检索结果-内蒙古大学图书馆

Polarization-induced photocurrent switching effect in heterojunction photodiodes

Nano Research 2023年第4期16卷 5503-5510页

作者： Dingbo Chen Yu-Chang Chen Guang Zeng Yu-Chun Li Xiao-Xi Li Dong Li Chao Shen Nan Chi Boon S.Ooi David Wei Zhang Hong-Liang Lu State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics&SystemsSchool of MicroelectronicsFudan UniversityShanghai 200433China Key Laboratory for Information Science of Electromagnetic Waves Department of Communication Science and EngineeringFudan UniversityShanghai 200433China Photonics Laboratory Division of ComputerElectricaland Mathematical Sciences and EngineeringKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia

The unipolar photocurrent in conventional photodiodes(PDs)based on photovoltaic effect limits the output modes and potential versatility of these devices in *** photodiodes with photocurrent switching are emerging as a promising solution for obtaining photoelectric devices with unique and attractive functions,such as optical logic ***,we design an all-solid-state chip-scale ultraviolet(UV)PD based on a hybrid GaN heterojunction with engineered bipolar polarized electric *** introducing the polarization-induced photocurrent switching effect,the photocurrent direction can be switched in response to the wavelength of incident light at 0 V *** particular,the photocurrent direction exhibits negative when the irradiation wavelength is less than 315 nm,but positive when the wavelength is longer than 315 *** device shows a responsivity of up to−6.7 mA/W at 300 nm and 5.3 mA/W at 340 nm,*** particular,three special logic gates in response to different dual UV light inputs are demonstrated via a single bipolar PD,which may be beneficial for future multifunctional UV photonic integrated devices and systems.

关键词： GaN heterostructure ultraviolet(UV)photodiodes bipolar photocurrent optical logic device

来源：评论

学校读者我要写书评

暂无评论

Construction of mesoporous silica-implanted tungsten oxides for selective acetone gas sensing

引用

Chinese Chemical Letters 2024年第11期35卷 492-498页

作者： Jichun Li Zhengren Wang Yu Deng Hongxiu Yu Yonghui Deng Xiaowei Cheng Kaiping Yuan Department of Chemistry Shanghai Stomatological Hospital&School of StomatologyState Key Laboratory of Molecular Engineering of PolymersShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsiCHEMFudan UniversityShanghai 200433China Frontier Institute of Chip and System State Key Laboratory of ASIC and SystemFudan UniversityShanghai 200433China State Key Lab of Transducer Technology Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050China

As a key biomarker for noninvasive diagnosis of diabetes,the selective detection of trace acetone in exhaled gas using a portable and low-cost device remains a great *** metal oxide(SMO)based gas sensors have drawn signification attention due to their potential in miniaturization,user-friendliness,high cost-effectiveness and selective real-time detection for noninvasive clinical ***,we propose a one-pot solvent evaporation induced tricomponent co-assembly strategy to design a novel ordered mesoporous SMO of silica-implanted WO_(3)(Si O_(2)/WO_(3))as sensing materials for trace acetone *** controlled co-assembly of silicon and tungsten precursors and amphiphilic diblock copolymer poly(ethylene oxide)-block-polystyrene(PEO-b-PS),and the subsequent thermal treatment enable the local lattice disorder of WO_(3)induced by the amorphous silica and the formation of ordered mesoporous Si O_(2)/WO_(3)hybrid walls with a unique metastableε-phase WO_(3)*** obtained mesoporous SiO_(2)/WO_(3)composites possess highly crystalline framework with large uniform pore size(12.0-13.3 nm),high surface area(99-113 m^(2)/g)and pore volume(0.17-0.23 cm^(3)/g).Typically,the asfabricated gas sensor based on mesoporous 2.5%Si O_(2)/WO_(3)exhibits rapid response/recovery rate(5/17 s),superior sensitivity(R_(air)/R_(gas)=105 for 50 ppm acetone),as well as high selectivity towards *** limit of detection is as low as 0.25 ppm,which is considerably lower than the thresh value of acetone concentration(>1.1 ppm)in the exhaled breath of diabetic patients,demonstrating its great prospect in real-time monitoring in diabetes ***,the mesoporous 2.5%Si O_(2)/WO_(3)sensor is integrated into a wireless sensing module connected to a smart phone,providing a convenient real-time detection of acetone.

关键词： Mesoporous materials ε-Tungsten oxide Silica-implanted Acetone sensing Real-time detection

来源：评论

学校读者我要写书评

暂无评论

A Pin Photodetector Based on a RF-SOI Substrate

A Pin Photodetector Based on a RF-SOI Substrate

引用

2022 China Semiconductor Technology International Conference, CSTIC 2022

作者： Chou, J.J. Wan, J. School of Information Science and Engineering Fudan University State Key Lab of Asic and System Shanghai China

ISBN: (数字)9781665497589

ISBN: (纸本)9781665497589

In this work, A lateral PIN diode is fabricated based on the RF-SOI substrate. The diode is further used in UV photodetection and high-speed optical communication. It exhibits excellent linearity under various light intensity. The response spectrum of the photodiode shows UV-enhanced characteristics and its quantum efficiency reaches up to 89% at wavelength of 300nm. Thanks to the RF-SOI substrate which reduces the parasitic capacitance dramatically, the capacitance of the fabricated photodiode is as low as 0.4pF at -1V bias. The demonstrated photodiode based on RF-SOI substrate might be attractive for high speed optical communication system using short wavelength light. © 2022 IEEE.

