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Propagating subduction initiation of the Caroline Plate at the Mussau Trench

science China Earth sciences 2025年第1期68卷 253-269页

作者： Chun-Feng LI Yongkang DENG Tao WU Dongdong DONG Guoliang ZHANG Jiazheng ZHANG Yutao LIU Yaqing LI Fugui TANG Lulu ZHANG Department of Marine Sciences Zhejiang UniversityZhoushan316021China Laboratory of Marine Mineral Resources Laoshan LaboratoryQingdao266237China Key Lab of Marine Geology and Environment Institute of OceanologyChinese Academy of SciencesQingdao266071China Key Lab of Ocean and Marginal Sea Geology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou510301China Science&Technology on Integrated Information System Lab Institute of SoftwareChinese Academy of SciencesBeijing100190China

New seismic imaging from the Mussau Trench confirms that,under horizontal compression on an oceanic plate boundary,it is within the young and weak oceanic plate that a trench will develop,and it is the young plate,not so long after its birth,that starts to subduct toward the old *** Mesozoic Pacific Plate cannot easily bend,under the joint horizontal compression and vertical gravity pull,even with a pre-existing weak zone in place and with a large age offset across the plate *** bending of the Caroline Plate near the northern end of the Mussau Trench started only after a long-time span of trench migration,and/or after a prolonged transition from initial compression to trench *** contrasting trench deformation and sedimentary accretion between two parallel seismic sections support an evident migration of underthrusting or significant longitudinal heterogeneity along the *** swift transition from underthrusting to non-thrusting can be explained by a counter-clockwise rotation of the Caroline *** miniature accretionary wedges develop even before the subduction initiates imply strong compression and uplifting before the underthrusting can *** of the Caroline Plate have been halted as the Mussau Trench is seismically rather quiet and the Lyra Trough to the east shows relaxational extension.

关键词： Mussau Trench Subduction initiation Seismic reflection Caroline Plate

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A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cell and MBIST at 4-Kelvin 21

A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cel...

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21st International system-on-Chip Design Conference, ISOCC 2024

作者： Zheng, Jiapei Nie, Xinkai Zhi, Zhenghang Tang, Zhidong Liu, Qi Kou, Xufeng Chen, Chixiao Fudan University State Key Lab of Integrated Chips and Systems Frontier Institute of Chip and System Shanghai China ShanghaiTech University School of Information Science and Technology Shanghai China

ISBN: (纸本)9798350377088

Quantum error correction is essential for achieving large-scale quantum computing. Large-scale quantum state detection requires low-power embedded memory that can operate at 4K. Embedded Dynamic Random Access Memory is a strong candidate for cryogenic memory, offering high density and low power consumption. In this paper, we propose a cryogenic eDRAM using a 28nm CMOS process, which utilizes a 3T1C gain cell structure. Considering the short lifespan of the readout data, the refresh function of eDRAM is eliminated. Additionally, it integrates Memory Built-In Self-Test circuits for various testing purposes. We measured the performance of the eDRAM at 4K and achieved a read power of 4.9fJ/b and a write power of 15.9fJ/b. The median retention time reached 4.8ms, and the bandwidth reached 61.4Gb/s. © 2024 IEEE.

关键词： Quantum computers

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Vacancy-modified bimetallic FeMoS_(x)/CoNiP_(x) heterostructure array for efficient seawater splitting and Zn-air battery

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Journal of Energy Chemistry 2023年第6期81卷 533-542,I0012页

作者： Ansheng Wang Shan Gao Jiaguo Yan Chunning Zhao Meng Yu Weichao Wang Integrated Circuits and Smart System Lab(Shenzhen) Renewable Energy Conversion and Storage CenterTianjin Key Laboratory of Photo-Electronic Thin Film Device and TechnologyCollege of Electronic Information and Optical EngineeringNankai UniversityTianjin 300071China Department of Physical Science and Technology Ningbo UniversityNingbo 315211ZhejiangChina Division of Oilfield Chemicals China Oilfield Services LimitedTianjin 300452China

