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Adhesively Bridging Co-Self-Assembled Monolayer and Perovskite Via In Situ Polymerization for Enhanced Stability of Inverted Perovskite Solar Cells

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advanced materials (Deerfield Beach, Fla.) 2025年 e2505745页

作者： Xiaowei Xu Sibo Li Chengwei Shan Wenbo Peng You Chen Shangzhi Li Haichen Peng Tingting Dai Erjun Zhou Yang Bai Longbin Qiu Pingping Sun Baomin Xu Aung Ko Ko Kyaw Department of Electronic & Electrical Engineering Southern University of Science and Technology Shenzhen 518055 P. R. China. Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems Department of Mechanical and Energy Engineering SUSTech Energy Institute for Carbon Neutrality Southern University of Science and Technology Shenzhen 518055 P. R. China. Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen Guangdong 518055 P. R. China. Institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 P. R. China. Michael Grätzel Center for Mesoscopic Solar Cells Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan Hubei 430074 P. R. China. College of Biological Chemical Sciences and Engineering Jiaxing University Jiaxing Zhejiang 314001 P. R. China. School of Chemistry and Chemical Engineering Hainan University Haikou 570228 P. R. China.

The strategic utilization of self-assembled monolayers (SAMs) significantly advances the interfacial contact and power conversion efficiency (PCE) of inverted perovskite solar cells (IPSCs). However, inadequate adhesion between the SAM and perovskite layer remains a critical challenge, limiting further performance enhancement. Herein, a synergistic interface engineering strategy is introduced that combines a co-assembly approach with in situ polymerization to optimize the buried interface of perovskite film. Specifically, 11-Mercaptoundecylphosphoric acid (MPA) is incorporated into a SAM to form co-SAMs, improving homogeneity and mitigating defects at the NiO surface. Simultaneously, the ionic liquid (IL) monomer 1-Allyl-3-vinylimidazolium bis((trifluoromethyl)sulfonyl) imide (AVMTF) is incorporated into the perovskite precursor. The aggregation of ILs cation at the bottom interface facilitates in situ polymerization via sulfhydryl end groups, forming the POL-AVM polymer at the perovskite/SAM interface. This polymer enhances interfacial adhesion, regulates perovskite crystallization, and reinforces structural integrity by strongly anchoring organic cations through multiple hydrogen bonds. As a result, this synergistic strategy achieves a champion PCE of 26.25% (certified 26.04%), along with excellent long-term stability, retaining 95.6% of its initial efficiency after 1000 h of continuous operation under the ISOS-L-2I protocol.

关键词： Co‐SAMs adhesion in situ polymerization inverted planar perovskite solar cells long‐term stability

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Influence of B 4 C alloying on the phase stability of Fe-Mn-Co-Cr-Si high entropy alloys fabricated using laser powder bed fusion

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Materials Science and Engineering: A 2025年 941卷

作者： I.A.B. Moura G.G. Ribamar P. Agrawal A. Roy J. Shen P. Freitas Rodrigues E. Maawad N. Schell A.B. Pereira J.P. Oliveira R.S. Mishra UNIDEMI Department of Mechanical Engineering NOVA School of Science and Technology Universidade NOVA de Lisboa Caparica 2829-516 Portugal Center for Friction Stir Processing Department of Materials Science and Engineering University of North Texas Denton TX 76203 USA CEMMPRE ARISE Department of Mechanical Engineering University of Coimbra Coimbra 3030-788 Portugal CENIMAT/I3N Department of Materials Science NOVA School of Science and Technology Universidade NOVA de Lisboa Caparica 2829-516 Portugal TEMA—Centre for Mechanical Technology and Automation Department of Mechanical Engineering Campus de Santiago University of Aveiro 3810-193 Aveiro Portugal Institute of Materials Physics Helmholtz-Zentrum Hereon Max-Planck-Str. 1 Geesthacht D-21502 Germany Advanced Materials and Manufacturing Processes Institute University of North Texas Denton TX 76207 USA

