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Inkjet-Printing Controlled Phase Evolution Boosts the Efficiency of Hole Transport Material Free and Carbon-Based CsPbBr_(3) Perovskite Solar Cells Exceeding 9%

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Energy & Environmental Materials 2024年第2期7卷 209-220页

作者： Lihua Zhang Shi chen Jie Zeng Zhengyan Jiang Qian Ai Xianfu Zhang Bihua Hu Xingzhu Wang shihe Yang Baomin Xu Department of Materials Science and Engineering and Shenzhen Engineering Research and Development Center for Flexible Solar Cells Southern University of Science and TechnologyShenzhen 518055China Department of Chemistry The Hong Kong University of Science and TechnologyClear Water BayHong KongChina Henan Key Laboratory of Photovoltaic Materials Henan UniversityKaifeng 475004China Guangdong Key Lab of Nano-Micro Material Research School of Chemical Biology and BiotechnologyShenzhen Graduate SchoolPeking UniversityShenzhen 518055China Key University Laboratory of Highly Efficient Utilization of Solar Energy and Sustainable Development of Guangdong Southern University of Science and TechnologyShenzhen 518055China Guangdong-Hong Kong-Macao Joint Laboratory for Photonic-Thermal-Electrical Energy Materials and Devices Southern University of Science and TechnologyShenzhen 518055China

Hole transport material free carbon-based all-inorganic CsPbBr_(3)perovskite solar cells(PSCs)are promising for commercialization due to its low-cost,high open-circuit voltage(V_(oc))and superior *** to the different solubility of PbBr_(2)and CsBr in conventional solvents,CsPbBr_(3)films are mainly obtained by multi-step spin-coating through the phase evolution from PbBr_(2)to CsPb_(2)Br_(5)and then to CsPbBr_(3).The scalable fabrication of high-quality CsPbBr_(3)films has been rarely ***,an inkjet-printing method is developed to prepare high-quality CsPbBr_(3)*** formation of long-range crystalline CsPb_(2)Br_(5)phase can effectively improve phase purity and promote regular crystal stacking of CsPbBr_(3).Consequently,the inkjet-printed CsPbBr_(3)C-PSCs realized PCEs up to 9.09%,8.59%and 7.81%with active areas of 0.09,0.25,and 1 cm^(2),respectively,demonstrating the upscaling potential of our fabrication method and *** high performance is mainly ascribed to the high purity,strong crystal orientation,reduced surface roughness and lower trap states density of the as-printed CsPbBr_(3)*** work provides insights into the relationship between the phase evolution mechanisms and crystal growth dynamics of cesium lead bromide halide films.

关键词： all-inorganic perovskite solar cells CsPbBr_(3) inkjet-printing phase evolution

Assessment of soil total phosphorus storage in a complex topography along China's southeast coast based on multiple mapping scales

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Pedosphere 2024年第1期34卷 236-251页

作者： Zhongxing chen Jing LI Kai HUANG Miaomiao WEN Qianlai ZHUANG Licheng LIU Peng ZHU Zhenong JIN shihe XING Liming ZHANG Fujian Provincial Key Laboratory of Soil Environmental Health and Regulation College of Resources and EnvironmentFujian Agriculture and Forestry UniversityFuzhou 350002China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Guangxi Zhuang Autonomous Region Plant Protection Station Nanjing 530022China Department of Earth Atmosphericand Planetary SciencesPurdue UniversityWest Lafayette IN47907US Department of Bioproducts and Biosystems Engineering University of Minnesota-Twin CitiesSaint Paul MN 55108USA Department of Geography The University of Hong KongHong Kong 999077China

Soil phosphorus (P) plays a vital role in both ecological and agricultural ecosystems, where total P (TP) in soil serves as a crucial indicator of soil fertility and quality. Most of the studies covered in the literature employ a single or narrow range of soil databases, which largely overlooks the impact of utilizing multiple mapping scales in estimating soil TP, especially in hilly topographies. In this study, Fujian Province, a subtropical hilly region along China’s southeast coast covered by a complex topographic environment, was taken as a case study. The influence of the mapping scale on soil TP storage (TPS)estimation was analyzed using six digital soil databases that were derived from 3 082 unique soil profiles at different mapping scales, i.e., 1:50 000 (S5),1:200 000 (S20), 1:500 000 (S50), 1:1 000 000 (S100), 1:4 000 000 (S400), and 1:10 000 000 (S1000). The regional TPS in the surface soil (0–20 cm) based on the S5, S20, S50, S100, S400, and S1000 soil maps was 20.72, 22.17, 23.06, 23.05, 22.04, and 23.48 Tg, respectively, and the corresponding TPS at0–100 cm soil depth was 80.98, 80.71, 85.00, 84.03, 82.96, and 86.72 Tg, respectively. By comparing soil TPS in the S20 to S1000 maps to that in the S5map, the relative deviations were 6.37%–13.32%for 0–20 cm and 0.33%–7.09%for 0–100 cm. Moreover, since the S20 map had the lowest relative deviation among different mapping scales as compared to S5, it could provide additional soil information and a richer soil environment than other smaller mapping scales. Our results also revealed that many uncertainties in soil TPS estimation originated from the lack of detailed soil information, i.e., representation and spatial variations among different soil types. From the time and labor perspectives, our work provides useful guidelines to identify the appropriate mapping scale for estimating regional soil TPS in areas like Fujian Province in subtropical China or other places with similar complex topographies. Moreover,

