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Major strategies for improving the performance of perovskite solar cells

iEnergy 2023年第3期2卷 172-199页

作者： Lixiu Zhang Hang Li Kai Zhang Wenzhe Li Chuantian Zuo George Omololu Odunmbaku Jingde Chen Cong Chen Luozheng Zhang Ru Li Yuping Gao Baomin Xu Jiangzhao Chen Yongsheng Liu Yang Wang Yanlin Song Jianxin Tang Feng Gao Qing Zhao Yong Peng Mingzhen Liu Lei Tao Yuelong Li Zhimin Fang Ming Cheng Kuan Sun Dewei Zhao Yixin Zhao Shihe Yang Chenyi Yi Liming Ding Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Shenzhen Graduate School Peking UniversityShenzhen 518055China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China College of Materials Science and Engineering&Engineering Research Center of Alternative Energy Materials&Devices Sichuan UniversityChengdu 610065China School of Energy&Power Engineer-ing Chongqing UniversityChongqing 400044China Institute for Energy Research Jiangsu UniversityZhenjiang 212013China Institute of New Energy Technology Department of Electronic EngineeringCollege of Information Science and TechnologyJinan UniversityGuangzhou 510631China Institute of Functional Nano&Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China College of Optoelectronic Engineering Chongqing UniversityChongqing 400044China College of Chemistry Nankai UniversityTianjin 300071China Institute of Chemistry Chinese Academy of SciencesBeijing 100190China State Key Lab for Mesoscopic Physics and Frontiers Science Center for Nano-optoelec-tronics School of PhysicsPeking UniversityBeijing 100871China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Photoelectronic Thin Film Devices and Technology Nankai UniversityTianjin 300350China School of Materials Science and Engineering Shaanxi Normal UniversityXi’an 710119China

Metal halide perovskite solar cell(PSC)has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past *** remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques,especially the effective management of surface and interfacial defects in recent ***,we summarized the current trends in performance enhancement for PSCs,with a focus on the generally applicable strategies in high-performance works,involving deposition methods,compositional engineering,additive engineering,crystallization manipulation,charge transport material selection,interfacial passivation,optical coupling effect and constructing tandem solar *** directions and perspectives are also provided.

关键词： Perovskite solar cells efficiency improvement strategies milestones

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An Optimal Framework for SDN Based on Deep Neural Network

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computers, Materials & Continua 2022年第10期73卷 1125-1140页

作者： Abdallah Abdallah Mohamad Khairi Ishak Nor Samsiah Sani Imran Khan Fahad RAlbogamy Hirofumi Amano Samih M.Mostafa Department of Industrial Engineering School of Applied Technical Sciences German Jordanian UniversityAmman35247Jordan School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal14300Malaysia Center for Artificial Intelligence Technology Faculty of Information Science and TechnologyThe National University of Malaysia(UKM)Bangi43600SelangorMalaysia Department of Electrical Engineering University of Engineering and TechnologyPeshawar814Pakistan Turabah University College Computer Sciences ProgramTaif UniversityTaif21944Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

Software-defined networking(SDN)is a new paradigm that promises to change by breaking vertical integration,decoupling network control logic from the underlying routers and switches,promoting(logical)network control centralization,and introducing network ***,the controller is similarly vulnerable to a“single point of failure”,an attacker can execute a distributed denial of service(DDoS)attack that invalidates the controller and compromises the network security in *** address the problem of DDoS traffic detection in SDN,a novel detection approach based on information entropy and deep neural network(DNN)is *** approach contains a DNN-based DDoS traffic detection module and an information-based entropy initial inspection *** initial inspection module detects the suspicious network traffic by computing the information entropy value of the data packet’s source and destination Internet Protocol(IP)addresses,and then identifies it using the DDoS detection module based on *** assaults were found when suspected irregular traffic was *** reveal that the algorithm recognizes DDoS activity at a rate of more than 99%,with a much better accuracy *** false alarm rate(FAR)is much lower than that of the information entropy-based detection ***,the proposed framework can shorten the detection time and improve the resource utilization efficiency.

关键词： Deep neural network computer networks data security optimization

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BER Improvement of Cooperative Spectrum Sharing of NOMA in 5G Network 3

BER Improvement of Cooperative Spectrum Sharing of NOMA in 5...