The development of highly efficient OER catalysts with superior durability for seawater electrolysis and Zn-air battery is important but ***,the vacancy-modified heterostructured bimetallic Fe Mo S_(x)/Co Ni P_(x)OER electrocatalyst is *** from the electron redistribution and reaction kinetics modulation resulting from vacancy introduction and heterojunction formation,it yields ultralow OER overpotentials of 196,276,303 m V in 1 M KOH and 197,318,348 m V in 1 M KOH+seawater at 10,500,1000 m A cm^(-2),respectively,surviving 600 h at 800 m A cm^(-2)without obvious ***,FeMoS_(x)/CoNiP_(x)-based Zn-air battery not only affords the high peak power density of 214.5 m W cm^(-2)but also exhibits the small voltage gap of 0.698 V and long lifetime of 500 h at 10 m A cm^(-2),overmatching overwhelming majority of reported advanced *** is revealed experimentally that the OER process on rationally designed Fe Mo S_(x)/Co Ni P_(x)follows the adsorbate evolution mechanism and the ratedetermining step shifts from^(*)OOH formation in individual building blocks to^(*)OOH deprotonation process in FeMoS_(x)/CoNiP_(x),providing the directly proof of how the vacancy introduction and heterojunction formation affect the reaction kinetics.

关键词： Vacancy Heterojunction Oxygen evolution reaction Seawater splitting Zn-air battery

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人工道德基础器件:模拟道德逻辑的晶体管

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science China Materials 2024年第2期67卷 608-618页

作者：陈绍敏俞礽坚邹浥于希鹏刘常飞胡袁源郭太良陈惠鹏 Institute of Optoelectronic Display National&Local United Engineering Lab of Flat Panel Display TechnologyFuzhou UniversityFuzhou 350002China Department of Information Engineering Zhicheng CollegeFuzhou UniversityFuzhou 350002China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350100China College of Semiconductors(College of Integrated Circuits) Hunan UniversityChangsha 410082China

日益先进的人工智能在生活中的广泛应用,促进了人工道德问题的产生.机器人的人工伦理的建立和实施通常是通过被动程序指令解决的,而在硬件层面的主动实现仍然具有挑战性.在这里,受认知心理学和神经生理学的启发,我们展示了一种典型的人... 详细信息

日益先进的人工智能在生活中的广泛应用,促进了人工道德问题的产生.机器人的人工伦理的建立和实施通常是通过被动程序指令解决的,而在硬件层面的主动实现仍然具有挑战性.在这里,受认知心理学和神经生理学的启发,我们展示了一种典型的人工道德器件.通过判断善恶和解决道德困境,器件实现了机器人三定律中的第一定律.器件展示了自我、本我和超我三种状态,以及绝对命令、本能漠视、本能冲动、道德义务论、功利主义和利己主义等六种人性.道德的起源在电子学方面得到了揭示,这是潜意识和意识之间的对抗性协作.这项工作为未来人工智能的意识产生和道德形成提供了一条可行的道路.

关键词： artificial morality neuromorphic device transistor three laws of robotics subconsciousness

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Memristor-based in-situ convolutional strategy for accurate braille recognition

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science China Materials 2024年第12期67卷 3986-3993页

作者： Xianghong Zhang Congyao Qin Wenhong Peng Ningpu Qin Enping Cheng Jianxin Wu Yuyang Fan Qian Yang Huipeng Chen Institute of Optoelectronic Display National&Local United Engineering Lab of Flat Panel Display TechnologyFuzhou UniversityFuzhou 350002China Zhicheng College Fuzhou UniversityFuzhou 350002China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350100China State Key Laboratory of ASIC and System School of MicroelectronicsFudan UniversityShanghai 200433China

Signal processing has entered the era of big data,and improving processing efficiency becomes *** computing architectures face computational efficiency limitations due to the separation of storage and *** circuits based on multi-conductor devices enable full hardware convolutional neural networks(CNNs),which hold great potential to improve computational ***,when processing large-scale convolutional computations,there is still a significant amount of device redundancy,resulting in low computational power consumption and high computational ***,we innovatively propose a memristor-based in-situ convolutional strategy,which uses the dynamic changes in the conductive wire,doping area,and polarization area of memristors as the process of convolutional operations,and uses the time required for conductance switching of a single device as the computation result,embodying convolutional computation through the unique spiked digital signal of the *** strategy reasonably encodes complex analog signals into simple digital signals through a memristor,completing the convolutional computation at the device level,which is essential for complex signal processing and computational efficiency *** on the implementation of device-level convolutional computing,we have achieved feature recognition and noise filtering for braille *** believe that our successful implementation of convolutional computing at the device level will promote the construction of complex CNNs with large-scale convolutional computing capabilities,bringing innovation and development to the field of neuromorphic computing.

关键词： convolutional computing multi-conductor memristor conductive filaments

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A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cell and MBIST at 4-Kelvin

A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cel...

