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Dynamical switchable quantum nonreciprocity induced by off-resonant chiral two-photon driving

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Science china(Physics,Mechanics & Astronomy) 2024年第6期67卷 31-37页

作者： Da-Wei liu Zi-Hao li Shi-Lei Chao Ying Wu liu-Gang Si school of Physics and Institute for Quantum Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China

Optical nonreciprocity,which refers to the direction-dependent emission,scattering and absorption of photons,plays a very important role in quantum engineering and quantum information ***,we propose an all-optical approach to achieve the optical dynamical switchable quantum nonreciprocity by an off-resonant chiral two-photon driving in a single microring cavity,which differs from the conventional nonreciprocal *** is shown that the optical field with time-dependent statistical properties can be generated and the nonreciprocity flips periodically,with switchable photon blockade and photon-induced tunneling *** find that the dynamical system is robust and immune to the parameter variations,which loosens the parameter range of ***,the time window for one-way quantum information is sufficiently wide and *** work opens a new idea for the current quantum nonreciprocal research,which can facilitate a memory functionality and be used for future inmemory superconducting quantum *** other nonreciprocal quantum devices,i.e.,dynamical switchable nonreciprocal squeezing and entanglement,may be inspired by our method,which is expected to have important applications in future quantum technology.

关键词： dynamical switchable nonreciprocity single-photon source chiral two-photon driving

Application of deep learning in iron ore sintering process:a review

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Journal of Iron and Steel Research International 2024年第5期31卷 1033-1049页

作者： Yu-han Gong Chong-hao Wang Jie li Muhammad Nasiruddin Mahyuddin Mohamad Tarmizi Abu Seman school of Electrical and Electronic Engineering Universiti Sains Malaysia14300 Nibong TebalPenangMalaysia College of Electrical Engineering North China University of Science and TechnologyTangshan 063210HebeiChina Technology Transfer Center North China University of Science and TechnologyTangshan 063210HebeiChina school of Metallurgy and Energy North China University of Science and TechnologyTangshan 063210HebeiChina

In the wake of the era of big data,the techniques of deep learning have become an essential research direction in the machine learning field and are beginning to be applied in the steel *** sintering process is an extremely complex industrial *** the main process of the blast furnace ironmaking industry,it has great economic value and environmental protection significance for iron and steel *** is also one of the fields where deep learning is still in the exploration *** order to explore the application prospects of deep learning techniques in iron ore sintering,a comprehensive summary and conclusion of deep learning models for intelligent sintering were presented after reviewing the sintering process and deep learning models in a large number of research ***,the mechanisms and characteristics of parameters in sintering processes were introduced and analysed in detail,and then,the development of iron ore sintering simulation techniques was ***,deep learning techniques were introduced,including commonly used models of deep learning and their ***,the current status of applications of various types of deep learning models in sintering processes was elaborated in detail from the aspects of prediction,controlling,and optimisation of key *** speaking,deep learning models that could be more effectively implemented in more situations of the sintering and even steel industry chain will promote the intelligent development of the metallurgical industry.

关键词： Deep learning Sintering process Modelling Simulation technology Intelligent sintering

Concept, configuration, and application of on-board nanogrids for use in electric vehicles

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Science china(Technological Sciences) 2024年第7期67卷 2053-2073页

作者： ZHAO Bing li Yong WU Fang WAN JiangHu CAI JiuQing YANG HaiTao liU Fang College of Electrical and Information Engineering Hunan UniversityChangsha 410082China Wuhan Second Ship Design and Research Institute Wuhan 430000China school of Automation Central South UniversityChangsha 410083China

Against the backdrop of increasingly serious climate change, researchers are attempting to extend macroscale carbon reduction research to smaller scales. With the rapid development and widespread application of electric vehicles(EVs), an effective approach for carbon reduction based on EVs has the potential to be developed. To coordinate and manage the EV platform in diverse application scenarios, the concept of an on-board nanogrid(OBNG), in which a nanogrid is combined with the EV, is proposed and defined, and the characteristics summarized. A configuration that includes a physical layer with the on-board hardware system;an information layer for logical control, energy management, and communication coordination;and an application layer that can cope with different working environments is proposed. A detailed introduction to the basic architecture and management mode of each layer is provided along with information concerning the relevant technologies for coordinated operation. New ideas and approaches to improve the existing performance are proposed, and finally, combined with a background of smart and low-carbon cities, major application scenarios are envisioned.

