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Ultra-flexible semitransparent organic photovoltaics

npj Flexible Electronics 2023年第1期7卷 274-282页

作者： Hanbee Lee Soyeong Jeong Jae-Hyun Kim Yong-Ryun Jo Hyeong Ju Eun Byoungwook Park Sung Cheol Yoon Jong H.Kim Seung-Hoon Lee Sungjun Park Department of Electrical and Computer Engineering Ajou UniversitySuwon 16499Republic of Korea Department of Chemistry and Centre for Processable Electronics Imperial College LondonWhite City W120BZUK Department of Intelligence Semiconductor Engineering Ajou UniversitySuwon 16499Republic of Korea Advanced Photonics Research Institute(APRI) Gwangju Institute of Science and Technology(GIST)Gwangju 61005Republic of Korea Division of Molecular Science and Technology Ajou UniversitySuwon 16499Republic of Korea Division of Advanced Materials Korea Research Institute of Chemical Technology(KRICT)Daejeon 34114Republic of Korea Division of Advanced materials Engineering Kongju National University1223-24 Cheonan-daeroSeobuk-guCheonan-siChungcheongnam-doRepublic of Korea

Ultra-flexible organic photovoltaics(OPVs)are promising candidates for next-generation power sources owing to their low weight,transparency,and ***,obtaining ultra-flexibility under extreme repetitive mechanical stress while maintaining optical transparency remains challenging because of the intrinsic brittleness of transparent ***,we introduce straindurable ultra-flexible semitransparent OPVs with a thickness below 2μ*** conformal surface coverage of nanoscale thin metal electrodes(<10 nm)is achieved,resulting in extremely low flexural rigidity and high strain ***-depth optical and electrical analyses on ultrathin metal electrodes showed that the devices maintain over 73%of their initial efficiency after 1000 cycles of repetitive compression and release at 66%compressive strain,and the average visible light transmittances remain higher than 30%.To our knowledge,this is the first systematical study on mechanical behaviors of strain-durable ultra-flexible ST-OPVs through precise adjustment of each ultrathin electrode thickness toward the emergence of next-generation flexible power sources.

关键词： transparency durability rigidity

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A Real-Time Detection Method of Non-Metallic Threats from Restored Image using Blended Image Network 3

A Real-Time Detection Method of Non-Metallic Threats from Re...

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3rd International Conference on Smart Electronics and Communication, ICOSEC 2022

作者： Sukumar, Binu Balaji, A. Lakshmi, D. Karthikeyan, G. Sobitha, S. Mohanavel, V. R.M.K. Engineering College Department of Civil Engineering Chennai India Rajalakshmi Instittue of Technology Department of Electronics and Communication Engineering Chennai India Panimalar Engineering College Department of Computer Science and Engineering Chennai India Sona College of Technology Department of Electrical and Electronics Engineering Salem India Saveetha School of Engineering Simats Department of Computer Science and Engineering Chennai India Centre for Materials Engineering and Regenerative Medicine Bharath Institute of Higher Education and Research Tamil Nadu Chennai600073 India Chandigarh University Department of Mechanical Engineering Punjab Mohali140413 India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Due to its excellent garment penetration and safety, passive millimeter waves have been used in surveillance assessment. Nevertheless, limited resolution as well as inherent noise is problems with passive millimeter wave imaging (PMWs). The approaches that have been des cribed seldom improve the appearance of pictures for PMW and solely conduct detection system based on selecting relevant PMW that results in a high percentage of false alarms. Furthermore, the changes in grayscale make it challenging to distinguish low-reflective non-metallic dangers. An approach to finding hidden hazards in the human body is suggested in this research. To rebuild high-quality images using multi-source PMWs, this research study proposes a GAN framework. A unique image recognition pipeline is designed by incorporating feature extraction, image normalization, and a thorough analyzer models. The registering system is suggested for analyzing the peronal data as well as the reduction of false alarms, while the categorization network uses multi-scale characteristics to combine the local and global data in both PMWs as well as visible images to gain accurate shape and performance indicators. Allows the prediction for metallic and non-metallic objects may be done using the grayscale and contour characteristics, accordingly. The recognition findings of each individual frame are then combined using a synthetic method. The efficiency of each module and that of the suggested approach is assessed by using the experimental measurements. With 92.35% accuracy and 90.3% recall, experimental findings show that the proposed technique functions better than the other existing techniques. It also has a high detection rate. © 2022 IEEE.

