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Optical analogs of Bloch-Zener oscillations in binary waveguide arrays: Wave-number-evolution perspective

Physical Review A 2025年第3期111卷 033525-033525页

作者： Minh C. Tran Truong X. Tran Atomic Molecular and Optical Physics Research Group Science and Technology Advanced Institute Van Lang University Ho Chi Minh City Vietnam Faculty of Applied Technology School of Technology Van Lang University Ho Chi Minh City Vietnam Department of Physics Le Quy Don Technical University 236 Hoang Quoc Viet Street 10000 Hanoi Vietnam

We study optical analogs of Bloch oscillations and Zener tunneling in binary waveguide arrays (BWAs) with the help of the wave-number-based approach. We analytically derive two very simple laws describing the evolution of the central wave numbers of beams in BWAs that help us analytically obtain the propagation distances where the Zener tunneling takes place due to the interband transition and the distances where beams reach the turning points and change direction. These distances just depend on the strength of the linear potential and the initial wave number of input beams. We also show that nonlinearity of the Kerr type has a detrimental influence on the Bloch-Zener oscillations.

关键词： Optical Kerr effect

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Tomato leaf curl New Delhi virus:an emerging plant begomovirus threatening cucurbit production

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aBIOTECH 2023年第3期4卷 257-266页

作者： Lingmin Cai Yuzhen Mei Ruyi Ye Yun Deng Xuejun Zhang Zhongyuan Hu Xueping Zhou Mingfang Zhang Jinghua Yang Laboratory of Germplasm Innovation and Molecular Breeding Institute of Vegetable ScienceZhejiang UniversityHangzhou 310058China Institute of Biotechnology Zhejiang UniversityHangzhou 310058China Peking University Institute of Advanced Agricultural Sciences Weifang 261000China Hami Melon Research Center Xinjiang Academy of Agricultural SciencesUrumqi 830091China Hainan Institute Zhejiang UniversityYazhou Bay Science and Technology CitySanya 572025China Key Laboratory of Horticultural Plant Growth and Development Ministry of Agriculture and Rural AffairsHangzhou 310058China

Tomato leaf curl New Delhi virus(ToLCNDV),a bipartite begomovirus,was first reported to infect tomato and has recently spread rapidly as an emerging disease to Cucurbitaceae *** date,the virus has been reported to infect more than 11 cucurbit crops,in 16 countries and regions,causing severe yield *** autumn 2022,ToLCNDV was first isolated from cucurbit plants in Southeastern coastal areas of *** analysis established that these isolates belong to the Asian ToLCNDV clade,and shared high nucleotide identity and closest genetic relationship with the DNA-A sequence from the Chinese tomato-infecting ToLCNDV isolate(Accession ***356207)and the tomato New Delhi ToLCNDV-Severe isolate(Accession ***159454).In this review,we summarize the occurrence and distribution,host range,detection and diagnosis,control strategies,and genetic resistance of ToLCNDV in the *** then summarize pathways that could be undertaken to improve our understanding of this emerging disease,with the objective to develop ToLCNDV-resistant cucurbit cultivars.

关键词： Tomato leaf curl New Delhi virus Cucurbits Emerging virus disease Genetic resistance

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Effect of different metal-reinforcement phases on PEO discharge and coating growth behavior of AZ91 Mg-matrix composites

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Journal of Magnesium and Alloys 2025年

作者： Jiao, Jinchao Gu, Yongrui Ding, Xiaoyun Zhang, Jin Lian, Yong Gao, Pengfei Zhang, Xiaohui Han, Shengli Zheng, Kaihong Pan, Fusheng Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing 100083 China Beijing Key Laboratory of Corrosion Erosion and Surface Technology University of Science and Technology Beijing Beijing 100083 China Institute of New Materials Guangdong Academy of Sciences Guangzhou510650 China National Engineering Research Center for Magnesium Alloys Chongqing University Chongqing 404100 China

