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arXiv 2025年

作者： Li, Jiaheng Li, Donghe Yang, Ye Xi, Huan Xiao, Yu Sun, Li An, Dou Yang, Qingyu School of Automation Science and Engineering Xi’an Jiaotong University Shaanxi 710049 China School of Electronic Information Engineering Shanghai Dianji University 300 Shuihua Road Pudong New District Shanghai201306 China Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education School of Energy and Power Engineering Xi’an Jiaotong University Shaanxi 710049 China Postdoc in Electrical Engineering Eindhoven University of Technology Eindhoven5600 MB Netherlands School of Microelectronics Xi’an Jiaotong University Shaanxi 710049 China State Key Laboratory for Manufacturing System Engineering Lab Xi’an Jiaotong University Shaanxi 710049 China

The growing penetration of renewable energy sources in power systems has increased the complexity and uncertainty of load forecasting, especially for integrated energy systems with multiple energy carriers. Traditional forecasting methods heavily rely on historical data and exhibit limited transferability across different scenarios, posing significant challenges for emerging applications in smart grids and energy internet. This paper proposes the TSLLM-Load Forecasting Mechanism, a novel zero-shot load forecasting framework based on large language models (LLMs) to address these challenges. The framework consists of three key components: a data preprocessing module that handles multi-source energy load data, a time series prompt generation module that bridges the semantic gap between energy data and LLMs through multi-task learning and similarity alignment, and a prediction module that leverages pre-trained LLMs for accurate forecasting. The framework’s effectiveness was validated on a real-world dataset comprising load profiles from 20 Australian solar-powered households, demonstrating superior performance in both conventional and zero-shot scenarios. In conventional testing, our method achieved a Mean Squared Error (MSE) of 0.4163 and a Mean Absolute Error (MAE) of 0.3760, outperforming existing approaches by at least 8%. In zero-shot prediction experiments across 19 households, the framework maintained consistent accuracy with a total MSE of 11.2712 and MAE of 7.6709, showing at least 12% improvement over current methods. The results validate the framework’s potential for accurate and transferable load forecasting in integrated energy systems, particularly beneficial for renewable energy integration and smart grid applications. Copyright © 2025, The Authors. All rights reserved.

关键词： Zero-shot learning

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Tunable narrow-band single-channel add-drop integrated optical filter with ultrawide FSR

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PhotoniX 2022年第1期3卷 312-323页

作者： Chunlei Sun Yuexin Yin Zequn Chen Yuting Ye Ye Luo Hui Ma Lichun Wang Maoliang Wei Jialing Jian Renjie Tang Hao Dai Jianghong Wu Junying Li Daming Zhang Hongtao Lin Lan Li Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of EngineeringWestlake UniversityHangzhou 310024China Institute of Advanced Technology Westlake Institute for Advanced StudyHangzhou 310024China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin University2699 Qianjin StreetChangchun 130012China Key Laboratory of Micro-Nano Electronics and Smart System of Zhejiang Province College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China School of Microelectronics Zhejiang UniversityHangzhou 310027China.

Free-spectral-range(FSR)-free optical filters have always been a critical challenge for photonic integrated circuits.A high-performance FSR-free filter is highly desired for communication,spectroscopy,and sensing *** significant progress in integrated optical filters,the FSR-free filter with a tunable narrow-band,high out-of-band rejection,and large fabrication tolerance has rarely been *** this paper,we propose an exact and robust design method for add-drop filters(ADFs)with an FSR-free operation capability,a sub-nanometer optical bandwidth,and a high out-of-band rejection(OBR)*** achieved filter has a 3-dB bandwidth of<0.5 nm and an OBR ratio of 21.5 dB within a large waveband of 220 nm,which to the best of our knowledge,is the largest-FSR ADF demonstrated on a silicon photonic *** filter exhibits large tunability of 12.3 nm with a heating efficiency of 97 pm/mW and maintains the FSR-free feature in the whole tuning *** addition,we fabri-cated a series of ADFs with different periods,which all showed reliable and excellent performances.