关键词： Image compression

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Machine Learning Reveals Composition Dependent Thermal Stability in Halide Perovskites

arXiv

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arXiv 2025年

作者： Hering, Abigail R. Dubey, Mansha Hosseini, Elahe Srivastava, Meghna An, Yu Correa-Baena, Juan-Pablo Homayoun, Houman Leite, Marina S. Department of Materials Science and Engineering UC Davis Davis95616 United States Department of Electrical and Computer Engineering UC Davis Davis95616 United States School of Materials Science and Engineering Georgia Institute of Technology Atlanta30332 United States Department of Chemistry and Biochemistry Georgia Institute of Technology Atlanta30332 United States

Halide perovskites exhibit unpredictable properties in response to environmental stressors, due to several composition-dependent degradation mechanisms. In this work, we apply data visualization and machine learning (ML) techniques to reveal unexpected correlations between composition, temperature, and material properties while using high throughput, in situ environmental photoluminescence (PL) experiments. Correlation heatmaps show the strong influence of Cs content on film degradation, and dimensionality reduction visualization methods uncover clear composition-based data clusters. An extreme gradient boosting algorithm (XGBoost) effectively forecasts PL features for ten perovskite films with both composition-agnostic (>85% accuracy) and composition-dependent (>75% accuracy) model approaches, while elucidating the relative feature importance of composition (up to 99%). This model validates a previously unseen anti-correlation between Cs content and material thermal stability. Our ML-based framework can be expanded to any perovskite family, significantly reducing the analysis time currently employed to identify stable options for photovoltaics. Copyright © 2025, The Authors. All rights reserved.

关键词： Dimensionality reduction

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An enzyme-free interdigitated electrode for ketamine detection

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Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A 2023年第5期46卷 441-452页

作者： Phan, Thien Luan Van Hieu, Nguyen Lin, Jing-Jenn Wu, Hsing-Ju Chu, Pei-Yi Hsiao, Chin-Sung Yao, Fiona Yan-Dong Lin, Yung-Kai Ching, Congo Tak Shing Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung Taiwan Viet Nam Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Taiwan Research Assistant Center Show Chwan Memorial Hospital Taiwan Department of Medical Research Chang Bing Show Chwan Memorial Hospital Taiwan Department of Pathology Show Chwan Memorial Hospital Taiwan School of Medicine College of Medicine Fu Jen Catholic University Taiwan Computer Science and Information Engineering Asia University Taiwan Division of Science Engineering and Health Studies College of Professional and Continuing Education The Hong Kong Polytechnic University Hong Kong Department of Food Science National Taiwan Ocean University Taiwan Department of Electrical Engineering National Chi Nan University Nantou County Taiwan

Ketamine is an anesthetic, which when used wrongly would affect judgment and behavior, increasing risks to individual such as unwanted or risky sexual behavior. This study reports the development of an admittance- and capacitance-spectroscopy-based sensor to detect ketamine in solution, such as whiskey, a popular alcoholic drink. The result confirms the proposed method is capable of detecting the presence of ketamine in whiskey, in concentration as low as 6.25 ng/μL, by using admittance and capacitance measured at 6.75 MHz, as well as quantifying the measured admittance (sensitivity: 300 μΩ−1/Log (ng/μL);limit of detection (LOD): 0.16 ng/μL) or capacitance data (sensitivity: 2 nF/Log (ng/μL);LOD: 0.73 ng/μL) at 18 kHz and 7.69 MHz, respectively. © 2023 The Chinese Institute of Engineers.

关键词： Capacitance

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Modified Isolated SEPIC Converter for EV Charging and High Voltage Applications

Modified Isolated SEPIC Converter for EV Charging and High V...

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Power, Instrumentation, Energy and Control (PIECON), International Conference on

作者： Javed Ahmad Chang-Hua Lin Mohammad Suhail Khan Hwa-Dong Liu Mohammad Fahad Department of Electrical Engineering College of Electrical Engineering and Computer Science National Taiwan University of Science and Technology Taipei Taiwan Undergraduate Program of Vehicle and Energy Engineering National Taiwan Normal University Taipei Taiwan

This research article presents a modified isolated SEPIC converter suitable for high-power applications. It uses a transformer instead of coupled inductor for isolation between the input power source and the output load. The steady-state analysis is explained in detail. Thermal loss analysis is performed by using PLECS software. Further, a hardware prototype is developed to verify the performance aspects of the proposed converter.

