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Impacts of hydrogen annealing on the carrier lifetimes in p-type 4H-SiC after thermal oxidation

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Chinese Physics B 2023年第6期32卷 60-65页

作者：张锐军洪荣墩韩景瑞丁雄杰李锡光蔡加法陈厦平傅德颐林鼎渠张明昆吴少雄张宇宁吴正云张峰 Department of physics Xiamen universityXiamen 361005China Guangdong Tianyu Semiconductor Co. LtdDongguan 523808China

Thermal oxidation and hydrogen annealing were applied on a 100μm thick Al-doped p-type 4H-Si C epitaxial wafer to modulate the minority carrier lifetime,which was investigated by microwave photoconductive decay(μ-PCD).The minority carrier lifetime decreased after each thermal *** the contrary,with the hydrogen annealing time increasing to3 hours,the minority carrier lifetime increased from 1.1μs(as-grown)to 3.14μs and then saturated after the annealing time reached 4 *** increase of surface roughness from 0.236 nm to 0.316 nm may also be one of the reasons for limiting the further improvement of the minority carrier ***,the whole wafer mappings of minority carrier lifetimes before and after hydrogen annealing were measured and *** average minority carrier lifetime was up to 1.94μs and non-uniformity of carrier lifetime reached 38%after 4-hour hydrogen *** increasing minority carrier lifetimes could be attributed to the double mechanisms of excess carbon atoms diffusion caused by selective etching of Si atoms and passivation of deep-level defects by hydrogen atoms.

关键词： 4H-SiC carrier lifetime hydrogen annealing

基于数值仿真技术的风电机组测试场地标定方法研究

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可再生能源 2015年第5期33卷 672-677页

作者：边伟焦渤薛扬马晓晶李松迪付德义中国电力科学研究院新能源研究所北京100192

文章使用数值仿真软件建立复杂地形的CFD模型,通过测风塔位置处实测风速来推算风机机位处的实际风速,并与实际风电场地标定中相同时间序列的实测风机机位风速进行比对,验证了通过数值仿真计算来实现在风电机组测试场地标定的可行性。

关键词：数值仿真场地标定风电机组测试

Loss Aware Feature Attention Mechanism for Class and Feature Imbalance Issue

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Computers, Materials & Continua 2025年第1期82卷 751-775页

作者： Yuewei Wu Ruiling fu Tongtong Xing fulian Yin College of Information and Communication Engineering Communication University of ChinaBeijing100024China State Key Laboratory of Media Convergence and Communication Communication University of ChinaBeijing100024China

In the Internet era,recommendation systems play a crucial role in helping users find relevant information from large *** imbalance is known to severely affect data quality,and therefore reduce the performance of recommendation *** to the imbalance,machine learning algorithms tend to classify inputs into the positive(majority)class every time to achieve high prediction *** can be categorized such as by features and classes,but most studies consider only class *** this paper,we propose a recommendation system that can integrate multiple networks to adapt to a large number of imbalanced features and can deal with highly skewed and imbalanced datasets through a loss *** propose a loss aware feature attention mechanism(LAFAM)to solve the issue of feature *** network incorporates an attention mechanism and uses multiple sub-networks to classify and learn *** better results,the network can learn the weights of sub-networks and assign higher weights to important *** propose suppression loss to address class imbalance,which favors negative loss by penalizing positive loss,and pays more attention to sample points near the decision *** on two large-scale datasets verify that the performance of the proposed system is greatly improved compared to baseline methods.

关键词： Imbalanced data deep learning e-commerce recommendation loss function big data analysis

Enhancing weather predictions:Initial condition sensitivity and error dynamics in data assimilation

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Science China Earth Sciences 2025年

作者： Weiwei fu Department of Atmospheric and Oceanic Sciences Fudan University Key Laboratory of Polar Atmosphere-ocean-ice System for Weather and Climate Ministry of Education Fudan University IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather Fudan University

Data Assimilation (DA) plays a crucial role in modern numerical forecasting (Kalnay, 2002). It has been demonstrated that incorporating real-time observational data into forecast models significantly enhances the accuracy of both shortterm weather forecasts (Bauer et al., 2015; Bannister, 2017)and long-term climate predictions (Karspeck et al., 2013;Mochizuki et al., 2016).