The strength and ductility of Mg alloys were improved through the introduction of metallic reinforcement phases. How the effect of different metal-reinforcement phases on the PEO discharge and coating growth behavior of Mg-matrix composites remains unclear. In this work, the influence of three metal-reinforcement phases (Nb, Mn, and Cu) on voltage evolution, coating morphology, coating phase composition, and corrosion resistance was investigated. The results indicate that Nb-reinforcement undergoes continuous spark discharges, resulting in the formation of a "volcano-like" localized morphology. In contrast, Mn and Cu-reinforcements do not directly participate in PEO discharges;instead, their oxidation products form "nodule-like" protrusions that limit the voltage rise rate. These behaviors are attributed to differences in the properties of the oxidation products of metal reinforcements and the Mg matrix, such as stability, Pilling–Bedworth ratio (PBR), band gap, dielectric constant, and conductivity. These characteristics influence the electrical structure of the PEO coating, thereby altering the PEO discharge and coating growth behavior of the composites. Finally, two models are proposed to describe the PEO discharge mechanisms in the two types of metal-reinforced AZ91-based composites. © 2025

关键词： Corrosion resistance

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16.3%Efficiency binary all-polymer solar cells enabled by a novel polymer acceptor with an asymmetrical selenophene-fused backbone

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science China Chemistry 2022年第2期65卷 309-317页

作者： Huiting Fu Qunping Fan Wei Gao Jiyeon Oh Yuxiang Li Francis Lin Feng Qi Changduk Yang Tobin J.Marks Alex K.-Y.Jen Department of Materials Science and Engineering City University of Hong KongKowloon 999077Hong KongChina Department of Chemistry City University of Hong KongKowloon 999077Hong KongChina Department of Energy Engineering School of Energy and Chemical EngineeringPerovtronics Research CenterLow Dimensional Carbon Materials CenterUlsan National Institute of Science and Technology(UNIST)50 UNIST-gilUlju-gunUlsan 44919Republic of Korea Department of Materials Science and Engineering University of WashingtonSeattleWashington 98195-2120USA Department of Chemistry and the Materials Research Center Northwestern UniversityEvanstonIL60208USA Institute for Advanced Studies City University of Hong KongKowloon 999077Hong KongChina

Despite the significant progress made recently in all-polymer solar cells(all-PSCs),it is still quite challenging to achieve high open-circuit voltage(V_(oc))and short-circuit current density(J_(sc))simultaneously in order to further improve their *** recent strategy of using selenophene to replace thiophene on the Y6 based polymer acceptors has resulted in significantly improved J_(sc)s of the resulting ***,such modifications have also depressed V_(oc),which compromises the overall performance of the ***,we present the design and synthesis of a novel polymer acceptor,PYT-1S1Se,created by inserting an asymmetrical selenophene-fused framework to precisely manipulate optical absorption and electronic *** with the selenium-free analog,PYT-2S,and symmetrical selenium-fused analog,PYT-2Se,the PYT-1S1Se derived all-PSCs not only deliver optimized J_(sc)(24.1 mA cm^(−2))and V_(oc)(0.926 V)metrics,but also exhibit a relatively low energy loss of 0.502 ***,these devices obtain a record-high power conversion efficiency(PCE)of 16.3%in binary *** work demonstrates an effective molecular design strategy for balancing the trade-off between V_(oc) and J_(sc) to achieve highefficiency all-PSCs.

关键词： all-polymer solar cells polymer acceptors asymmetrical selenophene-fused backbone power conversion efficiencies stability

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Formation Mechanism of Nanoparticles in Fe-Cr-Al ODS Alloy Fabricated by Direct Oxidation Method

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Acta Metallurgica Sinica(English Letters) 2021年第7期34卷 963-972页

作者： Fuzhao Yan Jing Li Yiyi Li Liangyin Xiong Shi Liu Materials for Special Environments Division CAS Key Laboratory of Nuclear Materials and Safety AssessmentShi-changxu Innovation Center for Advanced MaterialsInstitute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China

This study presents the fabrication of 14CrFe-Cr-Al oxide dispersion strengthened(ODS)alloy by a direct oxidation *** order to explain how oxide nanoparticles are formed in the consolidation process,the powders after oxidation are subjected to vacuum thermal treatment at high *** scanning calorimeter,X-ray photoelectron spectroscopy,scanning electron microscopy and transmission electron microscopy techniques are used to detect the generation,evolution of oxides on both the surface and interior of the powder,as well as the type of oxide nanoparticles in the fabricated ODS *** is found that an iron oxide layer is formed on the surface of the powder during low temperature *** the iron oxide layer would be decomposed after thermal treatment at high *** the consolidation process,the oxygen required by the reaction of alumina and yttrium oxide to produce nano scale Y-Al-O particles mainly derives from the decomposition of iron oxide layer at elevated temperature and the inward diffusion of *** the direct oxidation process,YAlO_(3) nanoparticles are dispersed in the grains and at the grain boundaries of Fe-Cr-Al ODS alloy.

