurement Guangzhou Institute of Industry Technology511458 GuangzhouChina. Department of Engineering Science and Mechanics and Materials Research InstitutePennsylvania State UniversityUniversity ParkState CollegePA 16802USA. Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Department of Physics and Synergetic Innovation Center for Quantum Effects and ApplicationsHunan Normal University410081 ChangshaChina. Department of Physics Zhejiang Normal University321004 JinhuaChina

Quantum heat engines and refrigerators are open quantum systems,whose dynamics can be well understood using a non-Hermitian formalism.A prominent feature of non-Hermiticity is the existence of exceptional points(EPs),which has no counterpart in closed quantum *** has been shown in classical systems that dynamical encirclement in the vicinity of an EP,whether the loop includes the EP or not,could lead to chiral mode ***,we show that this is valid also for quantum systems when dynamical encircling is performed in the vicinity of their Liouvillian EPs(LEPs),which include the effects of quantum jumps and associated noise—an important quantum feature not present in previous *** demonstrate,using a Paul-trapped ultracold ion,the first chiral quantum heating and refrigeration by dynamically encircling a closed loop in the vicinity of an *** witness the cycling direction to be associated with the chirality and heat release(absorption)of the quantum heat engine(quantum refrigerator).Our experiments have revealed that not only the adiabaticity breakdown but also the Landau–Zener–Stückelberg process play an essential role during dynamic encircling,resulting in chiral thermodynamic *** observations contribute to further understanding of chiral and topological features in non-Hermitian systems and pave a way to exploring the relation between chirality and quantum thermodynamics.

关键词： quantum chiral dynamical

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Upcycling biomass waste into Fe single atom catalysts for pollutant control

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Journal of Energy Chemistry 2022年第6期31卷 282-291,I0008页

作者： Xin Li Kang Hu Yizhe Huang Qingqing Gu Yuwen Chen Bing Yang Rongliang Qiu Wenhao Luo Bert M.Weckhuysen Kai Yan Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology School of Environmental Science and EngineeringSun Yat-Sen UniversityGuangzhou 510275GuangdongChina CAS Key Laboratory of Science and Technology on Applied Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023LiaoningChina College of Natural Resources and Environment South China Agricultural UniversityGuangzhou 510275GuangdongChina Inorganic Chemistry and Catalysis Group Debye Institute for Nanomaterials ScienceUtrecht UniversityUtrecht 3584 CGNetherlands

Contaminants of heavy metals and antibiotics, which are frequently detected in water, soil and food chains with increasing prevalence in our current society, can cause potential harm to human health and disrupt human ecosystem irreversibly. Herein, we have successfully utilized biomass waste ferns contaminated by iron mines, to fabricate a first-of-its-kind high-performance class of Fe single-atom catalysts(FeSAC) by a facile pyrolysis. The optimal FeSAC-800 shows an excellent efficiency in the fastphotocatalytic degradation of six types of quinolone antibiotics(e.g., norfloxacin, levofloxacin, ciprofloxacin, enrofloxacin, lomefloxacin, flumequine) in 1 h under the simulated natural light irradiation. Based on advanced characterization, a well-defined structure of FeN_(4), confined in the porous carbon is elaborated for the FeSAC-800. Mechanism of the photodegradation is via a Fenton-like oxidation process whereas the reactive oxygen species play a key role. These findings open a new avenue for efficient, sustainable utilization of biomass waste in pollutant control.

关键词： Single-atom catalysts Photocatalysis Biomass waste Quinolone antibiotics Sustainability

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Research on Fault Diagnosis Method and Application of Gas Turbine Based on Acoustic Imaging technology

Research on Fault Diagnosis Method and Application of Gas Tu...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Yan, Wen Hu, Mingliang Wen, Fei Guo, Peipei Guo, Ziang AVIC Shanghai Aviation Measurement & Control Technology Research Institute Shanghai201601 China Xi'an Aeronautics Computing Technique Research Institute AVIC Xi'an710068 China Department of Electronics College of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of Aviation Technology for Fault Diagnosis and Health Management Technology Shanghai201601 China