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International SoC Design Conference, ISOCC

作者： Jiapei Zheng Xinkai Nie Zhenghang Zhi Zhidong Tang Qi Liu Xufeng Kou Chixiao Chen State Key Lab of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China School of Information Science and Technology ShanghaiTech University Shanghai China

ISBN: (数字)9798350377088

ISBN: (纸本)9798350377095

关键词： Digital control Quantum computing Power measurement Power demand Memory management Layout Random access memory Cryogenics Quantum state Error correction

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Improving Smart Contract Security with Contrastive Learning-Based Vulnerability Detection

Improving Smart Contract Security with Contrastive Learning-...

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International Conference on Software Engineering (ICSE)

作者： Yizhou Chen Zeyu Sun Zhihao Gong Dan Hao Key Lab of HCST (PKU) MOE School of Computer Science Peking University Beijing China Science & Technology on Integrated Information System Laboratory Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (数字)9798400702174

ISBN: (纸本)9798350382143

Currently, smart contract vulnerabilities (SCVs) have emerged as a major factor threatening the transaction security of blockchain. Existing state-of-the-art methods rely on deep learning to mitigate this threat. They treat each input contract as an independent entity and feed it into a deep learning model to learn vulnerability patterns by fitting vulnerability labels. It is a pity that they disregard the correlation between contracts, failing to consider the commonalities between contracts of the same type and the differences among contracts of different types. As a result, the performance of these methods falls short of the desired level. To tackle this problem, we propose a novel Contrastive Learning Enhanced Automated Recognition Approach for Smart Contract Vulnerabilities, named Clear. In particular, Clear employs a con-trastive learning (CL) model to capture the fine-grained correlation information among contracts and generates correlation labels based on the relationships between contracts to guide the training pro-cess of the CL model. Finally, it combines the correlation and the semantic information of the contract to detect SCVs. Through an empirical evaluation of a large-scale real-world dataset of over 40K smart contracts and compare 13 state-of-the-art baseline methods. We show that Clear achieves (1) optimal performance over all base-line methods; (2) 9.73%-39.99% higher F1-score than existing deep learning methods.

关键词： Deep learning Training Correlation Smart contracts Semantics Fitting Blockchains

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A PMOS-Based Deep Cryogenic CMOS Temperature Sensor Achieving a Range from 10K to 410K with a Relative Inaccuracy of 0.5% (3σ)

A PMOS-Based Deep Cryogenic CMOS Temperature Sensor Achievin...

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Custom integrated Circuits Conference (CICC)

作者： Xingyu Qi Yingzhe Sha Xufeng Kou Xiaoyong Xue Peng Wang Zhangcheng Huang Qi Liu Ming Liu State Key Lab of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai China School of Information Science and Technology Shanghaitech University Shanghai China Chinese Academy of Sciences Shanghai Institute of Technical Physics Shanghai China

ISBN: (数字)9798331517458

ISBN: (纸本)9798331517465

integrated circuit chips, such as controllers for superconducting quantum computing and readout circuits for infrared astronomical detectors, need to operate in the cryogenic temperature region of liquid nitrogen and even in the deep cryogenic temperature region of liquid helium. However, as shown in Fig. 1 (top left), as the number of transistors increases, the power consumption of the chip increases and some overheated areas in the chip may cause it to fail. Therefore, there is a strong requirement for on-chip deep cryogenic CMOS temperature sensors for temperature monitoring. In Fig. 1 (bottom), CMOS temperature sensors are mainly categorized as BJT-based, resistor-based, and MOS-based. Unfortunately, in BJT-based sensors, the CTAT characteristics of V BE and the PTAT characteristics of $\Delta \mathrm{V}_{\text{BE}}$ lose linearity below approximately 60K [1]. In resistor-based sensors, the NWELL resistors exhibit high non-linearity in the whole temperature range while the unsilicided P-Poly resistors and other kinds of resistors perform resistance saturation below approximately 60K [2]. In MOS-based sensors, the threshold voltage of NMOS transistors exhibits saturation below approximately 50K [2]–[4]. Therefore, none of the above sensors can be used for temperature sensing at deep cryogenic temperatures. Fig. 1 (top right) shows the different characteristics of PMOS threshold voltage in different temperature ranges. Above the critical temperature $\mathrm{T}_{\mathrm{C}}$ , the threshold voltage of the PMOS transistor shows a linear temperature dependence due to Fermi potential based on the theory of semiconductor device physics. Below $\mathrm{T}_{\mathrm{C}}$ , as the temperature decreases, some experimental results have observed that the PMOS threshold voltage presents higher temperature sensitivity at deep cryogenic temperatures [3], [4]. Currently, the mechanism behind this phenomenon has not been clearly explained. One study models this phenomenon to the