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Energy injection,transport,and dissipation in Earth's magnetosphere

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Science China Earth Sciences 2025年

作者： Huishan fu Jinbin CAO School of Space and Earth Sciences Beihang University Key Laboratory of Space Environment Monitoring and Information Processing Ministry of Industry and Information Technology

The Earth's magnetosphere is a region occupied by many artificial satellites, and also is a region that spacecraft must cruise during the deep-space exploration. In this sense, the Earth's magnetosphere is closely related to human activity and is a candidate for us to expand our living space. Generally, the Earth's magnetosphere can preclude most energetic particles from the Sun and the interstellar space, effectively protecting human beings on the Earth from being attacked and thus making the Earth to be a habitable planet. However, in some conditions, the Earth's magnetosphere becomes dynamic and energetic, and consequently may damage the artificial satellites, threaten the astronauts' health, and disrupt the ground infrastructure, which leads to a decline in the national economy. Therefore, investigating how energy is injected into the magnetosphere, how it is transported in the magnetosphere, and how it is ultimately dissipated in the magnetosphere are the key issues in space physics. Targeting these key issues, in this paper, we review the recent progress on them. Particularly, we introduce the relevant scientific questions,models, methods, and spacecraft missions, for better building a physical link among the energy injection, transport, and dissipation in the magnetosphere, present an energy chain of the magnetosphere, reveal the relationship between such energy chain and the space weather events, and discuss the forecasting and warning methods for energetic-particle events in the magnetosphere. The magnetospheric energy chain discussed in this paper will help us reveal the mechanisms of space weather events, establish the models of space environment, and forecast the disastrous space weather events.

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铜二安替比林甲烷—硫氰酸盐萃取分光光度法测定纯铝中的微量銅

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华中师范大学学报(自然科学版) 1988年第3期 67-71页

作者：曾麟如周军付德义华中师范大学化学系华中师范大学化学系

本文应用二安替比林甲烷(DAPM)、硫氰酸盐与二价铜在酸性介质中生成三元络合物的紫色沉淀,被氯仿萃取光度测定纯铝中的微量酮。络合物的组成Cu;DAPM:SCN=1∶2∶4。其稳定性达七小时。吸收峰在480nm处,铜浓度在0—9ppm范围内,符合比耳定律。

关键词：分光光度法铜

PS-CoT-Adapter: adapting plan-and-solve chain-of-thought for ScienceQA

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Science China(Information Sciences) 2025年第1期68卷 392-393页

作者： Qun LI Haixin SUN fu XIAO Yiming WANG Xinping GAO Bir BHANU School of Computer Science Nanjing University of Posts and Telecommunications Purple Mountain Laboratories Department of Electrical and Computer Engineering University of California at Riverside

Large language models (LLMs) have recently shown remarkable performance in a variety of natural language processing (NLP) *** further explore LLMs'reasoning abilities in solving complex problems,recent research [1-3]has investigated chain-of-thought (CoT) reasoning in complex multimodal scenarios,such as science question answering (ScienceQA) tasks [4],by fine-tuning multimodal models through human-annotated CoT ***,collected CoT rationales often miss the necessary rea-soning steps and specific expertise.

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Advancements and Challenges in Organic–Inorganic Composite Solid Electrolytes for All‑Solid‑State Lithium Batteries

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Nano-Micro Letters 2025年第1期17卷 46-97页

作者： Xueyan Zhang Shichao Cheng Chuankai fu Geping Yin Liguang Wang Yongmin Wu Hua Huo State Key Laboratory of Space Power‑Sources School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001People’s Republic of China College of Chemical and Biological Engineering Zhejiang UniversityHangzhou 310058People’s Republic of China State Key Laboratory of Space Power-Sources 2965 Dongchuan RoadMinhang DistrictShanghai 200240People’s Republic of China

To address the limitations of contemporary lithium-ion batteries,particularly their low energy density and safety concerns,all-solid-state lithium batteries equipped with solid-state electrolytes have been identified as an up-and-coming *** the various SEs,organic–inorganic composite solid electrolytes(OICSEs)that combine the advantages of both polymer and inorganic materials demonstrate promising potential for large-scale ***,OICSEs still face many challenges in practical applications,such as low ionic conductivity and poor interfacial stability,which severely limit their *** review provides a comprehensive overview of recent research advancements in ***,the influence of inorganic fillers on the main functional parameters of OICSEs,including ionic conductivity,Li+transfer number,mechanical strength,electrochemical stability,electronic conductivity,and thermal stability are systematically *** lithium-ion conduction mechanism of OICSE is thoroughly analyzed and concluded from the microscopic ***,the classic inorganic filler types,including both inert and active fillers,are categorized with special emphasis on the relationship between inorganic filler structure design and the electrochemical performance of ***,the advanced characterization techniques relevant to OICSEs are summarized,and the challenges and perspectives on the future development of OICSEs are also highlighted for constructing superior ASSLBs.

关键词： Composite solid electrolytes Inorganic filler Interfacial stability Li-ion conduction mechanism Characterization techniques

Mutual Recognition of Testing Result Benefits for Business

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China Standardization 2016年第2期66卷 66-69页

作者：李少林薛扬付德义马晓晶 the Renewable Energy Department of CEPRI

As Chinese wind power equipment manufacturers have continuously improved the variety and quality of products,they are reaching out to the international market,and cooperate with global wind power companies,exporting a number of wind turbines *** help domestic wind power enterprises improve global competitiveness,Chinese wind power testing institutions have actively upgraded the testing capability,realizing the cooperation and mutual recognition with international first-class testing institutions.

关键词：测试能力商业利益风力发电机识别国际市场测试机构设备制造商全球竞争力