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Hierarchical Nb2o5@Zno Hetero-Branched Nanorods for Enhanced H2s Gas Sensing

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SSRN 2022年

作者： Wu, Tao Tao Zhu, Liyuan Wu, Xue-Yan Miao, Xiao-Yong Mao, Li-Wen Jin, Xuan-Hong Lu, Hong-Liang State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics & Systems School of Microelectronics Fudan University Shanghai 200433 China School of Optical-Electrical & Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China Yiwu Research Institute of Fudan University Chengbei Road Zhejiang Yiwu City322000 China

Hierarchical Nb 2 O 5 @ZnO hetero-branched nanorods used for highly responsive, selective, and stable hydrogen sulfide (H 2 S) sensors were synthesized through a sequential process combining a hydrothermal method, atomic-layer-deposition processing, and modified hydrothermal processing for branching ZnO nanowires. The Nb 2 O 5 @ZnO hetero-branched nanorod sensors exhibited a great response (R a /R g ) of 6.10 towards 20 ppm H 2 S at an optimal working temperature of 400 o C, whose resistance changing rate (~5.10) was 39.2- and 1.9-fold those of Nb 2 O 5 (~0.13) and Nb 2 O 5 @ZnO core-shell nanorod (~2.74) sensors, respectively. The heterojunction formed at the Nb 2 O 5 @ZnO interface and the characteristic reaction between ZnO and H 2 S effectively improved H 2 S sensing performance. Moreover, the branching of ZnO nanowires introduced abundant homojunctions and prominently enlarged the specific surface area, further increasing the response of hetero-branched sensors. Meanwhile, the Nb 2 O 5 @ZnO hetero-branched sensors maintained steady performance over a month, indicating good stability and repeatability. In a word, such hierarchical Nb 2 O 5 @ZnO hetero-branched nanorod gas sensors are promising for the development of sensitive and selective H 2 S detection. © 2022, The Authors. All rights reserved.

关键词： Zinc oxide

Hierarchical compositional ordering in lead-based perovskite relaxors

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Physical Review B 2023年第5期107卷 054101-054101页

作者： Yanxing Zhang Jiale Zhang Nan Zhang Laijun Liu Alexei A. Bokov Zuo-Guang Ye Dawei Wang School of Physics Henan Normal University Xinxiang 453007 China School of Microelectronics & State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University Xi'an 710049 China Key Lab of Micro-Nano Electronics and System Integration of Xi'an City Xi'an Jiaotong University Xi'an 710049 China Electronic Materials Research Laboratory–Key Laboratory of the Ministry of Education and International Center for Dielectric Research Xi' an Jiaotong University Xi'an 710049 China Key Laboratory of Nonferrous Materials and New Processing Technology Ministry of Education College of Materials Science and Engineering Guilin University of Technology Guilin 541004 China Department of Chemistry and 4D LABS Simon Fraser University Burnaby British Columbia Canada V5A 1A6

Lead-based relaxor ferroelectric perovskites with the formula Pb(B1/3B2/3′)O3, such as Pb(Mg1/3Nb2/3)O3, can have different degrees of compositional ordering even for the same stoichiometry. Despite intensive investigation, determining the nature of the B and B′ ordering remains a challenging problem. Here, we reveal a hierarchical ordering in Pb(B1/3B2/3′)O3 on top of the well-known βI and βII sublattices, which is the first level of the proposed hierarchy. Such additional ordering, which is found by considering additional nearest neighboring interactions in the model enriches our understanding of the complex nature of the chemical ordering in lead-based ferroelectric relaxors. In addition, we show that Pb(Cd1/3Nb2/3)O3 has a higher degree of ordering than that of Pb(Mg1/3Nb2/3)O3 or Pb(Zn1/3Nb2/3)O3 in which antiphase domains exist, revealing the possible different degree of compositional ordering arising from intralattice ordering.

