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Plasmon-Promoted Interatomic Hot Carriers Regulation Enhanced Electrocatalytic Nitrogen Reduction Reaction

Angewandte Chemie 2024年第48期136卷

作者： Dr. Wenkai Liang Dr. Miao Xie Dr. Dong Li Wei Qin Chang Dai Yawen Wang Dr. Hao Zhang Bo Zhao Dr. Guangyao Jin Prof. Dr. Yinghui Sun Prof. Dr. Lin Jiang Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon-Based Functional Materials & Devices Soochow University 215123 Suzhou China Nonequilibrium Chemical Physics TUM School of Natural Sciences Technical University of Munich 85748 Garching Germany Innovation Centre for Chemical Sciences College of Chemistry Chemical Engineering and Materials Science Soochow University 215123 Suzhou China Jinglan Advanced Material Co. Ltd. 214100 Wuxi China Key Laboratory of Science and Engineering for the Multi-modal Prevention and Control of Major Chronic Diseases Ministry of Industry and Information Technology 450000 Zhengzhou P. R. China

Utilizing hot carriers for efficient plasmon-mediated chemical reactions (PMCRs) to convert solar energy into secondary energy is one of the most feasible solutions to the global environmental and energy crisis. Finding a plasmonic heterogeneous nanostructure with a more efficient and reasonable hot carrier transport path without affecting the intrinsic plasmonic properties is still a major challenge that urgently needs to be solved in this field. Herein, the mechanism by which plasmon-promoted interatomic hot electron redistribution on the surface of Au 3 Cu alloy nanoparticles promotes the electrocatalytic nitrogen reduction reaction (ENRR) is successfully clarified. The localized surface plasmon resonance (LSPR) effect can boost the transfer of plasmon hot electrons from Au atoms to Cu atoms, trigger the interatomic electron regulation of Au 3 Cu alloy nanoparticles, enhance the desorption of ammonia molecules, and increase the ammonia yield by approximately 93.9 %. This work provides an important reference for rationally designing and utilizing the LSPR effect to efficiently regulate the distribution and mechanism of plasmon hot carriers on the surface of heterogeneous alloy nanostructures.

关键词： localized surface plasmon resonance (LSPR) hot carriers interatomic regulation electrocatalytic nitrogen reduction reaction (ENRR) alloy nanoparticles

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Research on Predictive Functional control Based on Disturbance Observer for PMLSM Speed System 36

Research on Predictive Functional Control Based on Disturban...

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第36届中国控制会议

作者： Zhou Lei Lin Jian Huang Jia-cai School of Automation Nanjing Institute of Technology Jiangsu Key Laboratory of Advanced Numerical Control Technology

ISBN: (纸本)9781538629185

A predictive functional control method based on disturbance observer is proposed to improve the performance of the permanent magnet linear synchronous motor servo system,which is usually characterized by nonlinearity,uncertainty and *** disturbance observer is applied to estimate the disturbance in real time and then compensation current is produced to restrain the load disturbance in the speed *** simulation results show that the controller based on the disturbance observer and predictive functional controller can improve the response speed and steady-state accuracy of the *** the controller shows strong robustness and anti-disturbance,it can be used to effectively control the complex systems.

关键词： permanent magnet linear synchronous motor（PMLSM） disturbance observer predictive functional control（PFC）

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Dynamic Optimization of Chemical Processes using Symbiotic Organisms Search Algorithm

Dynamic Optimization of Chemical Processes using Symbiotic O...

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Chinese Automation Congress (CAC)

作者： Peng Tian Xu Chen Wenxiang Zhao Wenli Du School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu China Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai China

Chemical process optimization problems are often modeled as dynamic optimization problems (DOPs). Due to the nonlinear, multimodal and multi-dimensional nature of DOPs, efficient solution of DOPs is a very challenging task. In this paper, a new intelligent search algorithm called symbiotic organisms search (SOS) is proposed for tackling the chemical DOPs. SOS mainly mimics three symbiotic relationships in ecosystem, namely mutualism, commensalism and parasitism, to perform global search. In addition, compared with previous intelligent search algorithms, SOS has the advantages of no tuning parameters, easy to implement and high performance. Combined with control vector parameterization, the proposed SOS is applied to solve five chemical DOPs with different levels of complexity. Simulation results show that SOS can achieve solutions with accuracy comparable to those methods in the literature, and thus can be regarded as an effective tool for the chemical DOPs.

