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Photoelectrocatalytic degradation of refractory organic pollutants in water:Mechanism of active species generation by modulating the photoanode micro-interface
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作者 Yuhao Ma Yufei Zhou +4 位作者 Hongli Li Cheng Fang Mingchuan Yu Shaoxia Yang Junfeng Niu 《Chinese Chemical Letters》 2026年第1期198-207,共10页
The escalating global issues of water scarcity and pollution emphasize the critical need for the rapid development of efficient and eco-friendly water treatment technologies.Photoelectrocatalytic technology has emerge... The escalating global issues of water scarcity and pollution emphasize the critical need for the rapid development of efficient and eco-friendly water treatment technologies.Photoelectrocatalytic technology has emerged as a promising solution for effectively degrading refractory organic pollutants in water under light conditions.This review delves into the advancements made in the field,focusing on strategies to enhance the generation of active species by modulating the micro-interface of the photoanode.Strategies,such as morphological control,element doping,introduction of surface oxygen vacancies,and construction of heterostructures,significantly improve the separation efficiency of photogenerated charges and the generation of active species,thereby boosting the efficiency of photoelectrocatalytic performance.Furthermore,the review explores the potential applications of photoelectrocatalytic technology in organic pollutant degradation in solutions.It also outlines the current challenges and future development directions.Despite its remarkable laboratory success,practical implementation of photoelectrocatalytic technology encounters obstacles related to stability,cost-effectiveness,and operational efficiency.Future investigations need to focus on optimizing the performance of photoelectrocatalytic materials and exploring strategies for upscaling their application in real water treatment scenarios. 展开更多
关键词 Photoelectrocatalytic degradation PHOTOANODE Interface modulation Active species MECHANISM
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Performance and Degradation Assessment of PV Modules Exposed to Short-Term Outdoor Conditions in Two Distinct US Climatic Zones
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作者 Bouasria Youssef Zaimi Mhammed +1 位作者 ElAinaoui Khadija Assaid El Mahdi 《Energy Engineering》 2025年第10期4195-4223,共29页
Current research focuses on the performance degradation of photovoltaic(PV)modules,examining both crystalline silicon(p-Si and m-Si)and thin-film technologies,including a-Si/μc-Si,HIT,CdTe and CIGS.These modules were... Current research focuses on the performance degradation of photovoltaic(PV)modules,examining both crystalline silicon(p-Si and m-Si)and thin-film technologies,including a-Si/μc-Si,HIT,CdTe and CIGS.These modules were operated outdoors in two distinct climatic zones in the United States(US)over a period of three years.The degradation analysis includes the study of various quantities,such as the decrease in peak power,the reduction in current and voltage,and the variation in the fill factor.The annual degradation rate(DR)of PV modules is obtained by a linear fit of the effective maximum power evolution over time.The results indicate that m-Si and p-Si modules experienced a slight decrease in performance,with DRs of−0.83%and−1.07%,respectively.Subsequently,the HIT module exhibited a DR of−1.75%,while CdTe and CIGS modules demonstrated DRs of−2.03%and−2.45%,respectively.The a-Si/μc-Si module showed the highest DR at−3.26%.Using the Single Diode Model(SDM),we monitored the temporal evolution of physical parameters as well as changes in the shape of the I-V and P-V curves over time.We found that the key points of the I-V curve degrade over time,as do the I-V and P-V characteristics between two days approximately 30 months apart. 展开更多