关键词： Integrated devices Silicon photonics Optical filters FSR-free filters Tunable filters

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CSMCNet: Scalable video compressive sensing reconstruction with interpretable motion estimation

arXiv

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arXiv 2021年

作者： Huang, Bowen Yan, Xiao Zhou, Jinjia Fan, Yibo The State Key Laboratory of ASIC and System Fudan University Shanghai200433 China The Graduate School of Science and Engineering Hosei University Tokyo184-8584 Japan

Most deep network methods for compressive sensing reconstruction suffer from the black-box characteristic of DNN. In this paper, a deep neural network with interpretable motion estimation named CSMCNet is proposed. The network is able to realize high-quality reconstruction of video compressive sensing by unfolding the iterative steps of optimization based algorithms. A DNN based, multi-hypothesis motion estimation module is designed to improve the reconstruction quality, and a residual module is employed to further narrow down the gap between reconstruction results and original signal in our proposed method. Besides, we propose an interpolation module with corresponding training strategy to realize scalable CS reconstruction, which is capable of using the same model to decode various compression ratios. Experiments show that a PSNR of 29.34dB can be achieved at 2% CS ratio (compressed by 98%), which is superior than other state-of-the-art methods. Moreover, the interpolation module is proved to be effective, with significant cost saving and acceptable performance losses. © 2021, CC BY.

关键词： Compressed sensing

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A Matching Based Escape Routing Algorithm with Variable Design Rules and Constraints 23

A Matching Based Escape Routing Algorithm with Variable Desi...

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Proceedings of the 60th Annual ACM/IEEE Design Automation Conference

作者： Qinghai Liu Disi Lin Chuandong Chen Huan He Jianli Chen Yao-Wen Chang Center for Discrete Mathematics Fuzhou University Fuzhou China and Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou Fujian China Department of Microelectronics Fuzhou University Fuzhou China Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou China State Key Lab of ASIC & System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan and Department of Electrical Engineering National Taiwan University Taipei Taiwan

ISBN: (纸本)9798350323481

Escape routing is a critical problem in PCB routing, and its quality greatly affects the PCB design cost. Unlike the traditional escape routing that works mainly for the BGA package with unique line width and space, this paper presents a high-performance escape routing algorithm to handle problems with variable design rules and manual constraints, including variable line widths/spaces, the neck mode of wires, and the pad entry for differential pairs. We first propose a novel obstacle-avoiding method to project pins to the boundary and construct a channel projection graph. We then construct a bi-projection graph and propose a matching-based hierarchical sequencing algorithm to consider manual constraints. We perform global routing for each pin/differential pair by congestion-avoiding path initialization and rip-up and reroute path optimization. Finally, we complete detailed routing in every face, ensuring the wire angle and pad entry constraints. Experimental results show that our algorithm can achieve 100% routability without any design rule violation for all given industrial PCB instances, while two state-of-the-art routers cannot complete routing.

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A High Linearity TH circuit for 1GHz Pipeline ADC in 65nm CMOS 15

A High Linearity TH circuit for 1GHz Pipeline ADC in 65nm CM...

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15th IEEE International Conference on Solid-state and Integrated Circuit Technology, ICSICT 2020

作者： Wu, H.J. Zeng, Y.P. Xing, X.L. Lin, N. Li, Q. Fudan Microelectronics Co. Ltd Shanghai200433 China No.58 China Electronic Technology Group Corporation Wuxi214035 China State Key Laboratory of Asic and System Fudan University Shanghai200433 China

ISBN: (纸本)9781728162355

A 3.3/2.5V/1.2V high linearity track-And-hold (TH) circuit for 1GHz Pipeline analog to digital converter (ADC) in 65nm CMOS is implemented. It includes the two input buffer with source follower, bias and common mode voltage and generated part, input-impedance matching network and SPI part. Input-impedance matching network include a 50-O /100-O /200-O resistor controlled with SPI. The simulated results show that the SFDR and SNDR of the input buffer can get 89dB and 88dB, respectively. The power consumption is 158mW with typical 3.3V/2.5V/1.2V supply. © 2020 IEEE.