Gas turbine health management is of great significant for enhancing flight safety and reducing maintenance costs. Based on the architecture of gas turbine fault identification system, a multi-arm spiral microphone array with high positioning accuracy, high beam resolution, and strong anti-interference capability is designed in this paper with simulation and experiment. On this basis, by utilizing multi-channel acoustic digital acquisition and analysis equipment, high-precision, wide dynamic range, and high-real-time acquisition of audio data from the combustion chamber of gas turbines are achieved. An audio data analysis strategy based on feature extraction and an autoencoder network construction strategy are proposed, fulfilling the imaging of audio data from the combustion chamber of gas turbines, which can effectively identify gas turbine faults. Experiments conducted on the platform of the multi-arm spiral microphone array indecates that the proposed fault detection strategy has an accuracy rate of over 98%. This is of great theoretical significance and practical value for enhancing the level of gas turbine fault detection, and improving the performance, reliability, and lifespan of gas turbine systems. © The Institution of engineering & technology 2024.

关键词： Combustion chambers

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Effective Finite Time Stability control for Human-Machine Shared Vehicle Following System

arXiv

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arXiv 2024年

作者： Wang, Zihan Li, Mengran Zhang, Ronghui Zhao, Jing Hu, Chuan Ma, Xiaolei Qiu, Zhijun Guangdong Key Laboratory of Intelligent Transportation System School of Intelligent Systems Engineering Sun Yat-sen University Guangzhou510275 China Automotive Engineering Lab Department of Electromechanical Engineering University of Macau China School of Mechanical Engineering Shanghai Jiao Tong University 800 Dongchuan Road Shanghai200240 China Key Laboratory of Intelligent Transportation Technology and System School of Transportation Science and Engineering Beihang University Beijing100191 China Department of Civil and Environmental Engineering University of Alberta EdmontonAB Canada

With the development of intelligent connected vehicle technology, human-machine shared control has gained popularity in vehicle following due to its effectiveness in driver assistance. However, traditional vehicle following systems struggle to maintain stability when driver reaction time fluctuates, as these variations require different levels of system intervention. To address this issue, the proposed human-machine shared vehicle following assistance system (HM-VFAS) integrates driver outputs under various states with the assistance system. The system employs an intelligent driver model that accounts for reaction time delays, simulating time-varying driver outputs. A control authority allocation strategy is designed to dynamically adjust the level of intervention based on real-time driver state assessment. To handle instability from driver authority switching, the proposed solution includes a two-layer adaptive finite time sliding mode controller (A-FTSMC). The first layer is an integral sliding mode adaptive controller that ensures robustness by compensating for uncertainties in the driver output. The second layer is a fast non-singular terminal sliding mode controller designed to accelerate convergence for rapid stabilization. Using real driver videos as inputs, the performance of the HM-VFAS was evaluated. Results show that the proposed control strategy maintains a safe distance under time-varying driver states, with the actual acceleration error relative to the target acceleration maintained within ±0.5 m/s2 and the maximum acceleration error reduced by 1.2 m/s2. Compared to traditional controllers, the A-FTSMC controller offers faster convergence and less vibration, reducing the stabilization time by 27.3% . Copyright © 2024, The Authors. All rights reserved.

关键词： Adaptive control systems

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Production Costs and Total Completion Time Minimization for Three-Stage Mixed-Model Assembly Job Shop Scheduling with Lot Streaming and Batch Transfer

SSRN

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SSRN 2023年

作者： Cheng, Lixin Tang, Qiuhua Zhang, Liping Zhang, Zikai Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology China

Assembly scheduling problems have broad applications in discrete manufacturing enterprises and hence gained extensive attention in academics. However, some important and actual factors including lot streaming, transfer of components and mixed-model assembly, are yet not well studied. To adapt to actual production and enhance competitiveness, a three-stage mixed-model assembly job shop scheduling with lot streaming and batch transfer is investigated in this work. To tackle this problem, spatial-temporal links among three stages with differentiated production lot size are established and a novel mathematical model is formulated to minimize total completion time and production costs including setup costs, transport costs and inventory costs. Besides, an improved multi-objective coevolutionary simulated annealing algorithm is developed. To promote the coevolution of processing, transfer and assembly sub-problems, the multi-attribute combination rule, similarity rule and consistency rule are respectively designed for each sub-problem. An adaptive execution strategy of sub-problems is trained by Q-learning to maximize the overall benefits. Experimental results show that both the discovered rule and the adaptive strategy are effective, and the proposed algorithm significantly outperforms five competitive multi-objective algorithms in fixing the studied problem. More importantly, the developed production mode of "processing with lot streaming-batch transfer-mixed-model assembly considering pull production" has a better comprehensive performance than the other three actual production modes. © 2023, The Authors. All rights reserved.