关键词： Optimization Heuristic algorithms Chemicals Symbiosis Sociology Statistics Organisms

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Entanglement and correlations in a one-dimensional quantum spin-12 chain with anisotropic power-law long-range interactions

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Physical Review B 2020年第9期101卷 094410-094410页

作者： Jie Ren Wen-Long You Xiaoqun Wang Department of Physics Changshu Institute of Technology Changshu 215500 China College of Science Nanjing University of Aeronautics and Astronautics Nanjing 211106 China School of Physical Science and Technology Soochow University Suzhou Jiangsu 215006 China Key Laboratory of Artificial Structures and Quantum Control of MOE Shenyang National Laboratory for Materials Science School of Physics and Astronomy Tsung-Dao Lee Institute Shanghai Jiao Tong University Shanghai 200240 China Collaborative Innovation Center for Advanced Microstructures Nanjing University Nanjing 210093 China Beijing Computational Science Research Center Beijing 100084 China

The correlations, entanglement entropy, and fidelity susceptibility are calculated for a one-dimensional spin-1/2 XXZ chain with anisotropic power-law long-range interactions by employing the density matrix renormalization group method. In particular, this long-range interaction is assigned to ferromagnetic for transversal components, while it can be either ferro- or antiferromagnetic for the longitudinal spin component. Two ground-state phase diagrams are established versus the anisotropy of the interactions, which not only changes the phase boundaries of the counterparts with short-range interactions, but also leads to the emergence of exotic phases. We found that the long-range interactions of the z component results in a Wigner crystal phase, whereas the transversal one may break a continuous symmetry, resulting in a continuous symmetry-breaking phase.

关键词： Entanglement entropy Long-range interactions Phase transitions Quantum phase transitions Density matrix renormalization group Spin chains XYZ model

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Harnessing Atomic-Scale Thinning in Two-Dimensional Organic Molecular Crystals for In-Situ Characterization and Superior Optoelectronics

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Nano letters 2025年第23期25卷 2025 May 29页

作者： Linglong Zhang Fan Yang Fuguo Tian Yichun Cui Kan Zhou Tong Tong Haizeng Song Zhixing Gan Han Yan Xueqian Sun ShunShun Yang Rui Fang Jiong Yang Neng Wan Yangyang Fu Hucheng Song Yongbiao Zhai Youwen Liu Yi Shi Yuerui Lu College of Physics Nanjing University of Aeronautics and Astronautics Key Laboratory of Aerospace Information Materials and Physics (NUAA) MIIT Nanjing 211106 China. Laboratory of Solid State Microstructures Nanjing University Nanjing 210093 China. National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing 100076 China. National Key Laboratory on Electromagnetic Environment Effects and Electro-Optical Engineering PLA Army Engineering University Nanjing 210007 China. School of Physical Science and Technology Suzhou University of Science and Technology Suzhou 215009 China. Center for Future Optoelectronic Functional Materials School of Computer and Electronic Information/School of Artificial Intelligence Nanjing Normal University Nanjing 210023 China. Department of Materials Science and Metallurgy University of Cambridge Cambridge CB30FS U.K. School of Engineering College of Engineering and Computer Science the Australian National University Canberra 0200 Australian Capital Territory Australia. School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province & Key Lab of Modern Optical Technologies of Education Ministry of China Soochow University Suzhou 215006 China. SEU-FEI Nano Pico Center Key Laboratory of MEMS of Ministry of Education School of Electronics Science and Engineering Southeast University Nanjing 210096 China. College of Electronics and Information Engineering Shenzhen University Shenzhen 518060 P. R. China.

Two-dimensional organic single crystals (2D OSCs) offer high crystallinity and quantum limit properties, making them ideal for exploring unique quantum phases and developing scaled optoelectronic devices. However, accurately probing the structure-optoelectronic relationship in 2D OSCs remains challenging. Here we realize in situ optoelectronic characterization of 2D OSCs through an atomically precise thinning technique. Thinning 3D pentacene crystals to the monolayer limit induces a phase transition from Frenkel excitons to charge-transfer (CT) excitons, achieving a near-unity quantum yield (∼95.1%). In-situ electrical measurements demonstrate that this thinning improves carrier mobility and reduces threshold voltages. Utilizing 2D pentacene crystals, we construct a high-performance synapse device, showing a record paired-pulse facilitation index (PPF index ∼ 261%). This remarkable synaptic plasticity further allows us to emulate the human vision system, predicting the object trajectory with exceptional accuracy (∼99.1%). These results provide new insights into the intrinsic properties of 2D OSCs and lay the foundation for multifunctional optoelectronic applications.

关键词： artificial synaptic devices bionic machine vision in situ optoelectronic characterizations large-scale organic crystal monolayer ultrahigh paired-pulse facilitation

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Coordinated control strategy of a DC grid with energy storage system

Coordinated control strategy of a DC grid with energy storag...