关键词 PV module crystalline silicon thin-film technologies outdoor test effective maximum power degradation rate single diode model
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Synergistic redox-coordination molecular stabilizer counters iodine-related degradation for advanced perovskite solar cells
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作者 Yueji Liu Qiyao Guo +9 位作者 Yue Peng Qi Chen Yu Yang Wenqing Lang Jie Dou Xinyu Zhang Yuanyuan Zhao Benlin He Qunwei Tang Jialong Duan 《Journal of Energy Chemistry》 2026年第3期646-656,共11页
As one photovoltaic supernova,perovskite solar cells(PSCs)have exhibited certified power conversion efficiencies exceeding 27%.Yet,the presence of enormous defects,mainly for the dominant iodine vacancy(VI),always ind... As one photovoltaic supernova,perovskite solar cells(PSCs)have exhibited certified power conversion efficiencies exceeding 27%.Yet,the presence of enormous defects,mainly for the dominant iodine vacancy(VI),always induces nonradiative recombination,ion migration,and triggers autocatalytic iodine oxidation into volatile I_(2) and charge-localization-mediated metallic Pb0clusters,which accelerate device failure and therefore hamper commercialization.However,popularly reported strategies that simultaneously enable vacancy passivation and iodine scavenging remain insufficient,highlighting the need for new additives.Herein,we employ 4-cyanophenylhydrazine hydrochloride(CPHCl)as an iodine-related synergistic redox-coordination stabilizer to address intrinsic instability and interface chemistry issues.After systematically characterizations,we demonstrate that CPHCl not only specifically eliminates I_(2) intermediates by leveraging the redox-active hydrazine group(NH–NH_(2))(I_(2)+NH–NH_(2)→2HI+N=NH),but also passivates Pb^(2+)/FA^(+) related defects viaπ-backdonation and hydrogen bonding by the electron-donating cyano(C≡N)group,synergistically modulating the crystallization kinetics and improving the final quality of the perovskite film.As a result,vacancy-mediated I-ion migration and degradation are significantly relieved,enabling an enhanced efficiency of 25.56%for the p-i-n inverted PSC with exceptional operational stability.This work provides a deep insight into screening perovskite stabilizers for advancing toward commercial longevity. 展开更多
关键词 Perovskite solar cells Redox-coordination stabilizer Crystallization modulation Iodine vacancy degradation interception
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General analytical solutions for one-dimensional diffusion of degradable organic contaminant in the multi-layered media containing geomembranes
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作者 JIANG Wen-hao GE Shang-qi LI Jiang-shan 《Journal of Central South University》 2025年第10期3895-3910,共16页