关键词： Instruments Prototypes High-voltage techniques Transformers Software Hardware Electric vehicle charging

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Passive Cancellation Method for Common-Mode Noise Based on a Nonlinear Model

Passive Cancellation Method for Common-Mode Noise Based on a...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-Phu Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

AC-DC converters almost always require common-mode (CM) filters to restrict conducting their electromagnetic interference (EMI) emissions to the power grid and ensure compliance with EMI certification requirements. These CM filters, which are based on the well-known LC lowpass filter, are typically bulky and expensive. Hence, a method for passive $\mathbf{C M}$ current cancellation using a nonlinear model is proposed herein. This method is entirely composed of passive components and offers advantages in terms of cost and system reliability. Compared to conventional passive LC filters, the number of magnetic components remains unchanged. This study proposes the derivation of a nonlinear model to estimate the filter performance using measured data from an actual CM choke; however, the proposed method does not require the mathematical model of a CM choke.

关键词： Magnetic separation Electromagnetic interference Low-pass filters Electromagnetic compatibility Noise cancellation Mathematical models Power grids

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Cnt Forest Self-Assembly Insights from In-Situ Esem Synthesis

SSRN

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SSRN 2024年

作者： Maschmann, Matthew R. Surya, Ramakrishna Koerner, Gordon L. Hajilounezhad, Taher Safavigerdin, Kaveh Calyam, Prasad Bunyak, Filiz Palaniappan, Kannappan University of Missouri Department of Mechanical and Aerospace Engineering ColumbiaMO65211 United States Department of Electrical Engineering and Computer Science ColumbiaMO65211 United States MU Materials Science and Engineering Institute ColumbiaMO65211 United States

Understanding and controlling the dynamic self-assembly mechanisms of carbon nanotube (CNT) forests is necessary to advance their technological impact. Here, in-situ environmental scanning electron microscope (ESEM) chemical vapor deposition (CVD) synthesis observes the real-time nucleation, assembly, delamination, and self-termination of dense (> 109 CNT/cm2), tall (> 100 µm) CNT forests in real time. Forest synthesis is continuously observed from nucleation to self-termination. Assembly forces generated near the substrate detach CNTs from the substrate, which simulation suggests requires between 3-12 nN of tensile force. Delamination initiates at both the CNT-catalyst and the catalyst-substrate interfaces, indicating multiple delamination mechanisms. Delamination initiates at both the CNT-catalyst and the catalyst-substrate interfaces, indicating multiple delamination mechanisms. Digital image correlation applied to SEM image sequences measures time-invariant strain within growing forests, indicating that forests grow as rigid bodies after liftoff. The Meta CoTracker algorithm measured CNT growth rates reduce from 50 nm/sec to full termination over 150 seconds. The kinematic behaviors we observe are foundational to understanding the process-structure-property relationships of CNT forests. © 2024, The Authors. All rights reserved.

关键词： Chemical vapor deposition

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Solid State Electrolyte to Enable Structural Supercapacitors

Solid State Electrolyte to Enable Structural Supercapacitors

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IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)

作者： Nandu Koripally Lulu Yao Jason D. Azoulay Tse Nga Ng Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA Materials Science Engineering Program University of California San Diego La Jolla CA USA Chemisty Department Georgia Institute of Technology Atlanta GA USA

ISBN: (数字)9798350383263

ISBN: (纸本)9798350383270

Supercapacitors are known for longer cycle life and faster charging rate compared to batteries. However, the energy density of supercapacitors requires improvement to expand their application space. To raise the energy density of structural supercapacitors, this work demonstrates a low resistance and mechanically strong solid-state electrolyte.