关键词： Fe-Cr-Al ODS alloy Direct oxidation Iron oxide layer Y-Al-O nanoparticles Formation mechanism

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Experimental Demonstration of Drone-Based Quantum Key Distribution

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Physical Review Letters 2024年第20期133卷 200801-200801页

作者： Xiao-Hui Tian Ran Yang Hua-Ying Liu Pengfei Fan Ji-Ning Zhang Changsheng Gu Mengwen Chen Mingzhe Hu Feng-Yu Lu National Laboratory of Solid State Microstructures School of Electronic Science and Engineering School of Physics College of Engineering and Applied Sciences and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China Xin Lian Technology Co. Ltd. Huzhou 313399 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei 230026 China

Quantum state transferring has been demonstrated using drones via entanglement distribution. Here, we demonstrate the first drone-based quantum task for quantum key distribution (QKD). Compact and polarization-maintaining acquisition, pointing, and tracking systems and QKD modules are developed and loaded on a homemade octocopter with a takeoff weight of 30 kg. Real-time QKD is performed over a 200 m distance with an 8.48 kHz average secret key rate using a polarization-coded decoy-state BB84 protocol. With the capability of secret key distribution using a drone, wireless communication can be expected with enhanced security in the quantum approach between mobile nodes toward a network.

关键词： Optical quantum information processing Quantum communication Quantum cryptography Quantum networks Quantum optics

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Superconducting quantum computer: A hint for building architectures 41

Superconducting quantum computer: A hint for building archit...

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35th Symposium on VLSI Circuits, VLSI Circuits 2021

作者： Tabuchi, Yutaka Tamate, Shuhei Yorozu, Shinichi Riken Center for Emergent Matter of Science Wako Saitama351-0198 Japan The University of Tokyo Research Center for Advanced Science and Technology Meguro Tokyo153-8904 Japan

ISBN: (纸本)9784863487796

We discuss the scalability of superconducting quantum computers, especially in a wiring problem. The number of wiring inside a cryostat is almost proportional to the number of qubits in the current wiring architecture. We introduce "The three-Y's": regularity, modularity, and hierarchy to an architecture design of superconducting quantum computers. The key to the wiring elimination is found in the quantum error correction codes having thresholds and spatial translational symmetry, i.e., the surface code. We show a superconducting-digital-logic-based architecture and introduce a stacked heterogeneous structure of the quantum module. © 2021 JSAP.

关键词： Error correction

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Fabrication of polydopamine functionalized AgNF SERS substrate: Applications for sensitive detection of nivalenol in food samples and cell biocompatibility

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Colloids and Surfaces A: Physicochemical and Engineering Aspects 2024年 688卷

作者： Kitaw, Sintayehu Leshe Wondosen Ahmed, Yohannis Thankachan, Darieo Candra, Andy Wu, Tsung-Yun Anley, Beyadgalem Endawoke Gou, Yu-Xuan Chen, Ying-Yu Cheng, Yu-Ting Birhan, Yihenew Simegniew Chen, Kuan-Ju Tsai, Hsieh-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei10607 Taiwan Advanced Membrane Materials Center National Taiwan University of Science and Technology Taipei10607 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan Chungli320 Taiwan Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Chemistry College of Natural and Computational Sciences Debre Markos University P.O. Box 269 Debre Markos Ethiopia