关键词： Simulated annealing

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Multimode DALSTM model for anomaly detection of nuclear reactor core

Multimode DALSTM model for anomaly detection of nuclear reac...

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Industrial Cyber-Physical Systems (ICPS)

作者： Yingnan Wang Xin Wang Yinglong Wang Xianmin Li Chunhui Zhao Zhihong Lv State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou China State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment China Nuclear Power Engineering Co. LTD Shenzhen China

The nuclear reactor core is a life-critical system, whose reliable operation ensures the safety of a nuclear power plant. The reactor core temperature is a direct representation of the reactor core state. Therefore, the detection and analysis of core temperature anomalies is of great importance. However, multiple temperature variables are nonlinear and complexly coupled, showing different distribution characteristics with the variations of operating condition. For this reason, a multi-mode anomaly monitoring strategy for core temperature in nuclear power plant is proposed. To realize the nonlinear feature extraction of multiple temperature variables, a deep auto-encoder and long short-term memory (DALSTM) network are constructed. Considering the complex temperature distribution characteristics, the nonlinear features are clustered to divide the data into different subspaces. In this way, the distribution features are similar in the same subspace. Finally, local DALSTM models of core temperature in different subspaces are developed, and a multimode DALSTM monitoring strategy is designed. The monitoring statistics of the local models reflect the detailed variations of the process and achieve fine-grained detection of anomalous behavior. The effectiveness of the proposed model is verified by real operation data. The experimental results show that the method can achieve fast and accurate anomaly detection for reactor core temperature.

关键词： Temperature sensors Temperature measurement Temperature distribution Feature extraction Safety Reliability Inductors

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Analyzing the trends and hotspots of biochar’s applications in agriculture,environment,and energy:a bibliometrics study for 2022 and 2023

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Biochar 2024年第1期6卷 1390-1407页

作者： Ping Wu Yingdong Fu Tony Vancov Hailong Wang Yujun Wang Wenfu Chen Hebei Key Laboratory of Soil Ecology Hebei Key Laboratory of Agricultural Water ResourcesCenter for Agricultural Resources ResearchInstitute of Genetics and Developmental BiologyChinese Academy of SciencesShijiazhuang 050022China. School of Life Sciences Institute of Life Sciences and Green DevelopmentHebei UniversityBaoding 071002HebeiChina. NSW Department of Primary Industries Elizabeth Macarthur Agricultural Insti-tuteMenangleNSW 2568Australia. School of Environmental and Chemical Engineering Foshan UniversityFoshan 528000GuangdongChina. Guangdong Provincial Key Laboratory of Integrated Agro-Environmental Pollution Control and Management Institute of Eco-Environmental and Soil SciencesGuangdong Academy of SciencesGuangzhou 510650China. Key Laboratory of Soil Environment and Pollution Remediation Institute of Soil ScienceChinese Academy of SciencesNanjing 210008JiangsuChina. University of Chinese Academy of Sciences Beijing 100049China. Biochar Engineering and Technology Research Center of Liaoning Province Rice Research InstituteAgronomy CollegeShenyang Agricultural UniversityShenyang 110866LiaoningChina.