关键词： agricultural management appropriate mapping scale digitized conventional soil map estimation uncertainty subtropical hilly region

An Optimal Sparseness Approach for Least Square Support Vector Machine

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An Optimal Sparseness Approach for Least Square Support Vect...

第26届中国控制与决策会议

作者： Jia Luo shihe chen Le Wu Shirong Zhang Electric Power Research Institute of Guangdong Power Grid Corporation Department of Automation Wuhan University

Least square support vector machine（LSSVM） is a well accepted process modeling technique. However, it has an instinct shortcoming as that the solution is lack of spareness. In this paper, a particle swarm optimization（PSO）based optimal spareness approach for LSSVM is proposed and validated. The spareness of LSSVM is firstly formulated as an optimization problem, where pruning percentage of the training data set is taken as the optimization variable. And then, PSO is employed to solve the spareness problem. A LSSVM model for carbon content in fly ash of utility boiler is used for algorithm validation. Long term operation data of a 600 MW boiler is collected for comparison studies. The presented results convince that the PSO based optimal spareness approach exceeds the classical method, and is capable of converging to an optimal support vector set.

关键词： LSSVM optimal sparseness PSO pruning percentage

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基于核偏最小二乘的电厂热力参数预测与估计

中国电机工程学报 2011年第S1期31卷 193-199页

作者：张曦陈世和陈锐民阎威武广东电网公司电力科学研究院广东省广州市510600 上海交通大学自动化系上海市闵行区200240

为了解决机组运行过程中参数失效和优化过程中参数计算的问题,提出了一种基于核偏最小二乘方法的热力参数预测和估计方法。首先用正常数据建立机组参数的预测和估计模型,确定各变量之间的回归关系,然后将其用于参数的在线预测与估计。... 详细信息

为了解决机组运行过程中参数失效和优化过程中参数计算的问题,提出了一种基于核偏最小二乘方法的热力参数预测和估计方法。首先用正常数据建立机组参数的预测和估计模型,确定各变量之间的回归关系,然后将其用于参数的在线预测与估计。其基本思想是通过非线性核函数将数据映射到高维特征空间,然后在高维特征空间中进行偏最小二乘回归运算。该方法可以有效地捕捉变量间的非线性关系,参数预测和估计效果明显好于偏最小二乘法和主元回归方法等线性回归方法。某1?000?MW发电机组烟气含氧量历史特征数据集仿真试验及实际应用比对实验证明了该方法的有效性。

关键词：核偏最小二乘偏最小二乘参数估计参数预测

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应用低温等离子体破碎岩石

核技术 2006年第11期29卷 877-880页

作者：陈世和麻胜荣邹文洁南华大学电气工程学院衡阳421001

一般地,破岩方法可分为机械能破岩和热能破岩两种,随着科学技术的发展,热能破岩的方法和技术已在很多领域应用,特别是利用火钻焰流开采石材在很多矿山广泛得到了应用。从实际应用出发,重点介绍了低温等离子体破岩、凿岩的原理和方法,等... 详细信息

一般地,破岩方法可分为机械能破岩和热能破岩两种,随着科学技术的发展,热能破岩的方法和技术已在很多领域应用,特别是利用火钻焰流开采石材在很多矿山广泛得到了应用。从实际应用出发,重点介绍了低温等离子体破岩、凿岩的原理和方法,等离子装置的结构及其特点。

关键词：低温等离子破碎岩石

Filterless narrowband photodetectors enabled by controllable band modulation through ion migration: The case of halide perovskites

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InfoMat 2024年第1期6卷 123-138页

作者： Yu Li Shanshan Yu Junjie Yang Kai Zhang Mingyu Hu Weitao Qiu Fumin Guo Wei Qian Sean Reinecke Tao chen Makhsud I.Saidaminov Jian Wang shihe Yang Guangdong Provincial Key Lab of Nano-Micro Materials Research School of Chemical Biology and BiotechnologyShenzhen Graduate SchoolPeking UniversityShenzhenGuangdongthe People's Republic of China Shenzhen Bay Laboratory Institute of Biomedical EngineeringShenzhenGuangdongthe People's Republic of China School of Advanced Materials Shenzhen Graduate SchoolPeking UniversityShenzhenGuangdongthe People's Republic of China Department of Chemistry The University of Hong KongHong Kong SARthe People's Republic of China Hefei National Laboratory for Physical Sciences at Microscale CAS Key Laboratory of Materials for Energy ConversionDepartment of Materials Science and EngineeringSchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefeiAnhuithe People's Republic of China College of Materials and Energy South China Agricultural UniversityGuangzhouGuangdongthe People's Republic of China Department of Chemistry University of VictoriaVictoriaBritish ColumbiaCanada