关键词： electric vehicle nanogrid energy management hybrid energy storage power electronics converter

A quantum federated learning framework for classical clients

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Science china(Physics,Mechanics & Astronomy) 2024年第5期67卷 1-10页

作者： Yanqi Song Yusen Wu Shengyao Wu Dandan li Qiaoyan Wen Sujuan Qin Fei Gao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 00876China Department of Physics The University of Western AustraliaPerthWA 6009Australia school of Computer Science(National Pilot Software Engineering school) Beijing University of Posts and TelecommunicationsBeijing100876China

Quantum federated learning(QFL)enables collaborative training of a quantum machine learning(QML)model among multiple clients possessing quantum computing capabilities,without the need to share their respective local ***,the limited availability of quantum computing resources poses a challenge for each client to acquire quantum computing *** raises a natural question:Can quantum computing capabilities be deployed on the server instead?In this paper,we propose a QFL framework specifically designed for classical clients,referred to as CC-QFL,in response to this *** each iteration,the collaborative training of the QML model is assisted by the shadow tomography technique,eliminating the need for quantum computing capabilities of ***,the server constructs a classical representation of the QML model and transmits it to the *** clients encode their local data onto observables and use this classical representation to calculate local *** local gradients are then utilized to update the parameters of the QML *** evaluate the effectiveness of our framework through extensive numerical simulations using handwritten digit images from the MNIST *** framework provides valuable insights into QFL,particularly in scenarios where quantum computing resources are scarce.

关键词： client server quantum

Determination of multilevel chirality in nickel molybdate films by electron crystallography

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Nano Research 2024年第9期17卷 8571-8577页

作者： Jing Ai Yu Wang liyuan li Jianqiang Wang Te Bai Shunai Che Lu Han Sinopec(Shanghai)Research Institute of Petrochemical Technology Co. Ltd.Shanghai 201208China school of Chemical Science and Engineering Tongji UniversityShanghai 200092China school of Chemistry and Chemical Engineering State Key Laboratory of Metal Matrix CompositesShanghai Jiao Tong UniversityShanghai 200240China

Chiral inorganic materials have attracted great attention owning to their unique physical and chemical properties attributed to the symmetry-breaking of their *** inorganic materials can be endowed with chiral geometric configurations from achiral space group crystals through lattice twisting,screw dislocations or hierarchical self-assembled spiral morphologies,showing various characteristic chiral ***,the multilevel chirality in chiral nickel molybdate films(CNMFs)remains to be elaborately *** this paper,we report three hierarchical levels of chirality in CNMFs,spanning from the atomic to the micron scale,including primary helically coiled nanoflakes with twisted atomic crystal lattices,secondary helical stacking of layered nanoflakes,and tertiary asymmetric morphology between adjacent *** findings may enrich the chiral self-assembly structural types and provide valuable insights for the comprehensive analysis path of hierarchical chiral crystals.

关键词： chiral inorganic material nickel molybdate structural analysis transmission electron microscopy electron crystallography

Amorphous NiMo_(3)S_(13)/nickel foam integrated anode for lithium-ion batteries

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Tungsten 2024年第2期6卷 438-446页

作者： Ming-Xin Shi Min Wu Shan-Shan Xiao Shan-Ping liu Rui-Qi Yao Ying-Qi li Yong-Hui Wang Yang-Guang li Hua-Qiao Tan Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education Faculty of ChemistryNortheast Normal UniversityChangchun 130024China school of Materials Science and Engineering Jilin Jianzhu UniversityChangchun 130118China Institute Charles Gerhardt Montpellier Universite de MontpellierCentre National de la Recherche Scientifi quePlace E.Bataillon34095 Montpellier Cedex 05France

Although crystalline anode materials with long-range ordered lattice structure are in favor of facilitating the electron transfer,their structures are easily disrupted during long-term cycling due to the continuous embedding/de-embedding of lithium *** contrast,the amorphous materials have abundant defects and lithium ion storage sites,refl ecting a superior reaction kinetics and long-term cycling ***,we synthesize an integrated hybrid anode by in-situ loading amorphous NiMo_(3)S_(13)nanosheets on nickel foam *** ting from the introduction of Ni^(2+)that amorphizes the molybdenumsulfur clusters,the assembled lithium ion battery based on the integrated NiMo_(3)S_(13)/nickel foam anode delivers a specifi c capacity up to 1659 mA·h·g^(−1)at a current density of 0.6 A·g^(−1)and exhibits superior rate/cycling performance.

关键词： Molybdenum-sulfur clusters Amorphous Integrated anode Crystalline lithium-ion batteries

A novel lightweight computerized ECG interpretation approach based on clinical 12-lead data

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Science china(Technological Sciences) 2024年第2期67卷 449-463页

作者： liU YunQing QIN ChengJin liU JinLei JIN YanRui li ZhiYuan ZHAO liQun liU Chengliang school of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Key Labof Artificial Intelligence(Ministryof Education) AI InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology Shanghai First Peoples Hospital Affiliated to Shanghai Jiao Tong UniversityShanghai 200080China