关键词： Order parameters Phase transitions Relaxor ferroelectrics Monte Carlo methods

DeepCell: Multiview Representation Learning for Post-Mapping Netlists

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arXiv

arXiv 2025年

作者： Shi, Zhengyuan Ma, Chengyu Zheng, Ziyang Zhou, Lingfeng Pan, Hongyang Jiang, Wentao Yang, Fan Yang, Xiaoyan Chu, Zhufei Xu, Qiang Department of Computer Science and Engineering The Chinese University of Hong Kong Sha Tin Hong Kong Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China School of Computer Science Hangzhou Dianzi University Hangzhou China School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University Shanghai China National Center of Technology Innovation for EDA Nanjing China

Representation learning for post-mapping (PM) netlists is a critical challenge in Electronic Design Automation (EDA), driven by the diverse and complex nature of modern circuit designs. Existing approaches focus on intermediate representations like And-Inverter Graphs (AIGs), limiting their applicability to post-synthesis stages. We introduce DeepCell, a multiview representation learning framework that integrates structural and functional insights from both PM netlists and AIGs to learn rich, generalizable embeddings. At its core, DeepCell employs the novel Mask Circuit Modeling (MCM) mechanism, which refines PM netlist representations in a self-supervised manner using pretrained AIG encoders. DeepCell sets a new benchmark in PM netlist representation, outperforming existing methods in predictive accuracy and reconstruction fidelity. To validate its efficacy, we apply DeepCell to functional Engineering Change Orders (ECO), achieving significant reductions in patch generation costs and runtime while improving patch quality. Copyright © 2025, The Authors. All rights reserved.

关键词： Mapping

Multifunctional Broadband Artificial Visual system Using All-in-One Two-Dimensional Optoelectronic Transistors

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SSRN 2024年

作者： Tan, Feixia Cao, Yi Sang, Weihui Han, Zichao Li, Honghong Wang, Tinghao Songlu, Wenyu Gan, Yang Yu, Yuan Zhang, Xumeng Liu, Tao Xiang, Du State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China School of Microelectronics Fudan University Shanghai China Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Department of Materials Science Fudan University Shanghai China Zhangjiang Fudan International Innovation Center Fudan University Shanghai200433 China

The bio-inspired artificial neuromorphic visual system, which possesses integrated sensing, memory and computing functionalities, is envisioned to demonstrate great potential in overcoming the challenges of data transmission latency and high energy consumption. Huge efforts have been devoted to developing novel hardware devices to achieve the goal under various working mechanisms, which however yield limited success in emulating the full functionalities of the visual system in a single device with simplified configuration. Here, we report an all-in-one visual platform based on a multifunctional MoS2 phototransistor array fabricated on the silicon-rich silicon nitride (sr-SiNx) substrate for in-sensor computing from ultraviolet to near-infrared spectrum. The array exhibits non-volatile optical/electrical programming features through deliberately manipulating the charge storage in the sr-SiNx dielectric, which are analogous to the learning/forgetting processes in the real human visual system. These characteristics enable the integration of broadband image sensing and pre-processing, dynamic learning and noise filtering, and image recognition in a single device. The array achieves high recognition accuracy of 90.2% (98.4%) based on the Fashion MNIST (MNIST) database, suggesting its robust functionalities. These results envision dielectric engineering as a promising approach to realize simplified neuromorphic visual units that integrate all the fundamental functions in the bio-visual system, offering new opportunities for designing innovative neuromorphic hardware. © 2024, The Authors. All rights reserved.

关键词： Image recognition

Efficient thermal dissipation in wafer-scale heterogeneous integration of single-crystalline𝛽β-Ga_(2)O_(3)thin film on SiC

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Fundamental Research 2021年第6期1卷 691-696页

作者： Wenhui Xu Tiangui You Yibo Wang Zhenghao Shen Kang Liu Lianghui Zhang Huarui Sun Ruijie Qian Zhenghua An Fengwen Mu Tadatomo Suga Genquan Han Xin Ou Yue Hao Xi Wang State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China The State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology School of MicroelectronicsXidian UniversityXi’an 710071China School of Science and Ministry of Industry and Information Technology Key Laboratory of Micro-Nano Optoelectronic Information System Harbin Institute of TechnologyShenzhen 518055China Department of Physics State Key Laboratory of Surface PhysicsInstitute of Nanoelectronic Devices and Quantum ComputingFudan UniversityShanghai 200433China High-Frequency High-Voltage Device and Integrated Circuits R&D Center Institute of MicroelectronicsChinese Academy of SciencesBeijing 100029China Collaborative Research Center Meisei UniversityHinoJapan Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China