关键词： Pipelines

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Tunable plasmons in large area WTe2 thin films

arXiv

引用

arXiv 2021年

作者： Wang, Chong Sun, Yangye Huang, Shenyang Xing, Qiaoxia Zhang, Guowei Song, Chaoyu Wang, Fanjie Xie, Yuangang Lei, Yuchen Sun, Zhengzong Yan, Hugen State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Fudan University Shanghai200433 China School of Microelectronics State Key Laboratory of ASIC and System Fudan University Shanghai200433 China Institute of Flexible Electronics Northwestern Polytechnical University Xi’an710072 China

The observation of the electrically tunable and highly confined plasmons in graphene has stimulated the exploration of interesting properties of plasmons in other two dimensional materials. Recently, hyperbolic plasmon resonance modes are observed in exfoliated WTe2 films, a type-II Weyl semimetal with layered structure, providing a platform for the assembly of plasmons with hyperbolicity and exotic topological properties. However, the plasmon modes were observed in relatively thick and small-area films, which restrict the tunability and application for plasmons. Here, large-area (~ cm) WTe2 films with different thickness are grown by chemical vapor deposition method, in which plasmon resonance modes are observed in films with different thickness down to about 8 nm. Hybridization of plasmon and surface polar phonons of the substrate is revealed by mapping the plasmon dispersion. The plasmon frequency is demonstrated to be tunable by changing the temperature and film thickness. Our results facilitate the development of a tunable and scalable WTe2 plasmonic system for revealing topological properties and towards various applications in sensing, imaging and light modulation. © 2021, CC BY.

关键词： Chemical vapor deposition

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Hybrid Films Constructed by Carbon Nanotubes and Carbon Nanocoils as Current Collectors for Lithium-Ion Batteries

SSRN

引用

SSRN 2022年

作者： Chen, Huan Zhao, Yongpeng Zhao, Huitong Huang, Hui Wen, Ningxuan Wang, Chen Fan, Zeng Hao, Liang Pan, Lujun School of Microelectronics Dalian University of Technology Liaoning Dalian116024 China Key Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education School of Energy and Power Engineering Dalian University of Technology Liaoning Dalian116024 China School of Physics Dalian University of Technology Liaoning Dalian116024 China State Key Laboratory of ASIC and Systems School of Microelectronics Fudan University Shanghai200433 China College of Mechanical and Electrical Engineering Sichuan Agricultural University Ya'an625000 China

Lithium-ion batteries (LIBs) have attracted extensive attention in many fields but are still limited in application by capacity loss under long cycles. The poor contact between the current collector (CC) and active materials is one of the reasons that cause the energy attenuation of LIBs during long-term use. Herein, hybrid films constructed by mixing carbon nanotubes (CNTs) and carbon nanocoils (CNCs) through a simple vacuum filtration method are used as CCs for LIBs. It is found that the LIB using the film with a mass ratio of CNTs : CNCs = 3:1 shows the best performance, exhibiting a high capacity of 135.7 mAh g-1 at 5C, and stable cycling performance (>99% capacity retention) after 500 charge/discharge cycles at 1C. The excellent contact of active materials with the CNT-CNC hybrid film is achieved by the well-constructed CNC skeleton, making the CNTs more dispersed to form a uniform and interconnected structure. This work certifies that the CNT-CNC hybrid films are a promising candidate as CCs for high-performance LIBs. © 2022, The Authors. All rights reserved.

关键词： Carbon nanotubes

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Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors 13

Cogging Force Identification Based on Self-Adaptive Hybrid S...