Narrowband photodetectors conventionally rely on optical structure design orbandpass filters to achieve the narrowband regime. Recently, a strategy forfilterless narrowband photoresponse based on the charge collection narrowing(CCN) mechanism was reported. However, the CCN strategy requires an electrically and optically “thick” photoactive layer, which poses challenges in controlling the narrowband photoresponse. Here we propose a novel strategy forconstructing narrowband photodetectors by leveraging the inherent ion migration in perovskites, which we term “band modulation narrowing” (BMN). Bymanipulating the ion migration with external stimuli such as illumination,temperature, and bias voltage, we can regulate in situ the energy-band structure of perovskite photodetectors (PPDs) and hence their spectral *** the Fermi energy levels obtained by the Kelvin probe force microscopy, the internal potential profiles from solar cell capacitance simulator simulation, and the anion accumulation revealed by the transient ion-drifttechnique, we discover two critical mechanisms behind our BMN strategy: theextension of an optically active but electronically dead region proximal to the top electrode and the down-bending energy bands near the electron transportlayer. Our findings offer a case for harnessing the often-annoying ionmigration for developing advanced narrowband PPDs.

关键词： band structure ion migration narrowband detection perovskite spatial distribution of charge carriers

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拟议中6类、7类布线系统的性能和应用前景

建筑电气 2000年第2期19卷 30-35页

作者：陈世和上海现代建筑设计集团 200041

计算机与网络越来越快的速度对布线的性能提出了更高的要求。现有5类布线是否还能满足未来发展的需求?虽然厂商已推出了超5类、6类、7类产品,但国际上关于6类、7类布线的标准却迟迟没有正式发布。本文仅从实际应用的需求出发,试对拟议中... 详细信息

计算机与网络越来越快的速度对布线的性能提出了更高的要求。现有5类布线是否还能满足未来发展的需求?虽然厂商已推出了超5类、6类、7类产品,但国际上关于6类、7类布线的标准却迟迟没有正式发布。本文仅从实际应用的需求出发,试对拟议中的6类、7类布线的性能指标及其应用前景进行分析。

关键词：综合布线双绞线链路信道

Generalized Predictive Fuzzy Control of Coordinated Control System of Thermal Power Plant

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Generalized Predictive Fuzzy Control of Coordinated Control ...

2015 3rd International Conference on Machinery,Materials and Information Technology Applications(ICMMITA 2015)

作者： shihe chen Xi ZHANG Li ZHANG Jianguo DUAN Bingju WANG Yuguang NIU Zhongwei LIN Electric Power Research Institute of Guangdong Power Grid Corporation School of control and computer engineering North China Electric Power University

In view of the nonlinearity and coupling in the coordinated control system（CCS） of thermal power plants, the paper introduces a Takagi-Sugeno（T-S） fuzzy model based generalized predictive control（GPC） of CCS. First, a T-S fuzzy model with three chosen typical operating point is employed to approximate the nonlinearity of the CCS of the thermal power plant. Then, based on the obtained T-S fuzzy model, a GPC controller is developed to achieve a desired performance. Finally, a living example of a 330MW thermal power unit is used to demonstrate GPC controller.

关键词： thermal power plants coordinated control system T-S fuzzy model generalized predictive control

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基于KPCR的发电机组参数预测与估计

电力自动化设备 2010年第10期30卷 54-57页

作者：张曦陈世和朱亚清阎威武广东电网公司电力科学研究院广东广州510600 上海交通大学自动化系上海200240

为了解决机组运行过程中参数失效和优化过程中参数计算的问题,提出了基于核回归(KPCR)的发电机组参数预测和估计方法。首先用正常数据建立机组参数的预测和估计模型,确定各变量之间的回归关系,然后将其用于参数的在线预测与估计。该方... 详细信息

为了解决机组运行过程中参数失效和优化过程中参数计算的问题,提出了基于核回归(KPCR)的发电机组参数预测和估计方法。首先用正常数据建立机组参数的预测和估计模型,确定各变量之间的回归关系,然后将其用于参数的在线预测与估计。该方法可以有效地捕捉变量间的非线性关系,参数预测和估计效果明显好于偏最小二乘回归(PLS)和主元回归(PCR)等线性回归方法。某电厂1000 MW发电机组烟气含氧量历史特征数据集仿真试验证明了该方法的有效性。

关键词：核回归核主元分析参数估计推断控制