Fluorescent developers play a crucial role when dealing with objects with complex patterns or color interference against their background due to their excellent photoluminescent properties. In recent years, fluorescent nanoelectronic materials have emerged as a novel class of fluorescent materials for fingerprint development research. Here, carbon quantum dots (CQDs) are synthesized using an electrochemical method and utilized as fluorescent nanoelectronic materials in combination with gold nanoparticles (AuNPs) to form a composite (Au/CQDs). The photoelectric properties of Au/CQDs are verified, and a precursor solution for Au/CQDs is prepared using the Wessling method. After the addition of a surfactant and subsequent elimination processes, an Au/CQDs fluorescent nanocolloidal solution is obtained. This solution is applied for the development of visible fingerprints and latent fingerprints on adhesive surfaces. The resulting development images are subjected to enhancement processes such as sharpening, smoothing, and noise reduction using partial differential equations to improve their visual quality. In experiments, under light exposure, Au/CQDs exhibit a higher conversion rate with cyclohexane compared to conditions without light. In the Au/NPs system, the fluorescence of CQDs is effectively quenched due to the rapid electron transfer process within the Au/CQDs system. Moreover, the electrode modified with Au/CQDs shows significantly improved efficiency in decomposing H2O2 compared to conditions without light exposure. After the development with Au/CQDs nanoparticle colloid solution, bright fingerprint patterns are visible under ultraviolet light. As the age of the fingerprint increases, the developed fingerprint has a higher resolution than fresh fingerprints. Image enhancement through partial differential equations results in satisfactory sharp edges and smooth contours in the images.
{"title":"Application of Fluorescent Carbon Nanoelectronic Materials in Combining Partial Differential Equations for Fingerprint Development and Its Image Enhancement","authors":"Feng Wu, Baohua Jiang","doi":"10.1166/jno.2023.3496","DOIUrl":"https://doi.org/10.1166/jno.2023.3496","url":null,"abstract":"Fluorescent developers play a crucial role when dealing with objects with complex patterns or color interference against their background due to their excellent photoluminescent properties. In recent years, fluorescent nanoelectronic materials have emerged as a novel class of fluorescent materials for fingerprint development research. Here, carbon quantum dots (CQDs) are synthesized using an electrochemical method and utilized as fluorescent nanoelectronic materials in combination with gold nanoparticles (AuNPs) to form a composite (Au/CQDs). The photoelectric properties of Au/CQDs are verified, and a precursor solution for Au/CQDs is prepared using the Wessling method. After the addition of a surfactant and subsequent elimination processes, an Au/CQDs fluorescent nanocolloidal solution is obtained. This solution is applied for the development of visible fingerprints and latent fingerprints on adhesive surfaces. The resulting development images are subjected to enhancement processes such as sharpening, smoothing, and noise reduction using partial differential equations to improve their visual quality. In experiments, under light exposure, Au/CQDs exhibit a higher conversion rate with cyclohexane compared to conditions without light. In the Au/NPs system, the fluorescence of CQDs is effectively quenched due to the rapid electron transfer process within the Au/CQDs system. Moreover, the electrode modified with Au/CQDs shows significantly improved efficiency in decomposing H2O2 compared to conditions without light exposure. After the development with Au/CQDs nanoparticle colloid solution, bright fingerprint patterns are visible under ultraviolet light. As the age of the fingerprint increases, the developed fingerprint has a higher resolution than fresh fingerprints. Image enhancement through partial differential equations results in satisfactory sharp edges and smooth contours in the images.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"19 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gajanan A. Bodkhe, Mayur S. More, Mohamed Hashem, Hassan Fouad, Subramanian Siva, Megha A. Deshmukh, Nikesh N. Ingle, Myunghee Kim, Mahendra D. Shirsat
In the present work, zinc benzene 1,4 dicarboxylate (ZnBDC) metal organic framework (MOF) and its composite with single-walled carbon nanotubes (SWNTs), we called as SWNTs@ZnBDC, has been synthesized by traditional solvothermal method. The synthesized materials have been evaluated with various techniques such as Fourier transform infrared spectroscopy, X-ray diffraction (XRD), thermogravimetric-differential thermal analysis, Brunauer–Emmett–Teller surface area analysis, cyclic voltammetry, and electrochemical impedance spectroscopy. The sensor has been fabricated by depositing SWNTs@ZnBDC MOF on a glassy carbon electrode (GCE). The SWNTs@ZnBDC/GCE electrode shows excellent sensing behaviour in terms of selectivity towards Hg2+ ions only at pH = 5 and does not show any sensing response towards Pb2+, Cr2+, Cd2+, Cu2+, and Ni2+ ions at a concentration of 1 μM. For the Hg2+ ions, the sensor shows a high sensitivity of 0.86 μA/nM with a limit of detection of 6.74 nM and a limit of quantification of 5 nM.