关键词： Resistance Supercapacitors Electrolytes Sensor systems Sensors Batteries

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In Situ Iodide Passivation Toward Efficient CsPbI_(3) Perovskite Quantum Dot Solar Cells

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Nano-Micro Letters 2023年第10期15卷 28-39页

作者： Junwei Shi Ben Cohen‑Kleinstein Xuliang Zhang Chenyu Zhao Yong Zhang Xufeng Ling Junjun Guo Doo‑Hyun Ko Baomin Xu Jianyu Yuan Wanli Ma Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055People’s Republic of China Institute of Functional Nano&Soft Materials(FUNSOM) Soochow University199 Ren‑Ai RoadSuzhou Industrial ParkSuzhou 215123People’s Republic of China Department of Electrical and Computer Engineering University of British Columbia2329 West MallVancouverBC V6T 1Z4Canada Department of Chemistry Sungkyunkwan UniversitySuwon 16419Republic of Korea Jiangsu Key Laboratory of Advanced Negative Carbon Technologies Soochow University199 Ren‑Ai RoadSuzhou Industrial ParkSuzhou 215123People’s Republic of China Jiangsu Key Laboratory for Carbon‑Based Functional Materials&Devices Soochow University199 Ren‑Ai RoadSuzhou Industrial ParkSuzhou 215123People’s Republic of China

All-inorganic CsPbI_3 quantum dots(QDs) have demonstrated promising potential in photovoltaic(PV) applications. However, these colloidal perovskites are vulnerable to the deterioration of surface trap states, leading to a degradation in efficiency and stability. To address these issues, a facile yet effective strategy of introducing hydroiodic acid(HI) into the synthesis procedure is established to achieve high-quality QDs and devices. Through an in-depth experimental analysis, the introduction of HI was found to convert PbI_2 into highly coordinated [PbI_m]~(2-m), enabling control of the nucleation numbers and growth kinetics. Combined optical and structural investigations illustrate that such a synthesis technique is beneficial for achieving enhanced crystallinity and a reduced density of crystallographic defects. Finally, the effect of HI is further reflected on the PV performance. The optimal device demonstrated a significantly improved power conversion efficiency of 15.72% along with enhanced storage stability. This technique illuminates a novel and simple methodology to regulate the formed species during synthesis, shedding light on ofurther understanding solar cell performance, and aiding the design of future novel synthesis protocols for high-performance optoelectronic devices.

关键词： CsPbI_(3)perovskite quantum dots In situ passivation Surface trap states Perovskite solar cell

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Exploring Nanoscale Photoresponse Mechanisms for Enhanced Photothermoelectric Effects in van der Waals Interfaces

arXiv

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arXiv 2024年

作者： Xu, Da Liu, Qiushi Liang, Boqun Yu, Ning Ma, Xuezhi Xu, Yaodong Taniguchi, Takashi Lake, Roger K. Yan, Ruoxue Liu, Ming Department of Electrical and Computer Engineering University of California - Riverside RiversideCA92521 United States Department of Chemical and Environmental Engineering University of California - Riverside RiversideCA92521 United States International Center for Materials Nanoarchitectonics National Institute for Materials Science Ibaraki Tsukuba305-0044 Japan Materials Science and Engineering Program University of California - Riverside RiversideCA92521 United States

Integrated photodetectors are crucial for their high speed, sensitivity, and efficient power consumption. In these devices, photocurrent generation is primarily attributed to the photovoltaic (PV) effect, driven by electron-hole separations, and the photothermoelectric (PTE) effect, which results from temperature gradients via the Seebeck effect. As devices shrink, the overlap of these mechanisms—both dependent on the Fermi level and band structure—complicates their separate evaluation at the nanoscale. This study introduces a novel 3D photocurrent nano-imaging technique specifically designed to distinctly map these mechanisms in a Schottky barrier photodiode featuring a molybdenum disulfide and gold (MoS2-Au) interface. We uncover a significant PTE-dominated region extending several hundred nanometers from the electrode edge, a characteristic facilitated by the weak electrostatic forces typical in 2D materials. Unexpectedly, we find that incorporating hexagonal boron nitride (h-BN), known for its high thermal conductivity, markedly enhances the PTE response. This counterintuitive enhancement stems from an optimal overlap between thermal and Seebeck profiles, presenting a new pathway to boost device performance. Our findings highlight the capability of this imaging technique to not only advance optoelectronic applications but also to deepen our understanding of light-matter interactions within low-dimensional systems. © 2024, CC BY.

关键词： Van der Waals forces

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