Although 12-lead electrocardiograms(ECGs)provide a wide range of spatiotemporal characteristics,interpreting them for arrhythmia detection is difficult due to a lack of reliable large-scale clinical ***,we proposed an innovative lightweight computerized ECG interpretation approach based on 12-lead *** model was trained,validated,and tested on 53845 standard 12-lead ECG records collected at Shanghai First People’s Hospital in affiliation with Shanghai Jiao Tong *** experiments revealed that our approach had a classification accuracy of 94.41%in the classification task of seven types of rhythms,which was markedly superior to related single-lead and 12-lead ECG classification ***,the average receiver operating characteristic area under the curve reached a value of 0.940,and the precision values for sinus tachycardia and sinus bradycardia were 0.945 and 0.91,respectively,with specificity values of 0.996 and *** employing our boosting method,we were able to improve the accuracy to 94.85%.To investigate the performance degradation of the proposed neural network in some classes,an ECG cardiologist was enlisted to review questionable ECGs;this process provides a promising direction for network performance ***,the proposed computerized ECG interpretation approach has practical significance because it could help professional physicians analyze patients’heart conditions based on real-time 12-lead ECG or grade their disease severity in advance.

关键词： computerized ECG interpretation large-scale 12-lead clinical ECG database lightweight neural network

The influence of proxy selection on global annual mean temperature reconstructions during the Common Era

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Science china Earth Sciences 2024年第8期67卷 2522-2534页

作者： Bao YANG Xia li Minhui HE Feng WANG Yesi ZHAO Peng ZHANG Jianglin WANG Frontiers Science Center for Critical Earth Material Cycling School of Geography and Ocean ScienceNanjing UniversityNanjing 210023China Key Laboratory of Desert and Desertification Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China Centre Eau Terre Environnement Institut National de la Recherche ScientifiqueQuébecQCG1K 9A9Canada GEOTOP Research Centre in the Dynamics of the Earth System MontréalQC H2X 3Y7Canada

The reconstruction of global annual mean temperatures made by the PAGES 2k Consortium in 2019 represents one of the most influential sequences of global climate variability over the Common ***,it is still not clear how the reconstruction can be influenced by the selection of reconstruction methods and the selection of proxy records with different temporal resolutions over different *** adopt a widely used Composite-Plus-Scale method to elucidate the effects of the selection of the proxy records on temperature *** ensure the uniformity of data,different types of proxy records spanning the past~2000 years from the PAGES 2k proxy network were used to investigate the potential effects of proxy selection in hemispheric and global temperature reconstructions during the past two *** long-term trends,spectral characteristics,and volcanic responses of the annual temperatures were studied based on the *** results reveal a significant cooling trend in the global annual mean temperature using both tree-ring and non-tree-ring records during the 1–1850CE period,and show that the cooling exhibits a stronger trend in the Southern Hemisphere(SH)than that in the Northern Hemisphere(NH).Yet,the long-term trends vary according to different combinations of proxy *** reconstructions based on different types of proxies also exhibit different features in terms of volcanic responses and spectral ***-ring-based temperature reconstructions show stronger cooling responses to tropical volcanic eruptions,while non-tree-ring-based reconstructions suggest less robust volcanic responses,which may be related to dating uncertainties and low temporal resolution of the ***-ring width records tend to preserve a substantial proportion of high-frequency(lity,whereas non-tree-ring proxies tend to capture a larger fraction of low-frequency(>200 years)*** are needed to reduce uncertainti

关键词： Millennial cooling trend Global climate change Proxy records Volcanic eruptions Spectral properties Common Era

Theoretical investigations on the growth of graphene by oxygenassisted chemical vapor deposition

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Nano Research 2024年第6期17卷 4645-4650页

作者： Xiaoli Sun Chaojie Yu Yujia Yang Zhihao li Jianjian Shi Wanjian Yin Zhongfan liu Beijing Graphene Institute(BGI) Beijing 100095China school of Physics and Electronics Shandong Normal UniversityJinan 250014China College of Energy Soochow Institute for Energy and Materials InnovationsLight Industry Institute of Electrochemical Power SourcesSUDA-BGI Collaborative Innovation CenterSoochow UniversitySuzhou 215006China school of Electronic Engineering Chengdu Technological UniversityChengdu 611730China Center for Nanochemistry Beijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China

Recently,graphene has drawn considerable attention in the field of electronics,owing to its favorable conductivity and high carrier *** to the industrialization of graphene is its high-quality microfabrication via chemical vapor ***,many problems remain in its preparation,such as the not fully understood cracking mechanism of the carbon source,the mechanism of its substrate oxidation,and insufficient defect repair *** help close this capability gap,this study leverages density functional theory to explore the role of O in graphene *** effects of Cu substrate oxidation on carbon source cracking,nucleation barriers,crystal nucleus growth,and defect repairs are *** was found to reduce energy change during dehydrogenation,rendering the process ***,the adsorbed O in graphene or its Cu substrate can promote defect repair and edge growth.

关键词： density functional theory oxygen-assisted graphene growth chemical vapor deposition Cu substrate