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3rd IEEE International Maghreb Meeting of the Conference on sciences and Techniques of Automatic Control and computer engineering, MI-STA 2023

作者： Hassan, Mohamed Saeed, Rashid A. Mokhtar, Rania A. Hamid, Khalid Ali, Elmustafa Sayed Odeh, Nidhal Singh, Manwinder Khalifa, Othman O. Islam, Shayla Lovely Professional University Department of Wireless Communication Punjab Phagwara144001 India Taif University Department of Computer Engineering College of Computers and Information Technology Taif21944 Saudi Arabia University of Science & Technology Department of Communication Systems Engineering Omdurman Sudan Department of Electronics Engineering Khartoum Sudan University of Wollongong School of Electrical Computer and Telecommunications Engineering Australia International Islamic University Malaysia Department of Electrical and Computer Engineering Gombak Malaysia Libyan Center for Engineering Resarch and Information Technology Bani Waleed Libya Institute of Computer Science and Digital Innovation Ucsi University Malaysia Department of Computer Science Kuala Lumpur56000 Malaysia

ISBN: (纸本)9798350319897

Non-orthogonal multiple access is one of the best methods for addressing the needs of 5G wireless services (NOMA). The proliferation of mobile devices in recent years has increased the importance of cooperative spectrum sharing and utilization in wireless communication due to increases in the bit error rate (BER) brought on by collisions and interference. In this study, MIMO and Massive MIMO (M-MIMO) in the downlink (DL) NOMA power domain (PD) in conjunction with the Cooperative Cognitive Radio Network are proposed as two new ways for improving and evaluating BER in the 5G network (CCRN). Customers of NOMA compete for available channels on the CCRN in this first strategy. The second approach creates a dedicated channel for NOMA users. Three scenarios with varying distances, power location coefficients, and transmission power are used to evaluate the proposed methods in the MATLAB software program. It is assumed that four users will share a 90 MHz BW using QPSK modulation in all three scenarios. When evaluating the performance of the suggested system under the presumption of frequency-selective Rayleigh fading, concurrent interference cancellation (SIC) and unstable channel conditions are also considered. © 2023 IEEE.

关键词： 5G mobile communication systems

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Lossy Compression of Multi-Channel EEG and PPG Signals Based on Golomb-Rice Coding with Parameter Estimation

Lossy Compression of Multi-Channel EEG and PPG Signals Based...

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International Conference on Advanced Technologies for Communications, ATC

作者： Senura Hansaja Wanasekara Han Huy Dung Ngoc Hung Nguyen Van-Dinh Nguyen College of Engineering and Computer Science & Center for Environmental Intelligence VinUniversity Hanoi Vietnam School of Electrical and Electronic Engineering Hanoi University of Science and Technology

ISBN: (数字)9798350353983

ISBN: (纸本)9798350353990

The integration of electroencephalography (EEG) and photoplethysmography (PPG) in consumer-grade wearable devices is revolutionizing healthcare by enabling continuous health monitoring. However, these devices face significant challenges in terms of power consumption, computational complexity, and data storage, necessitating efficient data compression techniques. This paper proposes a modified Golomb-Rice coding method tailored for lossy compression of multi-channel EEG and PPG signals. By leveraging the statistical properties of filtered data and employing an optimized parameter estimation strategy, the proposed method achieves high compression ratios while minimizing computational overhead and preserving critical signal information. The proposed algorithm shifts data to handle negative values, scales and converts it into an appropriate format for encoding, and uses a novel parameter estimation technique to optimize the Golomb-Rice parameter. Extensive simulations on EEG and PPG datasets demonstrate that this parameter estimation method yields significantly better performance, improving both efficiency and processing speed. Results underscore the importance of preprocessing in data compression and provide a robust framework for future advancements in biomedical signal processing.