In practical engineering construction,multi-layered barriers containing geomembranes are extensively applied to retard the migration of pollutants.However,the associated analytical theory on pollutants diffusion still... In practical engineering construction,multi-layered barriers containing geomembranes are extensively applied to retard the migration of pollutants.However,the associated analytical theory on pollutants diffusion still needs to be further improved.In this work,general analytical solutions are derived for one-dimensional diffusion of degradable organic contaminant(DOC)in the multi-layered media containing geomembranes under a time-varying concentration boundary condition,where the variable substitution and separated variable approaches are employed.These analytical solutions with clear expressions can be used not only to study the diffusion behaviors of DOC in bottom and vertical composite barrier systems,but also to verify other complex numerical models.The proposed general analytical solutions are then fully validated via three comparative analyses,including comparisons with the experimental measurements,an existing analytical solution,and a finite-difference solution.Ultimately,the influences of different factors on the composite cutoff wall’s(CCW,which consists of two soil-bentonite layers and a geomembrane)service performance are investigated through a composite vertical barrier system as the application example.The findings obtained from this investigation can provide scientific guidance for the barrier performance evaluation and the engineering design of CCWs.This application example also exhibits the necessity and effectiveness of the developed analytical solutions. 展开更多
关键词 general analytical solutions degradable organic contaminant diffusion behavior multi-layered media containing geomembranes composite barrier system
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Study on Structural Design of Composite Building with Multi-layer Steel Structure Module and Steel Frame
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作者 LIU Shuai 《外文科技期刊数据库(文摘版)工程技术》 2021年第1期659-663,共5页
With the continuous improvement of China's science and technology, the design method of steel structure is also more and more, how to better apply the module building design method to the related buildings, is the... With the continuous improvement of China's science and technology, the design method of steel structure is also more and more, how to better apply the module building design method to the related buildings, is the current issue to focus on consideration. Therefore, this paper will focus on the design method of multi-layer steel structure module and steel frame composite building structure, and analyze and study its structure, so as to improve the utilization rate of steel structure and promote the development of the construction industry. 展开更多
关键词 multi-layer steel structure module steel frame composite design steel structure
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Remaining Life Prediction Method for Photovoltaic Modules Based on Two-Stage Wiener Process 被引量:1
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作者 Jie Lin Hongchi Shen +1 位作者 Tingting Pei Yan Wu 《Energy Engineering》 EI 2025年第1期331-347,共17页
Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation costs.The service life of these modules directly affects these costs. Over time, the p... Photovoltaic (PV) modules, as essential components of solar power generation systems, significantly influence unitpower generation costs.The service life of these modules directly affects these costs. Over time, the performanceof PV modules gradually declines due to internal degradation and external environmental factors.This cumulativedegradation impacts the overall reliability of photovoltaic power generation. This study addresses the complexdegradation process of PV modules by developing a two-stage Wiener process model. This approach accountsfor the distinct phases of degradation resulting from module