This study investigates the impact of 0.25 wt% B 4 C addition on the microstructure, phase stability, and mechanical properties of metastable Fe 40 Mn 20 Co 20 Cr 15 Si 5 (at.%) high-entropy alloys (HEAs) fabricated via laser powder bed fusion (LPBF). A comparative analysis between B 4 C-containing (BC) and B 4 C-free (CS) alloys explored the influence of varying LPBF parameters. Electron backscattered diffraction (EBSD) revealed a strong dependence of microstructure on laser power and scanning speed in CS alloys, with significant variations in grain size and morphology. Conversely, BC alloys exhibited enhanced microstructural stability, indicating a more robust grain growth mechanism due to the influence of B 4 C. B 4 C addition also promoted grain refinement and stabilized the γ-f.c.c. phase. Mechanical testing showed a substantial increase in yield strength (YS) from 508 MPa (CS) to 670 MPa (BC) and a moderate increase in ultimate tensile strength (UTS) from 843 MPa (CS) to 854 MPa (BC). However, ductility decreased from 25 % to 5 %. Critically, synchrotron X-ray diffraction revealed deviations from the ideal c/a ratio (1.633) for both alloys. CS alloys showed an increase in c/a ratio after tensile deformation, indicative of a deformation-induced phase transformation, while BC alloys exhibited a decrease, suggesting a distinct deformation mechanism. This novel observation provides key insights into the role of B 4 C in controlling the deformation behavior of this HEA.

关键词： X-ray synchrotron radiation Martensitic phase transformation Phase stability High entropy alloys

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A robot method based on self-adjusting factor fuzzy control algorithm for the seam tracking

A robot method based on self-adjusting factor fuzzy control ...

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IEEE International Conference on robotics and Biomimetics

作者： Yong Tao Fan Ren Jing Yang Tianmiao Wang Chaoyong Chen Shan Jiang Beijing Advanced Innovation Center for Intelligent Robots and System Beihang University Beijing China School of Mechanical Engineering & Automation Beihang University Beijing China Science and Technology on Power Beam Processes Laboratory AVIC Manufacturing Technology Institute Beijing China Wuhan University of Science and Technology Wuhan China

This paper proposes a method for the seam tracking based on the self-adjusting factor fuzzy control algorithm. The method studies the self-adjusting factor with real-time variation of seam track deviation, and improves welding adaptability and dynamic performance. We combine the structured light vision sensor, image processing technology and robot to extract the seam track to the robot in real time. We use the self-adjusting factor fuzzy control algorithm to achieve smooth adaptive seam tracking. Finally, the simulation experiments show that the control method has good control precision and effectively improves the welding precision.

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A Scalable Deep Attention Mechanism of Instance Segmentation for the Investigation of Chromosome

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SLAS technology 2025年 33卷 100306页

作者： Neelam Umbreen Sara Ali Hasan Sajid Yasar Ayaz Shrooq Alsenan Yunyoung Nam So Yeon Kim Muhammad Baber Sial National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan Suzhou Industrial Park (SIP) Monash Research Institute of Science and Technology Monash University 8Q9C+R6W Suzhou Jiangsu China. School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory Pakistan Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: sarababer@smme.nust.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: yasar@smme.nust.edu.pk. Information Systems Department College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang University Asan 31538 Korea. Electronic address: ynam@sch.ac.kr. Department of Artificial Intelligence Department of Software and Computer Engineering Ajou University. Electronic address: jebi1771@ajou.ac.kr. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: babersial@***.

Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated datasets. This study proposes a robust instance segmentation framework that integrates an automated annotation pipeline with an enhanced deep learning architecture to address these challenges. A novel dataset is introduced, comprising metaphase images and corresponding karyograms, annotated with precise instance segmentation information across 24 chromosome classes in COCO format. To overcome the labor-intensive manual annotation process, a feature-based image registration technique leveraging SIFT and homography is employed, enabling the accurate mapping of chromosomes from karyograms to metaphase images and significantly improving annotation quality and segmentation performance. The proposed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature Pyramid Network (AttFPN), spatial attention mechanisms, and a LastLevelMaxPool block for superior multi-scale feature extraction and focused attention on critical regions of the image. Experimental evaluations demonstrate the model's efficacy, achieving a mean average precision (mAP) of 0.579 at IoU = 0.50:0.95, surpassing the baseline Mask R-CNN and Mask R-CNN with AttFPN by 3.94% and 5.97% improvements in mAP and AP50, respectively. Notably, the proposed architecture excels in segmenting small and medium-sized chromosomes, addressing key limitations of existing methods. This research not only introduces a state-of-the-art segmentation framework but also provides a benchmark dataset, setting a new standard for chromosome instance segmentation in biomedical imaging. The integration of automated dataset creation with advanced model design offers a scalable and transferable solution, paving the way for tackling similar challenges in other domains of biomedical and cytogenetic imagi