关键词： Parameter estimation Signal processing algorithms Data compression Filtering algorithms Signal processing Brain modeling Electroencephalography Encoding Wearable devices Monitoring

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High-repetition-rate strong-field terahertz source by optical rectification in DSTMS crystals

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High Power Laser science and engineering 2024年第5期12卷 70-75页

作者： Zhuorui Zheng Kang Wang Hongyang Li Xianze Meng Ye Tian Liwei Song State Key Laboratory of High Field Laser Physics and CAS Center for Excellence in Ultra-intense Laser Science Shanghai Institute of Optics and Fine MechanicsChinese Academy of SciencesShanghaiChina Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijingChina School of Optical-Electrical and Computer Engineering University of Shanghai for Science and TechnologyShanghaiChina School of Physics Science and Engineering Tongji UniversityShanghaiChina

We present the generation of high-repetition-rate strong-field terahertz(THz)pulses from a thin 4-N,N-dimethylamino-4’-N’-methyl-stilbazolium 2,4,6-trimethylbenzenesulfonate(DSTMS)organic crystal pumped by an ytterbium-doped yttrium aluminum garnet *** generated THz pulse energy reaches 932.8 nJ at 1 kHz repetition rate,with a conversion efficiency of 0.19%and a peak electric field of 819 kV/*** a repetition rate of 10 kHz,it is able to maintain a peak electric field of 236 kV/cm and an average THz power of 0.77 *** high-repetition-rate,strong-field THz source provides a convenient tool for the study of THz matter manipulation and THz spectroscopy.

关键词： high repetition rate optical rectification strong-field terahertz source

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Microfabricated polymer-metal biosensors for multifarious data collection from electrogenic cellular models

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Microsystems & Nanoengineering 2023年第2期9卷 167-180页

作者： Charles M.Didier Julia F.Orrico Omar S.Cepeda Trres Jorge Manrique Castro Aliyah Baksh Swaminathan Rajaraman NanoScience Technology Center University of Central Florida4353 Scorpius StreetResearch ISuite 231FL 32816 OrlandoUSA Burnett School of Biomedical Sciences University of Central Florida6900 Lake Nona BlvdFL 32827 OrlandoUSA Department of Biomedical Engineering Polytechnic University of Puerto Rico37700918Ponce de LeonSan JuanPuerto Rico Department of Electrical and Computer Engineering University of Central Florida4238 Scorpius StreetFL 32816 OrlandoUSA Department of Materials Science and Engineering University of Central Florida12760 Pegasus DriveEngineering ISuite 207FL 32816 OrlandoUSA

Benchtop tissue cultures have become increasingly complex in recent years,as more on-a-chip biological technologies,such as microphysiological systems(MPS),are developed to incorporate cellular constructs that more accurately represent their respective biological *** MPs have begun facilitating major breakthroughs in biological research and are poised to shape the field in the coming *** biological systems require integrated sensing modalities to procure complex,multiplexed datasets with unprecedented combinatorial biological *** this work,we expanded upon our polymer-metal biosensor approach by demonstrating a facile technology for compound biosensing that was characterized through custom modeling *** reported herein,we developed a compound chip with 3D microelectrodes,3D microfluidics,interdigitated electrodes(IDEs)and a *** chip was subsequently tested using the electrical/electrochemical characterization of 3D microelectrodes with 1 kHz impedance and phase recordings and IDE-based high-frequency(-1 MHz frequencies)impedimetric analysis of differential localized temperature recordings,both of which were modeled through equivalent electrical circuits for process parameter ***,a simplified antibody-conjugation strategy Was employed for a similar IDE-based analysis of the implications of a key analyte(L-glutamine)binding to the equivalent electrical ***,acute microfluidic perfusion modeling was performed to demonstrate the ease of microfluidics integration into such a polymer-metal biosensor platform for potential complimentary localized chemical ***,our work demonstrates the design,development,and characterization of an accessibly designed polymer-metal compound biosensor for electrogenic cellular constructs to facilitate comprehensive MPS data collection.

关键词： polymer recording breakthrough

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3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm for Single Objective Optimization

3-sCHSL: Three-Stage Cyclic Hybrid SFS and L-SHADE Algorithm...