aging and environmental influences. A powerdegradation model based on the two-stage Wiener process is constructed to describe individual differences inmodule degradation processes. To estimate the model parameters, a combination of the Expectation-Maximization(EM) algorithm and the Bayesian method is employed. Furthermore, the Schwarz Information Criterion (SIC) isutilized to identify critical change points in PV module degradation trajectories. To validate the universality andeffectiveness of the proposed method, a comparative analysis is conducted against other established life predictiontechniques for PV modules. 展开更多
关键词 Photovoltaic modules degradation stochastic processes lifetime prediction
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Digital modulation classification using multi-layer perceptron and time-frequency features
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作者 Yuan Ye Mei Wenbo 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2007年第2期249-254,共6页
Considering that real communication signals corrupted by noise are generally nonstationary, and timefrequency distributions are especially suitable for the analysis of nonstationary signals, time-frequency distributio... Considering that real communication signals corrupted by noise are generally nonstationary, and timefrequency distributions are especially suitable for the analysis of nonstationary signals, time-frequency distributions are introduced for the modulation classification of communication signals: The extracted time-frequency features have good classification information, and they are insensitive to signal to noise ratio (SNR) variation. According to good classification by the correct rate of a neural network classifier, a multilayer perceptron (MLP) classifier with better generalization, as well as, addition of time-frequency features set for classifying six different modulation types has been proposed. Computer simulations show that the MLP classifier outperforms the decision-theoretic classifier at low SNRs, and the classification experiments for real MPSK signals verify engineering significance of the MLP classifier. 展开更多
关键词 Digital modulation classification Time-frequency feature Time-frequency distribution multi-layer perceptron.
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Reconfigurable WDM-PON empowered by a low-cost 8-channel directly modulated laser module
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作者 张一鸣 刘宇 +3 位作者 张志珂 赵泽平 田野 祝宁华 《Optoelectronics Letters》 EI 2017年第6期423-426,共4页
A 10 Gbit/s 16-km-long reconfigurable wavelength-division-multiplexing passive optical network(WDM-PON) is presented empowered by a low-cost multi-channel directly modulated laser(DML) module. Compared with the case u... A 10 Gbit/s 16-km-long reconfigurable wavelength-division-multiplexing passive optical network(WDM-PON) is presented empowered by a low-cost multi-channel directly modulated laser(DML) module. Compared with the case using discrete devices in conventional scheme, the proposed DML module provides a cost-effective solution with reduced complexity. The clear eye diagram and the bit error rate(BER) of less than 2×10^(-7) with a sensitivity of-7 dB m are obtained. Due to the special packaging design, the crosstalk between channels under condition of simultaneous operation can be negligible. 展开更多
关键词 modulated CROSSTALK MULTIPLEXING simultaneous packaging negligible DOWNSTREAM BIDIRECTIONAL degraded EXCEED
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基于性能退化指数扩散过程的光伏组件现场可靠性评估
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作者 刘艳 鄢伟安 +2 位作者 杨辉 黄纯显 刘卫东 《计算机集成制造系统》 北大核心 2026年第2期663-671,共9页