Surface-enhanced Raman spectroscopy (SERS) is a robust analytical tool applicable for the quick and accurate determination of mycotoxins. However, there hasn't been any attempt to use SERS for the quantitative detection of nivalenol (NIV) thus far. To improve the Raman signals of NIV, we fabricated a polydopamine-coated silver nanoflower (PDA-AgNFs) SERS substrate with strong "hot-spots". The PDA-AgNFs substrates showed superior SERS enhancement activities in the target analyte detection and quantification. It produced good substrate uniformity (relative standard deviation of SERS signals, RSD = 4.1% for substrate-to-substrate test, and 3.24% for spot-to-spot test), an enhancement factor of 2.87 × 106 towards rhodamine 6B (R6G), and detection sensitivity as low as 1 femtomolar (10−15 M) against R6G probe molecule. Moreover, the PDA-AgNFs SERS substrates were successfully used, for the first time, to detect NIV in corn, horse beans, and mushroom samples. The calibration curve showed a satisfactory linear fit based on the SERS intensities of different NIV concentrations. The detection limit (LOD) for the suggested approach was 0.22 nM (S/N = 3). Interestingly, the MTT assay experiment demonstrated that PDA-AgNFs had no toxicity against mammalian NIH-3T3 cells. The biocompatible PDA-AgNFs substrates with intense plasmonic effects and binding sites demonstrated impressive Raman enhancement, and could serve as an effective, label-free, and fast SERS-based analysis of NIV in real samples. © 2024

关键词： Mycotoxins

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Topic-based Multi-layer Knowledge Filtering for Emotion Recognition in Conversation

Topic-based Multi-layer Knowledge Filtering for Emotion Reco...

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International Conference on Computer Supported Cooperative Work in Design

作者： Xiaoyang Li Zhenyu Yang Yiwen Li Zhijun Li Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computer Networks Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

Emotion recognition in conversation (ERC) is a prominent research topic in natural language processing, widely applicable in various scenarios. However, accessing external commonsense knowledge and related dialogue topics, along with the complexity of fusing utterances, presents significant challenges. In this paper, we introduce a Topic-based Multilayer Knowledge Filtering (TMKF) model to enhance dialog emotion recognition accuracy. TMKF acquires commonsense knowledge for each utterance and employs two Variational Autoencoder (VAE) modules to extract global and speaker-level dialogue topics. We utilize Global Knowledge Filtering (GKF) and Local Knowledge Filtering (LKF) to obtain topic-specific knowledge representations after filtering commonsense information through global and local topic hierarchies. Subsequently, we leverage relational graphs to convolve commonsense knowledge with utterances, resulting in knowledge-constrained utterance representations for classification. Our proposed model is evaluated through extensive experiments on four widely used benchmark datasets for conversational emotion recognition. The results underscore the effectiveness of TMKF, which significantly outperforms other methods in standard metric evaluations.

关键词： Measurement Emotion recognition Filtering Convolution Oral communication Benchmark testing Nonhomogeneous media

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Ensemble Network for Alzheimer’s Disease Diagnosis

Ensemble Network for Alzheimer’s Disease Diagnosis

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Artificial Intelligence technology (ACAIT), Asian Conference on

作者： Chen Liang Yande Wang Haoyu Zheng Liang Dong Wenhao Tan Anhui Provincial International Joint Research Center for Advanced Technology in Medical Imaging School of Computer Science and Technology Anhui University Hefei China School of Computer Science and Technology Anhui University Hefei China

ISBN: (数字)9798350359145

ISBN: (纸本)9798350359152

Alzheimer’s disease (AD) is a common progressive neurodegenerative disorder characterized by a gradual decline in patients’ behavior, memory, and cognition. However, due to the complexity and low quality of medical images, a single neural network may not fully leverage the relevant features within the images. To address this issue, this paper proposes a multi-network ensemble architecture aiming to improve diagnostic accuracy. In the proposed approach, we employ three different neural networks to process a medical image. Each network has a unique structure and feature extraction capability to better capture relevant information in the images, and their outputs are fused via a fusion layer to obtain the final consensus output. Additionally, we utilize cross-entropy as the loss function to measure the discrepancy between the integrated output and the ground truth, and optimize the network parameters through backpropagation. After the end-to-end training, the resulting model is capable of providing accurate diagnostic results. Experimental results demonstrate that this method can better capture relevant features in medical images, thereby enhancing diagnostic accuracy. It shows potential in the diagnosis of Alzheimer’s disease, providing physicians with a reliable auxiliary tool.

关键词： Training Solid modeling Three-dimensional displays Neural networks Reliability engineering Loss measurement Medical diagnosis

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