关键词： Temperature sensors Resistors MOSFET Temperature distribution Temperature dependence Sensitivity Cryogenics Sensor phenomena and characterization Threshold voltage Temperature control

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Investigating the effect of the Tibetan Plateau on the ITCZ using a coupled Earth system model

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Atmospheric and Oceanic science Letters 2023年第1期16卷 53-58页

作者： Chuqiao Yan Jie Yao Xingchen Shen Haijun Yang Department of Atmospheric and Oceanic Sciences and CMA-FDU Joint Laboratory of Marine Meteorology Fudan UniversityShanghaiChina Shanghai Scientific Frontier Base for Ocean-Atmosphere Interaction Studies Fudan UniversityShanghaiChina Department of Atmospheric and Oceanic Sciences School of PhysicsPeking UniversityBeijingChina Science&Technology on Integrated Information System Laboratory Institute of SoftwareChinese Academy of SciencesBeijingChina

本文利用耦合地球气候系统模式研究了青藏高原对热带辐合带(ITCZ)的影响.我们研究发现热带大西洋ITCZ的位置对青藏高原存在与否有明显的敏感性.与目前真实情况相比,移除青藏高原会导致北半球海面降温,南半球海面升温.这种海面温度变化... 详细信息

本文利用耦合地球气候系统模式研究了青藏高原对热带辐合带(ITCZ)的影响.我们研究发现热带大西洋ITCZ的位置对青藏高原存在与否有明显的敏感性.与目前真实情况相比,移除青藏高原会导致北半球海面降温,南半球海面升温.这种海面温度变化在大西洋表现得尤为明显,导致热带大西洋最大海温中心向南移动,从而迫使大气对流中心向南移动,即表现为ITCZ的南移.相应地,夏季热带大气Hadley环流的上升支也发生明显南移.北(南)半球海洋变冷(变暖)这种态势要求增强跨赤道向北的大气经向热量输送,从而维持各个半球的能量平衡,而这需要ITCZ位置的南移才能实现.本文研究表明,青藏高原的存在在现今ITCZ气候态的形成中可能扮演了重要角色.

关键词：青藏高原热带辐合带耦合地球气候模式 Hadley环流热量输送

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Biochar technology cannot offset land carbon emissions in Guangdong province, China

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Carbon Research 2024年第1期3卷 1-14页

作者： Wang, Funing Zhou, Wenneng Wang, Xili Zhao, Qing Han, Mengjie State Key Lab of Clean Energy Utilization Institute of Carbon Neutrality State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control Zhejiang University Hangzhou310027 China Jiaxing Research Institute Zhejiang University Jiaxing314000 China Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds School of Ecology Environment and Resources Guangdong University of Technology Guangzhou510006 China Economic & amp Information center Zhejiang310006 China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modeling Institute for Global Change Studies Tsinghua University Beijing100084 China Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Institute of Eco-environmental and Soil Sciences Guangdong Academy of Sciences Guangzhou510650 China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangzhou510650 China

As a highly developed region, Guangdong province has substantial industrial emissions. Its subtropical monsoon climate, characterized by abundant hydrothermal conditions, contributes to a substantial biomass potential. The adoption of potential biomass-based carbon dioxide removal (CDR) technologies, such as biochar, presents an opportunity to mitigate emissions and work towards carbon neutrality in the future. However, the current state of the land carbon balance and the CDR potential of biochar in Guangdong province remains unclear. We first calculated the land carbon balance based on inventory data. Then we estimated the CDR potential of biochar derived from agricultural residues, forestry residues, and bioenergy crops cultivated on marginal lands in Guangdong province using life cycle analysis (LCA). Results show that Guangdong province has not yet achieved carbon neutrality, with a net emission (carbon emissions remaining after offsetting by carbon sinks) of 925.63 Tg CO2e (CO2 equivalent, 1Tg = 106 t) in 2021. Emissions from energy consumption account for the highest proportion, contributing 83.8% of total emissions. In the highest biomass utilization scenario, the maximum CDR potential of biochar derived from all biomass types reaches 84.30 Tg CO2e yr-1, which could offset 9.11% of net carbon emissions in Guangdong province. Our findings provide crucial guidance for setting emission reduction targets and implementing effective mitigation strategies in Guangdong province under temperature warming. Graphical Abstract: (Figure presented.) © The Author(s) 2024.

关键词： Carbon capture and utilization

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