受性能退化影响因素和光伏组件个体质量差异性的影响,光伏组件整体的性能退化过程呈现随机性,而个体的退化轨迹呈现差异性。采用指数扩散(ED)过程描述这一随机性和差异性,提出光伏组件现场可靠性的评估方法。首先,建立描述光伏组件性能... 受性能退化影响因素和光伏组件个体质量差异性的影响,光伏组件整体的性能退化过程呈现随机性,而个体的退化轨迹呈现差异性。采用指数扩散(ED)过程描述这一随机性和差异性,提出光伏组件现场可靠性的评估方法。首先,建立描述光伏组件性能退化过程随机性的ED过程模型,采用具体光伏组件的性能退化数据拟合确定模型参数,通过模型参数的差异化来描述光伏组件个体性能退化轨迹之间的差异性。其次,基于ED过程模型,构建评估光伏组件整体和个体的寿命、失效率和可靠度等指标的现场可靠性评估模型。进一步将所构建的评估模型应用于光伏组件及其整体的现场可靠性评估,应用研究结果表明光伏组件整体和个体评估结果与实际值的最大相对误差分别为5.54%和9.62%,能够满足工程应用的评估精度要求。 展开更多
关键词 光伏组件 现场可靠性 评估 性能退化 指数扩散过程
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动力集中动车组制动系统PHM技术体系与PCR模块建模
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作者 宋博洋 陆航 《中国铁路》 北大核心 2026年第1期27-35,共9页
面向动车组制动系统的运用检修需求,提出故障预测与健康管理(PHM)技术对于现阶段动力集中动车组制动系统的必要性。结合既有动力集中动车组制动系统技术原理和需求,提出可预测维修的PHM框架设计和关键技术。以电空控制模块的性能劣化评... 面向动车组制动系统的运用检修需求,提出故障预测与健康管理(PHM)技术对于现阶段动力集中动车组制动系统的必要性。结合既有动力集中动车组制动系统技术原理和需求,提出可预测维修的PHM框架设计和关键技术。以电空控制模块的性能劣化评估模型为例,通过实车运行数据在线分析与测试,验证其对于性能状态评估的有效性。结合PHM系统的闭环排故处置流程,对于提高动车组制动系统的检修维护效率、提升在途安全运营的保障能力具有积极的推动意义。 展开更多
关键词 动车组 运用检修 PHM 电空控制模块 性能劣化评估 PCR模块
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Research on the potential-induced degradation (PID) of PV modules running in two typical climate regions 被引量:2
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作者 Gang Sun Xiaohe Tu Rui Wang 《Clean Energy》 EI 2019年第3期222-226,共5页
In order to accurately select photovoltaic modules under different climatic conditions,three kinds of polycrystalline silicon photovoltaic modules were prepared for this study using different properties of packaging m... In order to accurately select photovoltaic modules under different climatic conditions,three kinds of polycrystalline silicon photovoltaic modules were prepared for this study using different properties of packaging materials and two typical climatic zones of China were selected for installation and operation of these photovoltaic(PV)modules.The photoelectric parameters(maximum power,open-circuit voltage,short-circuit current,etc.)and electroluminescence images of these modules were analysed before and after their operation for 6 months.The study found that the performance of PV modules in different climatic regions shows different decay tendency and degradation mechanism.There was a significant difference in the degradation of the three different types of PV modules in the sub-humid-hot region(Suzhou,Jiangsu);two kinds of photovoltaic modules using relatively poorly performing package materials showed significant potential-induced degradation effects.However,the degradation trend of the three different types of PV modules in the warm-temperate region(Kenli,Shandong)was consistent and no significant potential-induced degradation effect was observed. 展开更多
关键词 PV modules typical climate zones PID power degradation
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Facile fabrication of BiOCl nanoplates with high exposure{001}facets for effcient photocatalytic degradation of nitro explosives
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作者 Jing Yan Bo Jin +1 位作者 Ping Zhao Rufang Peng 《Inorganic Chemistry Frontiers》 2021年第3期777-786,共10页