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作者： Yang, Bo Sang, Bingyu Yang, Zhihan Li, Menbo Xiang, Wang Lu, Xiaojun Yao, Liangzhong Tao, Yibin School of Electrical Engineering Southeast University Nanjing China State Key Laboratory of Operation and Control of Renewable Energy ＆ Storage Systems China Electric Power Research Institute Beijing China China Electric Power Research Institute Nanjing China Jiangsu Engineering Technology Research Center for Energy Storage Conversion and Application China Electric Power Research Institute Nanjing China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

DC grid has a prospect of application in collecting and transmitting large-scale renewable energy over long distance. However, the randomness and fluctuation of the renewable power may hamper the stable operation of DC grid. Energy storage device is able to actively absorb or supplement active power, which can be used to smooth the power fluctuation. The paper investigates a DC grid topology with energy storage and proposes a coordinated control strategy. The proposed strategy enables coordinated control of the renewable energy output power, pumped storage power and the grid consuming power. During the steady state, the control strategy enables the system DC voltage stable and power flow of the grid under zero-error control. During the faulted time, the coordinate control strategy enables the converter fast response and maintains the system DC voltage within safety margin. The effectiveness of the coordinated control strategy is verified by simulation in PSCAD/ EMTDC. © 2019 Institution of Engineering and *** right reserved.

关键词： Energy storage

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Point spread function modelling for wide field small aperture telescopes with a denoising autoencoder

arXiv

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arXiv 2020年

作者： Jia, Peng Li, Xiyu Li, Zhengyang Wang, Weinan Cai, Dongmei College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control Systems Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China Nanjing Institute of Astronomical Optics and Technology CAS Nanjing Jiangsu210042 China Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom Wuxi Internet of Innovation Center Company Limited Wuxi Jiangsu214135 China

The point spread function reflects the state of an optical telescope and it is important for data post-processing methods design. For wide field small aperture telescopes, the point spread function is hard to model, because it is affected by many different effects and has strong temporal and spatial variations. In this paper, we propose to use the denoising autoencoder, a type of deep neural network, to model the point spread function of wide field small aperture telescopes. The denoising autoencoder is a pure data based point spread function modelling method, which uses calibration data from real observations or numerical simulated results as point spread function templates. According to real observation conditions, different levels of random noise or aberrations are added to point spread function templates, making them as realizations of the point spread function, i.e., simulated star images. Then we train the denoising autoencoder with realizations and templates of the point spread function. After training, the denoising autoencoder learns the manifold space of the point spread function and can map any star images obtained by wide field small aperture telescopes directly to its point spread function, which could be used to design data post-processing or optical system alignment methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Optical transfer function

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Noise-Driven Universal Dynamics towards an Infinite Temperature State

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Physical Review Letters 2020年第13期124卷 130602-130602页

作者： Jie Ren Qiaoyi Li Wei Li Zi Cai Xiaoqun Wang Department of Physics and Jiangsu Laboratory of Advanced Functional Material Changshu Institute of Technology Changshu 215500 China Key Laboratory of Artificial Structures and Quantum Control Department of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 People’s Republic of China School of Physics Key Laboratory of Micro-Nano Measurement-Manipulation and Physics (Ministry of Education) Beihang University Beijing 100191 China Wilczek Quantum Center School of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Beijing Computational Science Research Center Beijing 100193 China Shenyang National Laboratory for Materials Science and T. D. Lee Institute Shanghai Jiao Tong University Shanghai 200240 China

Dynamical universality is the observation that the dynamical properties of different systems might exhibit universal behavior that are independent of the system details. In this Letter, we study the longtime dynamics of a one-dimensional noisy quantum magnetic model, and find that even though the system is inevitably driven to an infinite temperature state, the relaxation dynamics towards such a featureless state can be highly nontrivial and universal. The effect of various mode-coupling mechanisms (external potential, disorder, interaction, and the interplay between them) as well as the conservation law on the longtime dynamics of the systems have been studied, and their relevance with current ultracold atomic experiments has been discussed.

关键词： Dissipative dynamics Dynamical phase transitions Localization

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Global Rice Multi-Class Segmentation Dataset (RiceSEG): A Comprehensive and Diverse High-Resolution RGB-Annotated Images for the Development and Benchmarking of Rice Segmentation Algorithms

