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Less-acidic boric acid-functionalized self-assembled monolayer for mitigating NiO_x corrosion for efficient all-perovskite tandem solar cells

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Nature Communications 2025年第1期16卷 1-14页

作者： Wang, Jingnan Jiao, Boxin Tian, Ruijia Sun, Kexuan Meng, Yuanyuan Bai, Yang Lu, Xiaoyi Han, Bin Yang, Ming Wang, Yaohua Zhou, Shujing Pan, Haibin Song, Zhenhuan Xiao, Chuanxiao Liu, Chang Ge, Ziyi Zhejiang Provincial Engineering Research Center of Energy Optoelectronic Materials and Devices Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo 315201 China School of Materials Science and Chemical Engineering Ningbo University Ningbo 315211 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing 100049 China State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing 100084 China

The interfacial contact between NiOx and self-assembled monolayers (SAMs) in wide-bandgap (WBG) subcells limits the efficiency and stability of all-perovskite tandem solar cells (TSCs). The strongly acidic phosphoric ...

The interfacial contact between NiO_x and self-assembled monolayers (SAMs) in wide-bandgap (WBG) subcells limits the efficiency and stability of all-perovskite tandem solar cells (TSCs). The strongly acidic phosphoric acid (PA) anchors in common PA-SAMs corrode reactive NiO_x, undermining device stability. Moreover, SAM aggregation leads to interfacial losses and significant open-circuit voltage (V_OC) deficits. Here, we introduce boric acid (BA) as a milder anchoring group that chemisorbs onto NiO_x via strong –BO2- –Ni coordination. A benzothiophene-fused head group enhances interfacial bonding through S–Ni orbital interactions, yielding higher binding energy than PA-SAMs. This design also promotes homogeneous SAM formation without aggregation. Resultantly, the WBG cell exhibits an improved PCE to 20.1%. When integrated with narrow bandgap (NBG) subcell, the two-terminal (2T) TSCs achieve an ameliorative PCE of 28.5% and maintain 90% of the initial PCE after maximum power point tracking (MPP) under 1 sun illumination for 500 h. © The Author(s) 2025.

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High-temperature superconducting filter using self-embedding asymmetric stepped impedance resonator with wide stopband performance and miniaturized size

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Chinese Physics B 2017年第10期26卷 477-482页

作者：王丹魏斌衡勇曹必松 State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing Institute of Electronic System Engineering

In this study, a novel self-embedding asymmetric stepped impedance resonator （SE-ASIR） topology is proposed. By embedding asymmetric stepped impedance resonators in themselves, circuit sizes of ASIRs can be reduced effectively, while the ability to control spurious modes of ASIRs remains. Therefore, SE-ASIRs are suitable for being used to design filters with wide stopbands and miniaturized sizes. Furthermore, the construction process of the SE-ASIR is described in detail, and an equivalent model of the SE-ASIR is proposed. For demonstration, a high-temperature superconducting bandpass filter centered at 1112 MHz is designed and fabricated. The measured result agrees well with the simulation result and shows that the out-of-band rejection is better than 60 dB up to 4088 MHz, which is about 3.7 times the center frequency. The filter circuit size is 31 mm × 13 mm or 0.28λg × 0.12λg, where g is the guided wavelength at 1112 MHz.

关键词： high-temperature superconducting bandpass filter microstrip filter wide stopband

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Effects of manganese dioxide additives on the electrical characteristics of Al-doped ZnO varistors

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Science China(Technological Sciences) 2011年第8期54卷 2204-2208页

作者： LONG WangCheng HU Jun HE JinLiang LIU Jun ZENG Rong State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing 100084 China

The effects of manganese dioxide (MnO 2 ) additives on the electrical characteristics of the Al-doped ZnO varistors are investigated. The leakage current densities of the samples decrease first and then increase again with the increase of the amount of MnO 2 additives. Correspondingly, the nonlinear coefficients of the samples keep on increasing and then decrease. In addition, the donor densities increase monotonously with the amount of the doped MnO 2 increasing. The effects of MnO 2 additives on the electrical characteristics of the samples are different from the conclusion of previous literatures. The reasons of the distinct effects are supposed to be related with the donor and interface state densities of the samples.