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2023 IEEE Congress on Evolutionary Computation, CEC 2023

作者： Abdel-Nabi, Heba Ali, Mostafa Z. Awajan, Arafat Alazrai, Rami Daoud, Mohammad I. Suganthan, Ponnuthurai N. Reynolds, Robert Princess Sumaya University for Technology Department of Computer Science Amman Jordan Jordan University of Science & Technology Faculty of Computer & Information Technology Irbid Jordan Mutah University Computer Science Department Karak Jordan German Jordanian University Department of Computer Engineering Amman Jordan School of Electrical & Electronic Engineering Nanyang Technological University Singapore Kindi Center for Computing Research College of Engineering Qatar University Doha Qatar College of Engineering Wayne State University Detroit United States

ISBN: (纸本)9798350314588

This paper proposes a novel hybridization of two metaheuristic algorithms to solve the real-parameter single objective numerical optimization problems. The proposed Three-stage Cyclic Hybrid SFS and L-SHADE (3-sCHSL) algorithm integrates the high-level interactions of Stochastic Fractal Search (SFS) and L-SHADE algorithms in a single framework. Furthermore, a guided control population initialization strategy is injected in 3-sCHSL to address the stagnation and diversity loss issues as the evolution process evolves. The performance of the proposed algorithm is tested under different complexity levels of different transformations of the CEC 2021 benchmark suite with dimension 20. The experimental results demonstrated the efficiency and competitiveness of the proposed algorithm against recent state-of-the-art algorithms. In addition, 3-sCHSL achieved a superior performance when evaluating two engineering design problems. © 2023 IEEE.

关键词： Optimization

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Vector angle-based and ISDE+ indicator selection for many-objective evolutionary optimization 3

Vector angle-based and ISDE+ indicator selection for many-ob...

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3rd International Conference on Electronic Information engineering, Big Data, and computer technology, EIBDCT 2024

作者： Liu, Peng Chen, Hanning Liu, Keyi Wang, Guopeng Song, Lizhe Xia, Yelin Jia, Kun School of Computer Science and Technology Tiangong University Tianjin300387 China College of Artificial Intelligence Tianjin University of Science and Technology Tianjin300457 China School of Mechanical and Electrical Engineering Xinjiang Institute of Engineering Xinjiang Wulumuqi830023 China The Open University of China Beijing100039 China Engineering Research Center of Integration and Application of Digital Learning Technology Ministry of Education Beijing100039 China Jingwei Textile Machinery Beijing00176 China

ISBN: (纸本)9781510680449

Many-objective optimization problems are challenging for the majority of extant multi-objective evolutionary algorithms to solve because they are unable to strike a balance between diversity and convergence in the high-dimensional objective space. Therefore, for many-objective evolutionary optimization, this paper proposes a vector angle-based and ISDE+ indicator selection strategies. Using these two strategies, the worst individual are repeatedly removed from the population through environmental selection. More specially, the first one is aimed at finding any two individuals that have the smallest vector angle, which indicates that they are looking in the same research direction. The latter considers the individuals with poor convergence and diversity, which are eliminated according to the value of ISDE+ indicator one by one. Experimental results revel that the proposed algorithm obtains competitive advantages on various benchmark problems with up to 10 objectives, when the proposed algorithm is compared with several state-of-the-art many-objective algorithms. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Vectors

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Soliton Vortex Comb Generation in an AlGaAs Microresonator for Self-Torque Pulse Synthesis

Soliton Vortex Comb Generation in an AlGaAs Microresonator f...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Liu, Y. Chen, B. Zhou, Y. Ye, C. Cao, Q. Huang, P. Kim, C. Zheng, Y. Oxenløwe, L.K. Yvind, K. Li, J. Li, J. Zhang, Y. Dong, C. Fu, S. Zhan, Q. Wang, X. Liu, J. Pu, M. DTU Electro Department of Electrical and Photonics Engineering Technical University of Denmark Kgs. LyngbyDK-2800 Denmark State Key Laboratory of Optoelectronic Materials and Technologies School of Physics School of Electronics and Information Technology Sun Yat-sen University Guangzhou China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai China Zhangjiang Laboratory Shanghai China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei China Institute of Advanced Photonics Technology School of Information Engineering Guangdong University of Technology Guangzhou China Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area Shenzhen China

We demonstrate bright soliton generation at room temperature within a grating-dressed AlGaAs-on-insulator microresonator and the simultaneous emission of phase-locked vortices, enabling the synthesis of self-torque pu... 详细信息

ISBN: (纸本)9781957171395

关键词： Microcavities

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Soliton Vortex Comb Generation in an AlGaAs Microresonator for Self-Torque Pulse Synthesis

Soliton Vortex Comb Generation in an AlGaAs Microresonator f...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

关键词： Microresonators

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