Nitro explosives are harmful to the ecological environment and human health and they are diffcult to eliminate.Herein,a simple and environmentally friendly citric acid modulated hydrothermal method was used to prepare... Nitro explosives are harmful to the ecological environment and human health and they are diffcult to eliminate.Herein,a simple and environmentally friendly citric acid modulated hydrothermal method was used to prepare regular square-like BiOCl nanoplates with high exposure{001}facets.The results of characterizations showed that reduced-size square-like BiOCl nanoplates were with high exposure{001}facets.Nitro explosives,including p-nitrophenol(PNP),2,4-dinitrophenol(2,4-DNP),2,4,6-trinitrophenol(2,4,6-TNP),and 2,4,6-trinitrotoluene(TNT),were selected to inquire into the catalytic properties of pre pared samples under simulated irradiation.The catalytic performance of BC-10 was the best.In particular,BC-10 could thoroughly degrade four nitro explosives solutions,namely,PNP,2,4-DNP,2,4,6-TNP,and TNT(20 mg L^(−1))under simulated irradiation in 50,90,90,and 90 min,respectively;photocatalytic mechanism was exhaustively discussed.Photoelectrochemical,in additon to electron paramagnetic reso nance characterizations,suggested that the intrinsic factor for the superior photocatalytic performance was the enhancement of the transfer and separation effciency of photogenerated charge carriers derived from the BiOCl{001}active facets.Moreover,the primary active substance in the system was superoxide radicals.This study may provide new insights on the preparation of effcient catalysts for degrading nitro explosives. 展开更多
关键词 photocatalytic degradation biocl nanoplates superoxide radicals hydrothermal method citric acid modulation citric acid modulated hydrothermal method nitro explosives facets
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基于非线性退化模型动态校准的光伏组件剩余寿命预测方法
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作者 陈伟 吴燕 +1 位作者 裴婷婷 沈泓池 《太阳能学报》 北大核心 2025年第8期439-446,共8页
提出一种基于考虑随机效应的非线性维纳退化模型动态校准的光伏组件剩余寿命预测方法。首先,建立考虑参数随机性的非线性维纳退化模型,通过离线优化和在线更新估计模型参数。然后,基于非线性退化模型对光伏组件性能衰退状态进行预测,再... 提出一种基于考虑随机效应的非线性维纳退化模型动态校准的光伏组件剩余寿命预测方法。首先,建立考虑参数随机性的非线性维纳退化模型,通过离线优化和在线更新估计模型参数。然后,基于非线性退化模型对光伏组件性能衰退状态进行预测,再建立退化状态预测误差模型对非线性模型进行补偿并进行参数更新,得到校准后的退化模型,在此基础上预测光伏组件剩余寿命。最后通过实例分析验证所提方法的有效性和可行性。 展开更多
关键词 光伏组件 退化 模型 剩余寿命 动态校准
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基于CNN和Transformer聚合的遥感图像超分辨率重建 被引量:3
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作者 胡明志 孙俊 +2 位作者 杨彪 常开荣 杨俊龙 《浙江大学学报(工学版)》 北大核心 2025年第5期938-946,共9页
针对现有的遥感图像超分辨模型很少考虑噪声、模糊、JPEG压缩等因素对图像重建所带来的影响,以及Transformer模块构建高频信息能力受限的问题,提出多层退化模块.设计基于CNN和Transformer聚合的网络,使用CNN识别图像的高频信息,Transfor... 针对现有的遥感图像超分辨模型很少考虑噪声、模糊、JPEG压缩等因素对图像重建所带来的影响,以及Transformer模块构建高频信息能力受限的问题,提出多层退化模块.设计基于CNN和Transformer聚合的网络,使用CNN识别图像的高频信息,Transformer提取全局信息.利用基于注意力机制的聚合模块将2个模块聚合,在保持全局结构连贯性的同时,显著增强局部高频细节的重建精度.利用所提模型,在AID数据集上随机选取6个场景进行实验,与MM-realSR模型在PSNR和SSIM指标上进行比较.结果表明,所提模型在PSNR指标上相比于MM-realSR模型平均提高1.61 dB,SSIM指标平均提升0.023. 展开更多
关键词 遥感图像 超分辨率重建 多层退化模块 高频信息 全局信息 聚合模块
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环境因素对光伏组件输出性能影响研究综述 被引量:3
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作者 徐明月 唐若笠 张彦 《电源技术》 北大核心 2025年第3期506-514,共9页
随着光伏组件大量投入使用,在役光伏组件在不同工作环境下产生各种问题,尤其是在恶劣环境下工作的光伏组件,更容易产生输出性能降低的现象甚至发生故障。因此,为保证光伏组件高效平稳运行,大量学者以不同环境因素导致光伏组件性能降低... 随着光伏组件大量投入使用,在役光伏组件在不同工作环境下产生各种问题,尤其是在恶劣环境下工作的光伏组件,更容易产生输出性能降低的现象甚至发生故障。因此,为保证光伏组件高效平稳运行,大量学者以不同环境因素导致光伏组件性能降低的机制为对象进行了一系列研究。归纳了环境温度、环境湿度、表面积灰、风速风向、空气颗粒物等常见环境因素对光伏组件性能影响的相关研究,总结了各环境因素作用的影响大小,讨论了各个环境因素影响光伏组件性能研究的不足之处,概述了当前光伏组件温度调节技术以及清洁技术的应用现状和发展趋势。 展开更多
关键词 光伏组件 性能降低 PV/T降温技术
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不同晶相MoS_(2)的制备及其光催化降解性能 被引量:2
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作者 韩改英 袁烺 谢颖 《黑龙江大学工程学报(中英俄文)》 2025年第3期1-12,共12页