arXiv

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arXiv 2025年

作者： Zhou, Junchi Wang, Haozhou Kato, Yoichiro Nampally, Tejasri Rajalakshmi, P. Balram, M. Katsura, Keisuke Lu, Hao Mu, Yue Yang, Wanneng Gao, Yangmingrui Xiao, Feng Chen, Hongtao Chen, Yuhao Li, Wenjuan Wang, Jingwen Yu, Fenghua Zhou, Jian Wang, Wensheng Hu, Xiaochun Yang, Yuanzhu Ding, Yanfeng Guo, Wei Liu, Shouyang Engineering Research Center of Plant Phenotyping Ministry of Education Jiangsu Collaborative Innovation Center for Modern Crop Production Academy for Advanced Interdisciplinary Studies Sanya Institute of Nanjing Agricultural University Nanjing Agricultural University Nanjing China Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan Department of Artificial Intelligence Indian Institute of Technology Hyderabad India Department of Electrical Engineering Indian Institute of Technology Hyderabad India Institute of Biotechnology Professor Jayashankar Telangana Agricultural State University Hyderabad India Graduate School of Agriculture Kyoto University Kyoto Japan Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China National Key Laboratory of Crop Genetic Improvement National Center of Plant Gene Research Hubei Key Laboratory of Agricultural Bioinformatics Huazhong Agricultural University Wuhan China State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China the Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing China Center for Geospatial Information Shenzhen Institutes of Advanced Technology Chinese Academy of Science Shenzhen China School of Information and Electrical Engineering Shenyang Agricultural University Shenyang China Rice Research Institute Jilin Academy of Agricultural Sciences Changchun China Institute of Crop Sciences National Key Facility for Crop Gene Resources and Genetic Improvement Chinese Academy of Agricultural Sciences Beijing China Yuan Long Ping High-Tech Agriculture Co. Ltd. Changsha China

Developing computer vision–based rice phenotyping techniques is crucial for precision field management and accelerating breeding, thereby continuously advancing rice production. Among phenotyping tasks, distinguishing image components is a key prerequisite for characterizing plant growth and development at the organ scale, enabling deeper insights into eco-physiological processes. However, due to the fine structure of rice organs and complex illumination within the canopy, this task remains highly challenging, underscoring the need for a high-quality training dataset. Such datasets are scarce, both due to a lack of large, representative collections of rice field images and the time-intensive nature of annotation. To address this gap, we established the first comprehensive multi-class rice semantic segmentation dataset, RiceSEG. We gathered nearly 50,000 high-resolution, ground-based images from five major rice-growing countries (China, Japan, India, the Philippines, and Tanzania), encompassing over 6,000 genotypes across all growth stages. From these original images, 3,078 representative samples were selected and annotated with six classes (background, green vegetation, senescent vegetation, panicle, weeds, and duckweed) to form the RiceSEG dataset. Notably, the sub-dataset from China spans all major genotypes and rice-growing environments from the northeast to the south. Both state-of-the-art convolutional neural networks and transformer-based semantic segmentation models were used as baselines. While these models perform reasonably well in segmenting background and green vegetation, they face difficulties during the reproductive stage, when canopy structures are more complex and multiple classes are involved. These findings highlight the importance of our dataset for developing specialized segmentation models for rice and other crops. The RiceSEG dataset is publicly available at ***. © 2025, CC BY.

关键词： Semantic Segmentation

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Observation of nonreciprocal magneto-optical scattering in nonencapsulated few-layered CrI3

arXiv

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arXiv 2020年

作者： Guo, Kai Liu, Zhen Hu, Guangwei Shi, Zhongtai Li, Yue Zhang, Linbo Chen, Haiyan Zhang, Li Zhou, Peiheng Lu, Haipeng Lin, Miao-Ling Liu, Sizhao Cheng, Yingchun Liu, Xue Lu Xie, Jianliang Bi, Lei Tan, Ping-Heng Deng, Long jiang Qiu, Cheng-Wei Peng, Bo National Engineering Research Center of Electromagnetic Radiation Control Materials School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore Key Laboratory of Flexible Electronics Institute of Advanced Materials Jiangsu National Synergetic Innovation Center for Advanced Materials Nanjing Tech University Nanjing211816 China State Key Laboratory of Superlattices and Microstructures Institute of Semiconductors Chinese Academy of Sciences P. O. Box 912 Beijing100083 China

"Magneto-optical" effect refers to a rotation of polarization plane, which has been widely studied in traditional ferromagnetic metal and insulator films and scarcely in two-dimensional layered materials. Here we uncover a new nonreciprocal magneto-inelastic light scattering effect in ferromagnetic few-layer CrI3. We observed a rotation of the polarization plane of inelastic light scattering between -20o and +60o that are tunable by an out-of-plane magnetic field from -2.5 to 2.5 T. It is experimentally observed that the degree of polarization can be magnetically manipulated between -20% and 85%. This work raises a new magneto-optical phenomenon and could create opportunities of applying 2D ferromagnetic materials in Raman lasing, topological photonics, and magneto-optical modulator for information transport and storage. © 2020, CC BY-NC-SA.

关键词： Ferromagnetic materials

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