关键词： Chromosome segmentation Instance segmentation, cytogenetics Mask R-CNN attention mechanism biomedical imaging multi-scale feature fusion

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Coordinated Optimization Method of Dual Head Gasoline Blending Under Strict Constraint Conditions

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Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section) 2019年第2期35卷 337-347页

作者： He, Renchu Chen, Haiquan Zhang, Weidong Zhu, Wenqi Key Laboratory of Advanced Control and Optimization Technology for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200072 China Information and Measurement Center Jinling Company SINOPEC Nanjing210033 China Storage and Transportation Department Zhenhai Refining&Chemical Company SINOPEC Ningbo315207 China

For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple brands of gasoline at the same time were developed. Octane number model, vapor pressure model, density model, distillation range model and content attribute model were established. The calculation process of octane number model and distillation range model have been improved, and 12 quality indicators of gasoline can be precisely monitored during the blending process. Considering the actual accumulative blending process, the properties of gasoline in the tank during the blending process should be converted into instantaneous properties zone at the blending head. The optimized properties of the blending head are used to compensate the properties deviation of the amount of blending and the tank bottom oil. Meanwhile, a reasonable and efficient coordination optimization algorithm is used to coordinate the upper limit of the common component oil, which solves the problem of scramble for the common component oil flow in the double blending head in the blending process. The simulation results show that the design method can be applied to the gasoline blending of double head in the field, and can also provide technical support for the upgrading of gasoline blending process under the China Ⅵ gasoline standard. © 2019, Editorial Office of Acta Petrolei Sinica(Petroleum Processing Section). All right reserved.

关键词： Gasoline

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Femtosecond laser bone drilling with the second-harmonic-generation green positioning and on-line spectral monitoring

Femtosecond laser bone drilling with the second-harmonic-gen...

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Frontiers in Optics, FiO_2019

作者： Hu, Guoqing Song, Yang Zheng, Zheng Guan, Yingchun School of Mechanical Engineering and Automation Beihang University Beijing100083 China Hefei Innovation Research Institute of Beihang University Xinzhan Hi-tech District Anhui230012 China School of Electronic and Information Engineering Beihang University Beijing100083 China Beijing Advanced Innovation Center for Big Date-based Precision Medicine Beihang University Beijing100083 China Collaborative Innovation Center of Geospatial Technology 129 Luoyu Road Wuhan430079 China National Engineering Laboratory of Additive Manufacturing for Large Metallic Components Beihang University Beijing100083 China

We experimentally demonstrate a carbide-free femtosecond laser bone drilling with real-time parameter optimization based on on-line spectral monitoring after second-harmonic-generation green positioning, indicating a ... 详细信息

ISBN: (纸本)9781943580675

关键词： Femtosecond lasers

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Evaluation of Charging Profile of Lead Acid Battery used in Electrical Scooter

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Journal of Physics: Conference Series 2020年第3期1529卷

作者： M F Mohd Ab Halim K A M Annuar M H Harun N F Anuar M A'Azam Mohd Abid M A Zainuddin Center for Robotics & Industrial Automation (CeRIA) Faculty of Electrical and Electronic Engineering Technology Universiti Teknikal Malaysia Melaka (UTeM) Malaysia Faculty of Manufacturing Engineering Universiti Teknikal Malaysia Melaka (UTeM) Malaysia Cervello Tress Sdn Bhd

This paper discusses about the charging profile of a lead acid battery used in electrical scooter. Lead acid battery is a robust and widely used in small electric vehicle because of its price tag. It can be considered to be one of the mature battery in the market thus the charger too. Each lead acid battery from different manufacturer possess different characteristic hence not all charger is suitable for any lead acid battery. The experiment was conducted to determine the charging profile of a 12 V cells lead acid battery connected in series to make 48V battery source. The charging current and voltage were logged and analysed for 3 charge rate. The measurement design of experiment is presented in detail as well. The experiment was repeated for at least four times. As the charging rate increase, the time taken for the charging process to complete became shorter. Nevertheless, we saw that the full battery capacity reduced at faster rate for a higher charger rate. The charging profile of the battery are also validated by the single-cell 12V battery to prove the series and parallel charging significance.