关键词： Photodiodes

来源：评论

学校读者我要写书评

暂无评论

Towards explainable traffic flow prediction with large language models

引用

communications in Transportation Research 2024年第1期4卷 474-490页

作者： Xusen Guo Qiming Zhang Junyue Jiang Mingxing Peng Meixin Zhu Hao Frank Yang Intelligent Transportation Thrust System HubThe Hong Kong University of Science and Technology(Guangzhou)Guangzhou511400China Department of Civil and System Engineering Johns Hopkins UniversityBaltimore21218USA Guangdong Provincial Key Lab of Integrated Communication Sensing and Computation for Ubiquitous Internet of ThingsGuangzhou511400China

Traffic forecasting is crucial for intelligent transportation *** has experienced significant advancements thanks to the power of deep learning in capturing latent patterns of traffic ***,recent deep-learning architectures require intricate model designs and lack an intuitive understanding of the mapping from input data to predicted *** both accuracy and explainability in traffic prediction models remains a challenge due to the complexity of traffic data and the inherent opacity of deep learning *** tackle these challenges,we propose a traffic flow prediction model based on large language models(LLMs)to generate explainable traffic predictions,named *** transferring multi-modal traffic data into natural language descriptions,xTP-LLM captures complex time-series patterns and external factors from comprehensive traffic *** LLM framework is fine-tuned using language-based instructions to align with spatial-temporal traffic flow ***,xTP-LLM shows competitive accuracy compared with deep learning baselines,while providing an intuitive and reliable explanation for *** study contributes to advancing explainable traffic prediction models and lays a foundation for future exploration of LLM applications in transportation.

关键词： Traffic flow predictionLarge language models Spatial-temporal prediction Explainability

来源：评论

学校读者我要写书评

暂无评论

Efficient Model-Based OPC via Graph Neural Network

Efficient Model-Based OPC via Graph Neural Network

引用

2023 International Symposium of Electronics Design Automation, ISEDA 2023

作者： Sun, Shuyuan Chen, Xuelian Yang, Fan Yu, Bei Li, Shang Zeng, Xuan School of Microelectronics Fudan University State Key Lab of ASIC and System China Cogenda Inc China The Chinese University of Hong Kong Department of Computer Science and Engineering Hong Kong

ISBN: (纸本)9798350304510

As feature size continues to shrink and light source wavelengths remain unchanged, the optical diffraction effects seriously degrade chip yield. Optical proximity correction (OPC) has become an essential step for chip manufacturability. However, OPC cannot achieve satisfactory mask correction results in an affordable number of iterations on some layouts, delaying the chip design cycle. In this paper, we propose to use the Graph Neural Network (GNN) to predict the initial mask correction and speed up model-based OPC. We design a graph model to represent the chip layout, with segments represented as graph nodes and the diffraction effects between them represented as graph edges. The GNN is used to obtain the embedding of the segment, and we predict the shift value based on its output. The proposed GNN-based predictor enhances the original OPC to find a good correction solution for full-chip-size masks in fewer iterations. compared with the original OPC method, experimental results on 55nm and 32nm full chip designs show that the proposed GNN-based OPC method reduces the number of iterations up to 75% and the acquired mask of comparable quality. © 2023 IEEE.

关键词： Diffraction

来源：评论

学校读者我要写书评

暂无评论

A Gaussian Rocess and Multi-Swarm Optimizer Assisted Optimization Approach for Analog Circuit Design

A Gaussian Rocess and Multi-Swarm Optimizer Assisted Optimiz...

引用

2022 China Semiconductor Technology International Conference, CSTIC 2022

作者： Fu, Xu Yan, Changhao Zhou, Dian Zeng, Xuan Fudan University State Key Lab of Asic & System Shanghai201203 China University of Texas Department of Electrical Engineering DallasTX United States

ISBN: (数字)9781665497589

ISBN: (纸本)9781665497589

In this paper, we propose an analog circuit synthesis approach that consists of a Gaussian process and niching migratory multi-swarm optimizer assisted differential evolution algorithm. Instead of building an artificial neural network (ANN) to perform a local minimum search by sampling a large number of samples in the local area, we use samples simulated before to build a Gaussian process model and combine the Gaussian process model and niching migratory multi-swarm optimizer to exploit the local area. The weighted expected improvement function is selected as the criterion to judge which point is more worthy of simulation. Compared to the ANN assisted optimization system, our proposed method reduces the simulation time by up to 15×. © 2022 IEEE.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Versatile core-shell magnetic fluorescent mesoporous microspheres for multilevel latent fingerprints magneto-optic information recognition

