Article
Engineering, Electrical & Electronic
Kaoming Chen, Fei Yu, Wanling Deng, Xia Wu, Chuanzhong Xu, Gongyi Huang, Junkai Huang
Summary: A lumped-parameter circuit model was proposed to describe the S-shaped I-V characteristics with current kinks exhibited in perovskite solar cells. The model, based on physics, accurately represents the electrical effect of the electrode contact interface and provides a single-piece formula for efficient descriptions of current kinks. The proposed Difference-Microvariation principle serves as a useful tool to compactly implement the lumped-parameter model into TCAD simulators of PSCs.
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Malik Muhammad Asif Iqbal, Muhammad Yasir Mehboob, Talha Hassan
Summary: The study designs a new series of tetracyclic dithienocyclopentapyran compounds containing 2H-pyran, which exhibit high absorption and charge transfer performance, making them potential candidates for high-performance organic solar cells.
MATERIALS SCIENCE IN SEMICONDUCTOR PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Jingxian Liu, Bohao Yu, Kaoming Chen, Wanling Deng, Yuzhao Yang, Junkai Huang
Summary: In our experimental preparation of perovskite solar cells (PSCs), the current-voltage (I-V) characteristics showed S-shaped kinks appearance, disappearance, and reappearance when changing the thickness of the electron transport layer (ETL) from thin to thick. A lumped-parameter equivalent circuit model is proposed to explain the intrinsic physical significances of the S-shaped kinks for this variation. The explicit solution of the model is derived using the deformed difference-microvariation (DM) principle combined with the region method, and the model parameters are efficiently extracted through the firefly optimization algorithm (FA). The proposed analytical solution enables the compact implementation of the model in photovoltaic devices and circuit simulators, providing guidance for device process optimization.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Engineering, Electrical & Electronic
Jose Carlos Perez-Martinez, Diego Martin-Martin, Gonzalo del Pozo, Belen Arredondo, Enrique Hernandez-Balaguera, Beatriz Romero
Summary: The appearance of kinks in the fourth quadrant of current-voltage curves significantly decreases the efficiency of photovoltaic solar cells. In this study, Mazhari's three-diode equivalent circuit is used to model the S-shaped J-V curves of perovskite solar cells, and the dependence of circuit parameters on carrier mobility and defect density is discussed.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2022)
Article
Computer Science, Artificial Intelligence
Kulandaivel Balakrishnan, Ramasamy Dhanalakshmi, Gopalakrishnan Seetharaman
Summary: The African vulture optimization algorithm (AVOA) is a metaheuristic algorithm that imitates the eating and movement patterns of African vultures. It has been developed to address continuous optimization problems. To solve discrete search space problems, a binary version of AVOA (BAVOA) is proposed for feature selection problems in classification tasks. Experimental results show that BAVOA outperforms conventional binary metaheuristic algorithms in terms of classification accuracy, fitness function, number of selected features, and converging ability.
Article
Computer Science, Artificial Intelligence
Prachi Agrawal, Talari Ganesh, Diego Oliva, Ali Wagdy Mohamed
Summary: This study presents the challenging task of searching for the optimal feature subset from original datasets using metaheuristic algorithms in machine learning. The recently developed GSK algorithm demonstrates excellent performance in solving feature selection problems, with the use of population reduction schemes and transfer functions to enhance efficiency.
APPLIED INTELLIGENCE
(2022)
Article
Engineering, Electrical & Electronic
Preeti Singh, Vandana Kumari, Manoj Saxena, Mridula Gupta
Summary: Extensive simulations were conducted for optimizing the device design of an AlGaN/GaN Dual-Gate MISHEMT for high power switching applications. Various dimensions such as gate distances and gate insulator materials significantly affect the breakdown characteristics and frequency performance of the device. Using different gate combinations, improvements in breakdown voltage and Johnson's figure of merit were achieved for the DG-MISHEMT structure with HfO2-Al2O3 as gate insulator.
JOURNAL OF COMPUTATIONAL ELECTRONICS
(2021)
Article
Computer Science, Artificial Intelligence
Kushal Kanti Ghosh, Ritam Guha, Suman Kumar Bera, Neeraj Kumar, Ram Sarkar
Summary: Feature selection is a core concept in machine learning and data mining, aiming to eliminate irrelevant or partially relevant features to improve model performance. Researchers have applied various meta-heuristic optimization techniques to overcome the limitations of traditional approaches. The new FS approach based on the Manta ray foraging optimization algorithm outperforms state-of-the-art methods in terms of classification accuracy and number of features selected.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Nouha Alcheikh, Hassen M. Ouakad, Sofiane Ben Mbarek, Mohammad Younis
Summary: This study experimentally and theoretically investigates mode crossing and mode veering in a V-shaped micro-beam under different excitation conditions. Analytical results based on a reduced-order model are compared with experimental data, showing good agreement. The effects of the micro-beam shape profile and length on the vibration behavior are discussed.
JOURNAL OF MICROELECTROMECHANICAL SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Yang Li, Yuan Gao, Yan Zhang, Jinjun Liu, Cheng Nie
Summary: With the increasing use of SiC MOSFET in power electronic equipment, it is important to accurately extract typical waveforms and characteristics for device manufacture, converter design, and operating evaluation. This article reveals the v(GS) measurement deviation during the switching process and crosstalk, and proposes an improved v(GS) extraction method to eliminate this deviation. Experiments verify the analysis of measurement deviation and the effectiveness of the proposed method, emphasizing its necessity in high-capacity and low-driving-resistor applications.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Biochemistry & Molecular Biology
Shanglin Luo, Mingfang Huo, Qin Xue, Guohua Xie
Summary: This study investigates the physical mechanism behind the S-shaped deformation of the J-V curve in inverted organic photovoltaic devices. Through experiments and numerical simulations, it is found that electron traps are the main cause of the S-shaped deformation. The open circuit voltage can be enhanced by introducing a dopant of cesium carbonate to eliminate the electron traps.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Physical
He Zhang, Li Wang, Cun Zhang, Jiangpeng Shu, Kangxu Huang, Ying Song
Summary: This paper proposes a method to improve the V-Q-x relationship of TENGs by separating the stable periodic term and the damping term. The modified theoretical relationship is verified through experimental results. This modification allows for more accurate prediction of the output performance of TENG-based energy harvesting devices and provides theoretical guidance for sensors based on TENGs to invert monitoring target information.
Article
Engineering, Civil
Shi Zheng, Zhong Yifeng, Liu Rong, Peng Xiao
Summary: The study investigated the structure of composite sandwich folded plate, with the accuracy and effectiveness of the model verified through simplification to constitutive modeling and global analysis. The optimal performance conditions were determined based on layup configurations and core structural parameters.
THIN-WALLED STRUCTURES
(2022)
Article
Energy & Fuels
Xiaohan Guo, Xu Han, Junjun Lin, Shitong Liu, Zhonghe Han
Summary: This paper introduces an eccentric V-shaped fin latent heat storage unit and studies its performance and the influence of fin arrangement and distribution on the melting process. The fin structure is optimized using the response surface method. The results show that changing the fin arrangement and distribution, combined with eccentricity and V-shaped fins, can greatly shorten the total melting time.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Artificial Intelligence
Min Zhang, Jie-Sheng Wang, Jia-Ning Hou, Hao-Ming Song, Xu-Dong Li, Fu-Jun Guo
Summary: In this paper, a ReliefF-guided novel binary equilibrium optimizer (RG-NBEO) is proposed for feature selection. The proposed method can effectively improve the classification accuracy while reducing the dimensionality of the dataset.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