通过水热合成法制备了不同晶相的MoS_(2)(1T/2H、1T/3R和2H相),并系统研究了其对盐酸四环素(TCH)和甲基橙(MO)的光催化降解性能。实验结果表明,1T/2H-MoS_(2)在可见光照射下表现出最优异的催化活性,1 h内对TCH和MO的降解率分别为79.62%... 通过水热合成法制备了不同晶相的MoS_(2)(1T/2H、1T/3R和2H相),并系统研究了其对盐酸四环素(TCH)和甲基橙(MO)的光催化降解性能。实验结果表明,1T/2H-MoS_(2)在可见光照射下表现出最优异的催化活性,1 h内对TCH和MO的降解率分别为79.62%和28.31%,其反应速率常数(0.02624 min^(-1))高于1T/3R-MoS_(2)(0.02136 min^(-1))和2H-MoS_(2)(0.00127 min^(-1))。通过XRD、拉曼光谱、SEM、BET比表面积分析和电化学测试等表征手段,揭示了1T/2H-MoS_(2)的高效催化性能源于1T相与2H相形成的异质结结构,该结构不仅拓宽了可见光吸收范围(带隙降至1.72 eV),还促进了光生电子-空穴对的分离与传输。此外,自由基捕获实验证实·O_(2)^(-)是降解过程中的主要活性物种。为调控MoS_(2)晶相结构以提高光催化性能提供了理论依据,展现了其在有机污染物治理中的应用潜力。 展开更多
关键词 二硫化钼 晶相调控 光催化降解 盐酸四环素 甲基橙
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机载TR组件散热性能退化建模与寿命预测方法 被引量:1
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作者 李昊 周于博 +3 位作者 赵朋飞 张翔羽 李群 张生鹏 《装备环境工程》 2025年第5期26-33,共8页
目的 揭示机载TR组件长期贮存使用条件下的散热性能退化机理,预测组件的散热性能退化寿命。方法 分析确定TR组件散热性能退化的主要机理为外力作用导致硅脂挤出渗出,以及硅脂中硅油挥发。采用等效导热系数为表征参数,构建TR组件散热性... 目的 揭示机载TR组件长期贮存使用条件下的散热性能退化机理,预测组件的散热性能退化寿命。方法 分析确定TR组件散热性能退化的主要机理为外力作用导致硅脂挤出渗出,以及硅脂中硅油挥发。采用等效导热系数为表征参数,构建TR组件散热性能表征模型,并从退化机理出发,采用修正的LucasWashburn(LW)方程刻画硅脂挤出渗出现象,采用经典挥发模型刻画硅油挥发现象,构建TR组件层间硅脂硅油质量损失模型及等效导热系数退化模型。设计开展损伤加速试验,利用试件质量损失数据对所构架的质量损失模型进行校验,并基于验证后的模型预测TR组件散热性能退化失效寿命。结果 基于前3个循环的损伤加速试验数据拟合得到的模型,对第4个循环的试件质量损失的预测结果与实测值相对误差仅1.53%,证明了所提模型的有效性。再使用所有循环的试验数据重新拟合TR组件层间硅脂等效导热系数退化模型,并预测TR组件散热性能退化失效寿命。计算结果表明,在贮存使用9.03 a后,所讨论的TR组件会因散热性能不满足工作要求而失效。结论 本文所提模型具有较强物理含义,且实验验证结果表明,模型预测误差小,精度高,说明所提模型能够较好刻画TR组件散热性能退化过程。同时,模型参数较少,可通过少量试验完成参数确定,因此具备较强指导与应用价值。 展开更多
关键词 TR组件 导热硅脂 散热性能 退化建模 加速试验 寿命预测
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光伏组件室内外老化测试比对研究 被引量:4
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作者 许滢 朱冰洁 +2 位作者 怀朝君 陈昊旻 马超 《太阳能学报》 北大核心 2025年第2期374-380,共7页
为研究光伏组件可靠性,设计室内综合环境因素的加速试验方案,通过将室内加速老化试验结果与无锡及银川户外实证结果比对,验证室内加速老化试验的可行性。经过试验发现,加速老化试验约23 d的功率衰减与无锡户外1 a衰减情况较为接近;加速... 为研究光伏组件可靠性,设计室内综合环境因素的加速试验方案,通过将室内加速老化试验结果与无锡及银川户外实证结果比对,验证室内加速老化试验的可行性。经过试验发现,加速老化试验约23 d的功率衰减与无锡户外1 a衰减情况较为接近;加速老化试验约60 d的功率衰减与银川户外2 a衰减率情况较为接近;功率的衰减均与短路电流变化呈完全正相关关系;通过衰减模型进行拟合分析,组件在户外试验和室内加速老化试验中的功率衰减趋势较为接近,且与衰减模型较为吻合,即室内加速老化试验可较好地模拟组件在户外实际工作情况。 展开更多
关键词 光伏组件 衰减 加速老化试验 户外实证 衰减模型 相关性分析
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基于渐进式边缘感知交互的多退化暗光图像增强
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作者 李悦洲 牛玉贞 +2 位作者 李富晟 柯逍 施逸青 《电子学报》 北大核心 2025年第3期926-940,共15页
暗光场景下拍摄的图像容易受暗光、噪声、模糊等多种退化因素的影响,导致其内容可视度低且视觉观感较差.多退化的暗光图像对现有图像增强方法提出了挑战:一方面,暗光图像增强或去模糊等方法不能涵盖所有的退化类型,而组合使用已有方法... 暗光场景下拍摄的图像容易受暗光、噪声、模糊等多种退化因素的影响,导致其内容可视度低且视觉观感较差.多退化的暗光图像对现有图像增强方法提出了挑战:一方面,暗光图像增强或去模糊等方法不能涵盖所有的退化类型,而组合使用已有方法的效果受到计算开销增加与误差累积的限制;另一方面,已有多退化暗光图像增强方法采用了先提升亮度再去除模糊的策略,这种顺序处理方式会增加特征线索丢失的风险,不利于细节复原.为应对上述挑战,本文提出渐进式边缘感知交互增强网络(Progressive Edge-aware Interactive Enhancement Network,PEIE-Net),以逐步增强的方式减少图像增强过程中特征细节的丢失.具体来说,该网络由图像增强分支与边缘预测分支组成.在图像增强分支的每个增强阶段中,设计自注意力调制预测模块提取全局信息,用于对通道调制模块和多尺度复原模块进行自适应调制.在边缘预测分支中,设计空频域特征变换模块提取边缘感知信息,既用于预测高质量图像的边缘,又与图像增强分支的特征进行融合,以此模拟人类视觉系统在不同感知之间的交互.此外,本文还提出了场景亮度估计损失对多个渐进式增强阶段进行协调.在合成与真实数据集上的实验验证了本文方法在增强暗光、噪声、模糊退化图像方面的有效性与先进性,并可用于暗光图像增强与超分辨率任务. 展开更多
关键词 图像增强 多退化图像 暗光增强 去模糊 特征调制
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增强退化表征学习的盲图像超分辨率
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作者 袁江 马冀 周登文 《计算机科学与探索》 北大核心 2025年第5期1252-1263,共12页
大多数基于卷积神经网络的超分辨率(SR)方法,退化假设是固定且已知的(如双三次退化)。将它们应用在真实世界退化图像时,实际退化与假设不匹配会使得SR方法性能显著下降。为解决退化不匹配时SR方法性能下降问题,提出一种新的盲SR方法,它... 大多数基于卷积神经网络的超分辨率(SR)方法,退化假设是固定且已知的(如双三次退化)。将它们应用在真实世界退化图像时,实际退化与假设不匹配会使得SR方法性能显著下降。为解决退化不匹配时SR方法性能下降问题,提出一种新的盲SR方法,它可以无监督地学习退化图像的退化信息,并使用学习的退化信息有效地调制SR网络。基于对比学习设计了一种无监督的隐式退化表征学习方法,不依赖负样本队列即可提取出准确的退化信息,并提出将经过同一退化的不同图片作为正样本对,克服了图片内容相似性对学习退化的影响,有效提升了隐式退化估计器的表达能力。设计了一个包含全局调制块和通道融合调制块的退化引导调制超分辨率网络,它和退化信息结合可以灵活处理各种退化,以实现最终的SR恢复。实验在四个标准数据集上与多种代表性方法进行了比较,结果显示在×2、×3和×4三种不同放大倍数情形下,在Urban100数据集上比基线模型(DASR)的PSNR分别提高0.85 dB、0.87 dB和0.32 dB。最终提取的退化表征信息质量和重建出的SR图像比DASR均有较大提升。 展开更多
关键词 超分辨率 对比学习 退化特征学习 退化特征调制
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