引用

InfoMat 2022年第5期4卷 152-163页

作者： Bingjie Yu Shude Liu Wenhe Xie Panpan Pan Peng Zhou Yidong Zou Qin Yue Yonghui Deng Department of Chemistry Department of Gastroenterology and HepatologyZhongshan HospitalState Key Laboratory of Molecular Engineering of PolymersShanghai Key Laboratory of Molecular Catalysis and Innovative MaterialsFudan UniversityShanghaiChina State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghaiChina Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengduChina

Latent fingerprints are extremely vital for personal identification and criminalinvestigation,and potential information recognition techniques have been widelyused in the fields of information and communication *** physicalpowder dusting methods have been frequently employed to develop latent fingerprintsand most of them are carried out by using single component powders ofmicron-sized fluorescent particles,magnetic powders,or metal particles,there isstill an enormous challenge in producing high-resolution image of latent fingerprintsat different backgrounds or ***,a novel and effectivenanoimpregnation method is developed to synthesize bifunctional magnetic fluorescentmesoporous microspheres for latent fingerprints visualization by growthof mesoporous silica(mesoSiO_(2))on magical Fe_(3)O_(4) core and then deposition offluorescent YVO4:Eu^(3+)nanoparticles in the *** obtainedFe_(3)O_(4)@mesoSiO_(2)@YVO4:Eu^(3+)microspheres possess spatially isolated magneticcore and fluorescent shell which were insulated by mesoporous silica *** their small particle size of submicrometer scale,high magnetization and lowmagnetic remanence as well as the combined magnetic and fluorescent properties,the microspheres show superior performance in visual latent fingerprint recognitionwith high contrast,high anti-interference,and sensitivity as well as goodretention on multifarious substrates regardless of surface permeability,roughness,refraction,colorfulness,and background fluorescence interference,and it makesthem ideal candidates for practical application in fingerprint visualization andeven magneto-optic information storage.

关键词： core-shell structure fluorescent materials latent fingerprint magnetic microspheres magneto-optic information recognition

来源：评论

学校读者我要写书评

暂无评论

Subgraph matching-based reference placement for printed circuit board designs

引用

The Journal of Supercomputing 2024年第16期80卷 24324-24357页

作者： Zhu, Ziran Li, Yilin Su, Miaodi Zhang, Shu Su, Haiyuan Xiao, Yifeng He, Huan Chen, Jianli Chang, Yao-Wen National ASIC System Engineering Center Southeast University Nanjing China College of Mathematics and Computer Science Fuzhou University Fuzhou China Department of Electrical Engineering University of Southern California Los Angeles USA Hangzhou Huawei Enterprises Telecommunication Technologies Co. Ltd Hangzhou China State Key Lab of ASIC and System Fudan University Shanghai China Graduate Institute of Electronics Engineering National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

Reference placement is promising to handle the increasing complexity in printed circuit board (PCB) designs, which aims to find the isomorphism of the placed template in component combination to reuse the placement. In this paper, we convert the netlist information into a graph and then model the reference placement as a subgraph matching problem. Since the state-of-the-art subgraph matching methods usually recursively search the solutions and suffer from high time and memory consumption in large-scale designs, we develop a novel subgraph matching algorithm D2BS with diversity tolerance and improved backtracking to guarantee matching quality and efficiency. The D2BS algorithm is founded on a data structure called the candidate space (CS) structure. We build and filter the candidate set for each query node according to our designed features to construct the CS structure. During the CS optimization process, a graph diversity tolerance strategy is adopted to achieve efficient inexact matching. Then, hierarchical matching is developed to search the template embeddings in the CS structure guided by branch backtracking and matched-node snatching strategies. Based on the industrial PCB designs, experimental results show that D2BS outperforms the state-of-the-art subgraph matching method in matching accuracy and running time.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Efficient Model-Based OPC via Graph Neural Network

Efficient Model-Based OPC via Graph Neural Network

引用

Electronics Design Automation (ISEDA), International Symposium of

作者： Shuyuan Sun Xuelian Chen Fan Yang Bei Yu Shang Li Xuan Zeng State Key Lab of ASIC & System School of Microelectronics Fudan University China Cogenda Inc China Department of Computer Science and Engineering The Chinese University of Hong Kong China

关键词：

来源：评论

学校读者我要写书评

暂无评论

Developing High Confinement and Low-loss Silicon Nitride Photonic Devices for Optical Coherence Tomography (Invited)

Developing High Confinement and Low-loss Silicon Nitride Pho...

引用

Novel Techniques in Microscopy, NTM 2023 - Part of Optica Biophotonics Congress: Optics in the Life sciences 2023

作者： Ji, Xingchen Chen, Junzhuo Ling, Yuye Su, Yikai John Hopcroft Center for Computer Science School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China State Key Lab of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China

There is a surging interest in developing integrated Optical Coherence Tomography (OCT) system. However, most components are based on silicon which cannot be used for wavelength below 1.2 µm. Here, we discuss the... 详细信息

ISBN: (纸本)9781957171210

关键词： Breast cancer imaging Frequency combs Optical coherence tomography Optical imaging Photonic devices Supercontinuum sources

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：