关键词： ZnO varistots manganese dioxide electrical characteristics low residual voltage ratio simulation

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An Adaptive RBF Neural Network Control Method for a Class of Nonlinear systems

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IEEE/CAA Journal of Automatica Sinica 2018年第2期5卷 457-462页

作者： Hongjun Yang Jinkun Liu State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation Science and Electrical Engineering Beihang University Beijing 100083 China

This paper focuses on designing an adaptive radial basis function neural network(RBFNN) control method for a class of nonlinear systems with unknown parameters and bounded disturbances. The problems raised by the unknown functions and external disturbances in the nonlinear system are overcome by RBFNN, combined with the single parameter direct adaptive control method. The novel adaptive control method is designed to reduce the amount of computations *** uniform ultimate boundedness of the closed-loop system is guaranteed by the proposed controller. A coupled motor drives(CMD) system, which satisfies the structure of nonlinear system,is taken for simulation to confirm the effectiveness of the *** show that the developed adaptive controller has favorable performance on tracking desired signal and verify the stability of the closed-loop system.

关键词： Index TermsbAdaptive control neural network （NN） nonlin-ear system radial basis function.

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Research on survivability analysis method of spatial information network based on dynamic cumulative model 6

Research on survivability analysis method of spatial informa...

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6th International Conference on Electronic Information Technology and Computer engineering, EITCE 2022

作者： Zhao, Zhongwen Li, Guodong Lu, Di Key Laboratory of Complex Electronic System Simulation Space Engineering University Beijing China

ISBN: (纸本)9781450397148

In view of the problem that multifunctional hierarchy and dynamic characteristics are not considered simultaneously in the research methods of survivability of spatial information networks. This paper first summarizes the main methods of survivability research and three main attack strategies. Secondly, the idea of data flow and the method of time accumulation graph were integrated into the spatial information network model, and the multi-layer dynamic spatial network accumulation model was established. Finally, the navigation satellite network, communication satellite network and remote sensing satellite network are taken as examples to construct the spatial information network simulation plan, and the attack is carried out according to the three attack strategies, and the survivability of the spatial information network is analyzed. The experimental results verify the rationality of the proposed method and the effectiveness of the index, and explore the rules. © 2022 Association for Computing Machinery.

关键词： Satellites

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Effects of parametric uncertainty on Intertropical Convergence Zone (ITCZ) precipitation: Understanding the role of interactions between parameters in reducing the double ITCZ bias

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Quarterly Journal of the Royal Meteorological Society 2025年

作者： Xie, Feng Guo, Zhun Li, Lijuan Wang, Bin Xue, Wei Pu, Ye Qiu, Xuexing Li, Jinxi Wang, Gen Chen, Jiao Ding, Conghui State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Anhui Meteorological Observatory Hefei China Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Anhui Province Key Laboratory of Atmospheric Science and Satellite Remote Sensing Hefei China Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing China Department of Computer Science and Technology Tsinghua University Beijing China Department of Earth System Science Tsinghua University Beijing China Statel Key Laboratory of Atmospheric Environment and Extreme Meteorology Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China International Center for Climate and Environment Sciences (ICCES) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Electronic Engineering Chaohu University Hefei China

Reducing the double Intertropical Convergence Zone (ITCZ) bias has long been the subject of intensive research among the climate modeling community;however, the role of uncertain moist physical parameters from the atmospheric component model in causing the double ITCZ bias has not been analyzed systematically. This study investigated the potential for reducing the double ITCZ bias through perturbing nine moist physical parameters, using uniform sampling and Latin hypercube sampling methods, and quantified the parametric uncertainty and effects of two-way interactions and overall nonlinear interaction between parameters on ITCZ precipitation in the Grid-Point Atmospheric Model of the IAP/LASG Version 2. Results showed that the double ITCZ bias with excessive precipitation over the central and eastern Pacific south of the equator can be significantly reduced by suppressing deep convection intensity via multiple-parameter perturbation. The uncertainty ranges of the double ITCZ bias associated with multiple-parameter perturbation are apparently larger than those reconstructed from linear superposition of the single-parameter perturbations, thereby highlighting the profound influences of interactions between parameters on ITCZ precipitation. The two-way interaction terms are the primary contributors to the total variance of ITCZ precipitation. The effects of efficiency of precipitation and evaporation for deep convection are highly dependent on the threshold value for relative humidity for deep convection. The overall nonlinear effect among all the parameters tends to sharply exacerbate the bias of ITCZ heavy precipitation and reduce the bias of light precipitation. This strong overall nonlinear interaction among parameters in extreme precipitation simulation plays an important role in causing the double ITCZ bias, and it is closely associated with its impact on the intensity of the total moist processes. These findings validate the feasibility of reducing the double ITC

关键词： double ITCZ bias generalized linear model intensity of total moist processes interactions between parameters parametric uncertainty separation method