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Passivity based Consensus of Multi-agent Systems with Partly Consensusable Topologies by Admissible Edge-dependent Switching

Passivity based Consensus of Multi-agent Systems with Partly...

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Chinese automation Congress (CAC)

作者： Chao Ma Wei Wu Yidao Ji Hang Fu Suiwu Zheng School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing P. R. China Chinese Academy of Sciences Institute of Automation Beijing P. R. China University of Science and Technology Beijing Beijing P. R. China Huizhou Zhongke Advanced Manufacturing Research Center Co. Ltd P. R. China

Our paper studies consensus problem for multi-agent systems (MASs) by switching topologies based on passivity theory. Especially, novel admissible edge-dependent (AED) switching approach is introduced for dealing with the switching topologies containing consensusable and unconsensusable topologies. By virtue of model transformation, sufficient consensus criteria are derived for achieving guaranteed passivity performance, and desired controllers for MASs are further designed. A numerical example is finally presented for demonstrating usefulness of our established approach.

关键词： Topology Switches Network topology Indexes Switched systems Multi-agent systems Switching circuits

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A practical approach for test equipment perception and virtualization in cloud manufacturing

A practical approach for test equipment perception and virtu...

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Chinese Intelligent Systems Conference, CISC 2017

作者： Xu, Yuyan Zhang, Lin Luo, Xiao Zhang, Han School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Engineering Research Center of Complex Product Advanced Manufacturing Systems Ministry of Education Beijing100191 China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (纸本)9789811064982

As an advanced manufacturing paradigm, Cloud manufacturing provides a new way to solve the problems in the testing process. In cloud manufacturing, resource perception and resource virtualization are the foundation of building an actual service platform. According to the characteristic of test equipment, a practical approach for test equipment perception and virtualization is proposed, which is based on cloud computing, Automatic Test Markup Language (ATML) description and data mapping. A test service platform prototype is given to validate the feasibility of this approach. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Virtualization

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A File Encryption Algorithm Based on Dynamic Block out of order Matrix Mapping

A File Encryption Algorithm Based on Dynamic Block out of or...

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2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018

作者： Dong, Tan Wang, Yanxia Lei, Liu Chongqing Radio and Television Digital Media Co. Ltd. Department of Technical Chongqing China Chongqing Academy of Science and Technology Chongqing Research Center for Information and Automation Technology Chongqing China Chongqing University of Posts and Telecommunications School of Advanced Manufacturing Engineering Chongqing China

ISBN: (纸本)9781728105512

In order to solve the security of content transfer during file transfer and fast encryption of large files. This paper proposes a method to quickly encrypt large files and protect the contents of file information, also prevent files from being intercepted and decrypted before use. The algorithm of file encryption based on dynamic block out of order matrix mapping. First, dynamically block the files according to a certain ratio, extract the raw data and key information of each block, then store the out of order data into a two-dimensional table of matrix after calculation and processing. Second, use Base64 encoding on this matrix mapping table. Then the matrix mapping table is to be a unique decryption key of this file. After that, the data in the spare block of the file is filled with the MD5 data, the MD5 data is generated by UUID and block with the same size as the number of dynamic block. The new encrypted file whose length is equal to the original file. Because it is dynamic block and random extracted data, so it is fast and efficient. The experimental results and security analysis show that the algorithm has a good encryption structure and high security, which can effectively resist various attack behaviors. Most of the files that with different types can be used, and the speed to encrypt and decrypt large files is greatly improved compared with the traditional encryption and decryption methods, the speed and efficiency far exceed the traditional file encryption and decryption algorithms, such as AES, DES, 3DES and so on. © 2018 IEEE.

关键词： Mapping

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