The semiconductor,β-Ga_(2)O_(3)is attractive for applications in high power electronic devices with low conduction loss due to its ultra-wide bandgap(∼4.9 eV)and large Baliga’s figure of ***,the thermal conductivity of𝛽β-Ga_(2)O_(3)is much lower than that of other wide/ultra-wide bandgap semiconductors,such as SiC and GaN,which results in the deterioration of𝛽β-Ga_(2)O_(3)-based device performance and reliability due to *** overcome this problem,a scalable thermal management strategy was proposed by heterogeneously integrating wafer-scale single-crystalline𝛽β-Ga_(2)O_(3)thin films on a highly thermally conductive SiC *** of the transferred𝛽β-Ga_(2)O_(3)thin film indicated a uniform thickness to within±2.01%,a smooth surface with a roughness of 0.2 nm,and good crystalline quality with an X-ray rocking curves(XRC)full width at half maximum of 80 *** thermoreflectance measurements were employed to investigate the thermal *** thermal performance of the fabricated𝛽β-Ga_(2)O_(3)/SiC heterostructure was effectively improved in comparison with that of the𝛽β-Ga_(2)O_(3)bulk wafer,and the effective thermal boundary resistance could be further reduced to 7.5 m 2 K/GW by a post-annealing *** barrier diodes(SBDs)were fabricated on both a𝛽β-Ga_(2)O_(3)/SiC heterostructured material and a𝛽β-Ga_(2)O_(3)bulk *** thermal imaging revealed the temperature increase of the SBDs on𝛽β-Ga_(2)O_(3)/SiC to be one quarter that on the𝛽β-Ga_(2)O_(3)bulk wafer with the same applied power,which suggests that the combination of the𝛽-Ga_(2)O_(3)thin film and SiC substrate with high thermal conductivity promotes heat dissipation in𝛽β-Ga_(2)O_(3)-based devices.

关键词： Thermal management Heterogeneous integration Wafer scale𝛽β-Ga_(2)O_(3)on SiC Ion-cutting technique Schottky barrier diodes(SBDs) Transient thermoreflectance(TTR) measurements

2D-material-integrated whispering-gallery-mode microcavity

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Photonics Research 2019年第8期7卷 905-916页

作者： LU WANG XUEFEI ZHOU SHUO YANG GAOSHAN HUANG YONGFENG MEI Department of Materials Science and State Key Laboratory of ASIC and System Fudan University

Optical microcavities, which support whispering gallery modes, have attracted tremendous attention in both fundamental research and potential applications. The emerging of two-dimensional materials offers a feasible solution to improve the performance of traditional microcavity-based optical devices. Besides, the integration of two-dimensional materials with microcavities will benefit the research of heterogeneous materials on novel devices in photonics and optoelectronics, which is dominated by the strongly enhanced light–matter *** review focuses on the research of heterogeneous two-dimensional-material whispering-gallery-mode microcavities, opening a myriad of lab-on-chip applications, such as optomechanics, quantum photonics, comb generation, and low-threshold microlasing.

关键词： 2D-material-integrated whispering-gallery-mode microcavity Optical microcavities

Bottom-Up Nucleation Induced Conformal Crystallization For Inverted Ma-Free Perovskite Solar Cells on Textured Substrates

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SSRN 2024年

作者： Liu, Ruochen Xu, Jiawei Hu, Tianxiang Li, Xiang Wang, Kongxiang Huang, Qi Duan, Zhongtao Liu, Hong Qian, Weifan Zhou, Haiting Cong, Chunxiao Yue, Xiaofei Zhang, Hong Xie, Fengxian Institute for Electric Light Sources School of Information Science and Technology Fudan University Shanghai200438 China Department of Materials Science National Engineering Lab for TFT-LCD Materials and Technologies Fudan University Shanghai200433 China Center for Micro Nano Systems School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of ASIC & System School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai200438 China

Utilizing textured fluorine-doped tin oxides (FTO) as transparent conductive oxide (TCO) substrates is advantageous for capturing incident light, thereby enhancing the power photoelectric conversion efficiency (PCE) of inverted perovskite solar cells (PSCs). However, the roughness of these substrates and uncontrolled nucleation often results in voids at the perovskite-buried surface, leading to insufficient charge extraction and serving as degradation initiation points. This study introduces (S)-3-amino-4-(4-chlorophenyl)butyric acid hydrochloride (AbaCl), which binds to FTO through its anchor group (–COOH) at the deficient regions of MeO-4PACz. Moreover, the chlorine end molecules offer active sites for nucleation by forming halogen bonds with undercoordinated iodide ions (I–). AbaCl also interacts with formamidinium (FA+) in perovskite precursor solution via hydrogen bonding, promoting crystallization at the buried interface. Consequently, nucleation at this buried interface becomes preferential, ensuring bottom-up growth and preventing voids formation due to incomplete solvent evaporation, allowing the perovskite layer to conformally adhere to the substrate without gaps. As a result, the AbaCl-treated inverted PSCs achieved a champion PCE of 24.5% and exhibited enhanced operational stability. This work presents a method for conformally growing perovskite films on textured substrates to produce efficient and stable PSCs. © 2024, The Authors. All rights reserved.