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13th International Symposium on Linear Drives for Industry Applications, LDIA 2021

作者： Fu, Xuewei Ding, Chenyang Zanchetta, Pericle Yang, Xiaofeng Tang, Mi Liu, Yang State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China Academy for Engineering and Technology Fudan University Shanghai China Department of Electrical and Electronic Engineering University of Nottingham Nottingham United Kingdom Department of Electrical University of Pavia Pavia Italy Power Electronics Machine and Control Group University of Nottingham Nottingham United Kingdom Center of Ultra-Precision Optoelectronic Instrument Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781728172101

The cogging force arising due to the strong attraction forces between the iron core and the permanent magnets, is a common inherent property of the linear motors, which significantly affects the control performance. Therefore, significant research efforts have been devoted to the compensation of the cogging force. In this paper, an identification approach based on the radial basis function neural network (RBFNN) is proposed to obtain an accurate model of the cogging force. A self-adaptive hybrid self-learning teaching-learning-based optimization (SHSLTLBO) method is utilized to train the neural network. Finally, the experimental results confirm the effectiveness and the superiority of the proposed cogging force identification method. © 2021 IEEE

关键词： Radial basis function networks

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A Photoelectric-Stimulated MoS_(2) Transistor for Neuromorphic Engineering

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Research 2019年第1期2019卷 273-282页

作者： Shuiyuan Wang Xiang Hou Lan Liu Jingyu Li Yuwei Shan Shiwei Wu David Wei Zhang Peng Zhou ASIC&System State Key Lab. School of MicroelectronicsFudan UniversityShanghai 200433China Department of Physics State Key Laboratory of Surface PhysicsKey Laboratory of Micro and Nano Photonic Structures(Ministry of Education)and Institute for Nanoelectronic Devices and Quantum ComputingFudan UniversityShanghai 200433China

The von Neumann bottleneck has spawned the rapid expansion of neuromorphic engineering and brain-like *** serve as bridges for information transmission and connection in the biological nervous *** direct implementation of neural networks may depend on novel materials and devices that mimic natural neuronal and synaptic *** exploiting the interfacial effects between MoS_(2) and AlOx,we demonstrate that an h-BN-encapsulated MoS_(2) artificial synapse transistor can mimic the basic synaptic behaviors,including EPSC,PPF,LTP,and *** optoelectronic spikes enable simulation of synaptic gain,frequency,and weight *** Pavlov classical conditioning experiment was successfully simulated by electrical tuning,showing associated learning *** addition,h-BN encapsulation effectively improves the environmental time stability of our *** h-BN-encapsulated MoS_(2) artificial synapse provides a new paradigm for hardware implementation of neuromorphic engineering.

关键词： tuning optoelectronic artificial

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The consistent behavior of negative Poisson's ratio with interlayer interactions

arXiv

引用

arXiv 2022年

作者： Wang, Yancong Yu, Linfeng Zhang, Fa Chen, Qiang Zhan, Yuqi Zheng, Xiong Wang, Huimin Qin, Zhenzhen Qin, Guangzhao State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Hunan Key Laboratory for Micro-Nano Energy Materials & Device School of Physics and Optoelectronics Xiangtan University Hunan Xiangtan411105 China School of Physics and Microelectronics Zhengzhou University Zhengzhou450001 China

Negative Poisson's ratio (NPR) is of great interest due to the novel applications in lots of fields. Films are the most commonly used form in practical applications, which involves multiple layers. However, the effect of interlayer interactions on the NPR is still unclear. In this study, based on first principles calculations, we systematically investigate the effect of interlayer interactions on the NPR by comparably studying single-layer graphene, few-layer graphene, h-BN, and graphene-BN heterostructure. It is found that they almost have the same geometry-strain response. Consequently, the NPR in bilayer graphene, triple-layer graphene, and graphene-BN heterostructure are consistent with that in single-layer graphene and h-BN. The fundamental mechanism lies in that the response to strain of the orbital coupling are consistent under the effect of interlayer interactions. The deep understanding of the NPR with the effect of interlayer interactions as achieved in this study is beneficial for the future design and development of micro-/nanoscale electromechanical devices with novel functions based on nanostructures. © 2022, CC BY-NC-SA.

关键词： Graphene

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