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5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Peng, Yafei Yang, Fande Aerospace Engineering University Complex Electronic System Simulation Key Laboratory Beijing China

ISBN: (纸本)9781665415989

In order to improve the decision-making ability of aerospace commanders, aerospace command decision-making theory was studied from the concepts and characteristics of space command decision-making, and various situation information involved in aerospace command decision-making was analyzed, a general process for aerospace command decision-making was established. and the auxiliary technical means of aerospace command decision-making was summarized. It has laid a foundation for aerospace command and decision-making related theories, which is convenient for commanders to clarify the aerospace command and decision-making process, obtain situational knowledge required for decision-making, and improve the timeliness of decision-making. © 2021 IEEE.

关键词： Decision making

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Thermodynamic analysis of a space station remote manipulator with a harmonic drive that considers an integrated thermal protection layer.

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Science China(Technological Sciences) 2015年第11期58卷 1884-1893页

作者： ZHAO JieLiang YAN ShaoZe WU JiaNing MA Wei HAN ZengYao State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing Institute of Spcaecraft System Engineering China Academy of Space Technology

To eliminate anomalies and improve the performance of a space station remote manipulator(SSRM) used in a dynamically changeable thermal environment, we analyze the thermodynamic behavior of an SSRM that considers an integrated thermal protection system(ITPS). Solar radiative heat gain and loss become equally significant as conductive heat transfers through the interior of the SSRM on orbit. A thermodynamic model of the SSRM with a sandwich ITPS structure is established on the coupling between harmonic drive and changeable thermal environment. A motion precision is proposed to evaluate thermodynamic behavior under continuously changeable thermal circumstances. simulation results indicate that the ITPS with a corrugated sandwich structure reduces the maximum amplitude of angular position errors to 41.6%, which helps improve the motion precision of the SSRM. The feasible regions for the SSRM in the Low Earth Orbit(LEO) and Geostationary Earth Orbit(GEO) are analyzed, which shows that the proportion of feasible region in LEO is significantly larger than that in GEO.

关键词： Space station remote manipulator integrated thermal protection system thermal analysis harmonic drive dynamic behavior

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A Noise-Excitation Generative Adversarial Network for Actuator Fault Diagnosis of Multi-legged Robot

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无人系统（英文） 2023年第2期11卷 159-173页

作者： Liling Ma Jian Guo Jiehao Li Junzheng Wang State Key Laboratory of Complex System Intelligent Control and Decision School of Automation Beijing Institute of TechnologyBeijing 100081P.R.China

This research provides a novel approach for detecting multi-legged robot actuator *** most significant concept is to design the Fault Diagnosis Generative Adversarial Network(FD-GAN)to fully adapt to the fault diagnosis problem with insufficient *** found that it is difficult for methods based on classification and prediction to learn failure patterns without enough data.A straightforward solution is to use massive amounts of normal data to drive the diagnostic *** introduce frequency-domain information and fuse multi-sensor data to increase the features and expand the difference between normal data and fault data.A GAN-based framework is designed to calculate the probability that the enhanced data belongs to the normal *** uses a generator network as a feature extractor,and uses a discriminator network as a fault probability evaluator,which creates a new use of GAN in the field of fault *** the many learning strategies of GAN,we find that a key point that can distinguish the two types of data is to use the hidden layer noise with appropriate discrimination as the *** also design a fault location method based on binary search,which greatly improves the search efficiency and engineering value of the entire *** have conducted a lot of experiments to prove the diagnostic effectiveness of our architecture in various road conditions and working *** compared FD-GAN with popular diagnostic *** results show that our method has the highest accuracy and recall rate.

关键词： Actuator fault diagnosis multi-legged robot generative adversarial network attention mechanism

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Modified ddpg algorithm applied to simulation supervised learning 48

Modified ddpg algorithm applied to simulation supervised lea...

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48th International Conference on Computers and Industrial engineering, CIE 2018

作者： Jia, Zhengxuan Xiao, Yingying Zhao, Zhilong Lin, Tingyu State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

With rapid development of machine learning, supervised learning and reinforcement learning have witnessed a considerable success. However, some problems like the absence of supervising signal in supervised learning are not yet solved. In this paper, a novel approach has been proposed based on the deep deterministic policy gradient algorithm to address such kind of problems, forming the training of an agent supervised by the simulation environment. As verification, our proposed approach is applied to a modified tower defense game, and the experimental results confirmed the effectiveness of our proposed approach. © 2018, Curran Associates Inc. All rights reserved.

关键词： Supervised learning

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