关键词： Hydrogen bonds

Mitdcnn: A Multi-Modal Input Transformer-Based Deep Convolutional Neural Network for Misfire Signal Detection in High-Noise Diesel Engines

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SSRN 2023年

作者： Li, Wenjie Liu, Xiangpeng Wang, Danning Lu, Wei Yuan, Bo Qin, Chengjin Cheng, Yuhua Căleanu, Cătălin College of Information Mechanical & Electrical Engineering Shanghai Normal University Shanghai201418 China State Key Laboratory of Mechanical System & Vibration Shanghai Jiao Tong University Shanghai200240 China Shanghai Research Institute of Microelectronics Peking University Shanghai201203 China Department of Applied Electronics Politehnica University Timisoara Timisoara300223 Romania

The accurate detection of faults in diesel engines is crucial for extending their operational lifespan, ensuring safety, and yielding significant economic and societal benefits. However, existing detection methodologies encounter difficulties in the presence of substantial environmental noise and lack generalizability across various operating conditions. Traditional fault diagnosis models also predominantly rely on single data detection schemes, such as one-dimensional data input for anomaly analysis, which may not account for the inherent correlations and distribution discrepancies within the same data source presented in different formats. To tackle these challenges, we proposed a novel multi-modal input Transformer-based convolutional neural network (MITDCNN) for misfire detection in diesel engines under significant environmental noise and diverse working conditions. We collected vibration signals from engine cylinder heads at different speeds and extracted both one-dimensional amplitude vector features and two-dimensional image properties. These features were input into the multi-modal feature extraction network and subsequently processed and identified by the cross-channel feature fusion detection network. Our fusion module incorporated a dual-dimension spatial and channel attention mechanism to suppress vibration noise interference effectively, so that the network is able to counteract the impact of environmental noise and varying operating conditions on the final detection outcomes. We validated the efficacy of the proposed approach through a curated dataset and benchmark comparisons with the established algorithms. Our results demonstrate that MITDCNN's accuracy and noise robustness are notably superior to other available methods. Across four datasets generated under distinct working conditions, our approach achieves a minimum accuracy of 99.008%, even with a signal-to-noise ratio of -4dB, greatly surpassing other methods. © 2023, The Authors. All rights res

关键词： Fault detection

Contactless generation and trapping of hydrodynamic knots in sessile droplets by acoustic screw dislocations

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Research Square

Research Square 2021年

作者： Song, Shuren Zhou, Jia Riaud, Antoine Marcianò, Antonino State Key Laboratory of ASIC and System School of Microelectronics Fudan University Shanghai China Department of Physics Center for Field Theory and Particle Physics Fudan University Shanghai200433 China Laboratori Nazionali di Frascati INFN Via Enrico Fermi 54 Frascati Roma Italy

Hydrodynamics knots are not only promising elementary structures to study mass and momentum transfer in turbulent flows, but also potent analogs for other topological problems arising in particle physics. However, experimental studies of knots are highly challenging due to the limited control over knot generation and difficult observation of the resulting fast-paced multiscale flow evolution. In this paper, we propose using acoustic streaming to tie hydrodynamic knots in fluids. The method is contactless, almost instantaneous and is relatively insensitive to viscosity. Importantly, it allows starting from quite arbitrary three dimensional flow structures without relying on external boundary conditions. We demonstrate our approach by using an acoustic screw dislocation to tie a knot in a sessile droplet. We observe an inversion of the knot chirality (measured by the hydrodynamic helicity) as the topological charge of the screw dislocation is increased. Combined with recent progress in acoustic field synthesis, this work opens a window to study more complex hydrodynamic knot topologies at a broader range of space and timescales. © 2021, CC BY.

关键词： Topology