Biochar,produced from the thermochemical conversion of biomass waste,has various applications owing to its broad utility and advantageous *** study employs a scientometric approach to comprehensively assess the advancements in biochar application from 2022 to *** 13,357 bibliographic records sourced from the Web of Science Core Collection with the search term“biochar”,the analysis focuses on authorship,national contributions,and keyword *** demonstrate a continual rise in annual publications since 2009,albeit with a moderated growth rate in *** leads in publication outputs,followed by USA and India,with Hailong Wang emerging as a prominent figure in biochar *** co-occurrence analyses identify key research themes such as biochar’s role in climate change mitigation,easing salinity and drought stress,immobilizing toxic metals,degrading organic pollutants,serving as additives in anaerobic digestion,and functioning as electrodes in microbial fuel *** these,biochar’s application for global climate change mitigation gains significant attention,while its utilization as electrodes in microbial fuel cells emerges as a promising research frontier,indicating the growing need for sustainable energy *** study also outlines critical research gaps and future priorities for enhancing biochar ***,it highlights the diverse applicability of biochar and offers valuable insight into research progression and forthcoming directions in biochar studies.

关键词： Bibliometric analysis Research hotspots Carbon neutrality Microbial fuel cells Sustainable application

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A Multi-source Fault Diagnosis Method for Single-stage Gearbox Based on Information Integration of Vibration and Abrasive Particles 7

A Multi-source Fault Diagnosis Method for Single-stage Gearb...

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7th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2023

作者： Zhao, Bo Zhang, Kun Sheng, Chenxing Jiang, Shiliang Chen, Linxiong Wuhan Second Institute of Ship Design and Research Hubei Wuhan430063 China The First Military Representative Office of the Naval Armament Department in Shanghai Shanghai200000 China Wuhan University of Technology Key Laboratory of Marine Power Engineering and Transportation Industry Hubei Wuhan430063 China

ISBN: (纸本)9798350382877

In order to improve the accuracy in fault diagnosis for gearboxes, a diagnostic method integrating vibration and abrasive information is adopted to separate and identify combined faults in gears. A BP neural network is used to construct a basic model for fault diagnosis of gears and determine the inputs and outputs of the model. Through the comparison of the accuracy of fault recognition based on single sensor information and that based on information integration, the feasibility of information integration is verified in fault recognition. A particle swarm optimization algorithm is employed to optimize the BP neural network, demonstrating that the particle swarm optimization algorithm can effectively improve the accuracy of the BP neural network in fault recognition of the gearbox. A TFSWT algorithm is used to select and weight feature parameters, so as to verify the superiority of TFSWT -PSO-BP network model and endow a certain theoretical significance for studying the fault diagnosis of gears. © 2023 IEEE.

关键词： Failure analysis

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Microwave Absorption of Crystalline Fe/MnO@C Nanocapsules Embedded in Amorphous Carbon

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Nano-Micro Letters 2020年第4期12卷 152-167页

作者： Gaihua He Yuping Duan Huifang Pang Key Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province) School of Materials Science and Engineering Dalian University of Technology

Crystalline Fe/MnO@C core–shell nanocapsules inlaid in porous amorphous carbon matrix(FMCA)was synthesized successfully with a novel confinement *** heterogeneous Fe/MnO nanocrystals are with approximate single-domain size which gives rise to natural resonance in 2–18 *** addition of MnO2 confines degree of graphitization catalyzed by iron and contributes to the formation of amorphous *** heterogeneous materials composed of crystalline–amorphous structures disperse evenly and its density is significantly reduced on account of porous ***,adjustable dielectric loss is achieved by interrupting Fe core aggregation and stacking graphene conductive *** dielectric loss synergistically with magnetic loss endows the FMCA enhanced *** optimal reflection loss(RL)is up to−45 dB,and the effective bandwidth(RL<−10 dB)is 5.0 GHz with 2.0 mm *** proposed confinement strategy not only lays the foundation for designing high-performance microwave absorber,but also offers a general duty synthesis method for heterogeneous crystalline–amorphous composites with tunable composition in other fields.

关键词： Crystalline nanocapsule Amorphous carbon Core–shell structure Interfacial polarization Microwave absorption

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Corrigendum to "Liberating photoinhibition through extracellular extraction of photosynthetic electrons in anoxygenic phototrophic bacteria" [Chem. Eng. J. 507 (2025) 160495] (Chemical engineering Journal (2025) 507, (S1385894725013002), (10.1016/***.2025.160495))

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Chemical engineering Journal 2025年 513卷

作者： Sun, Jian Fang, Runjia Chen, Rui Zheng, Yaoyao Yuan, Yong Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and Engineering Guangdong University of Technology Guangdong Guangzhou510006 China

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