{"title":"Hg2+ Ions Sensor: Single Walled Carbon Nanotubes Incorporated Zn-Metal Organic Framework","authors":"Gajanan A. Bodkhe, Mayur S. More, Mohamed Hashem, Hassan Fouad, Subramanian Siva, Megha A. Deshmukh, Nikesh N. Ingle, Myunghee Kim, Mahendra D. Shirsat","doi":"10.1166/jno.2023.3494","DOIUrl":"https://doi.org/10.1166/jno.2023.3494","url":null,"abstract":"In the present work, zinc benzene 1,4 dicarboxylate (ZnBDC) metal organic framework (MOF) and its composite with single-walled carbon nanotubes (SWNTs), we called as SWNTs@ZnBDC, has been synthesized by traditional solvothermal method. The synthesized materials have been evaluated with various techniques such as Fourier transform infrared spectroscopy, X-ray diffraction (XRD), thermogravimetric-differential thermal analysis, Brunauer–Emmett–Teller surface area analysis, cyclic voltammetry, and electrochemical impedance spectroscopy. The sensor has been fabricated by depositing SWNTs@ZnBDC MOF on a glassy carbon electrode (GCE). The SWNTs@ZnBDC/GCE electrode shows excellent sensing behaviour in terms of selectivity towards Hg2+ ions only at pH = 5 and does not show any sensing response towards Pb2+, Cr2+, Cd2+, Cu2+, and Ni2+ ions at a concentration of 1 μM. For the Hg2+ ions, the sensor shows a high sensitivity of 0.86 μA/nM with a limit of detection of 6.74 nM and a limit of quantification of 5 nM.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"55 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Manufacturing ultra-scaled FinFET devices has become a massive obstacle for device engineers. The critical challenge experienced Multi-Gate FETs is process variation; Consequently, devices’ performances are impacted and analyzed for device performance losses due to misalignments of gate locations close to sources and drain edgess (lower regions). FinFET is examined using a 3D mathematical model, the impact of base gate areas on variables such as electric fields, surface channel potentials, subthreshold oscillations, threshold voltages, and drainage-induced barrier reductions and effects beneath coating. 3D simulators validate the outcomes yielded by the model. The advantage of underlap FinFET of streamlining investigates the spacer dielectric material (low k and high k) and its underlapped Gate length using the TCAD simulator.
{"title":"Analysis of Underlap Tri-Gate FinFET and Its Capacitance Effects for Analog/Radio Frequency Applications","authors":"J. K. Kasthuri Bha, P. Aruna Priya","doi":"10.1166/jno.2023.3508","DOIUrl":"https://doi.org/10.1166/jno.2023.3508","url":null,"abstract":"Manufacturing ultra-scaled FinFET devices has become a massive obstacle for device engineers. The critical challenge experienced Multi-Gate FETs is process variation; Consequently, devices’ performances are impacted and analyzed for device performance losses due to misalignments of gate locations close to sources and drain edgess (lower regions). FinFET is examined using a 3D mathematical model, the impact of base gate areas on variables such as electric fields, surface channel potentials, subthreshold oscillations, threshold voltages, and drainage-induced barrier reductions and effects beneath coating. 3D simulators validate the outcomes yielded by the model. The advantage of underlap FinFET of streamlining investigates the spacer dielectric material (low k and high k) and its underlapped Gate length using the TCAD simulator.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"212 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As a special method of ship propulsion, waterjet propeller has been widely used in military and civilian fields due to its advantages of simple structures and high propulsion efficiency. Affected by waves of sea and rotation of impeller, the internal flow of waterjet propeller is extremely complex on three dimensions. When waterjet propeller works, its turbulent flow is often accompanied with unstable phenomena like flow separation, secondary flow, and backflow. On the other hand, the impeller of the propeller will be easily cavitated if it runs at high speed. That has a serious impact on performance and structure of the propeller. Therefore, understanding the open water performance and cavitation characteristics is imperative. In this study, we analyze the performance and flow field of a single marine external waterjet propeller based on the SST k−ω model. We focus on examining its performance under various advance coefficients in open water conditions. The experimental results show that the distributions of streamline and inlet velocity are more uniform at the highest efficiency point than other operating conditions. The loss for the generation of entropy is relatively low at the same time. The analysis on cavitation shows that the volume of the cavitation bubble will increase gradually as the cavitation number of the propeller decreases. Meanwhile, the performance of the propeller decreases obviously at the blade tip extending from the rim to the hub.
{"title":"Analysis on Performances and Flow Fields of a Single Waterjet Propeller Based on SST k −ω Model","authors":"Lingfei Zhang, Longfeng Hou, Yihao Tao","doi":"10.1166/jno.2023.3477","DOIUrl":"https://doi.org/10.1166/jno.2023.3477","url":null,"abstract":"As a special method of ship propulsion, waterjet propeller has been widely used in military and civilian fields due to its advantages of simple structures and high propulsion efficiency. Affected by waves of sea and rotation of impeller, the internal flow of waterjet propeller is extremely complex on three dimensions. When waterjet propeller works, its turbulent flow is often accompanied with unstable phenomena like flow separation, secondary flow, and backflow. On the other hand, the impeller of the propeller will be easily cavitated if it runs at high speed. That has a serious impact on performance and structure of the propeller. Therefore, understanding the open water performance and cavitation characteristics is imperative. In this study, we analyze the performance and flow field of a single marine external waterjet propeller based on the SST k−ω model. We focus on examining its performance under various advance coefficients in open water conditions. The experimental results show that the distributions of streamline and inlet velocity are more uniform at the highest efficiency point than other operating conditions. The loss for the generation of entropy is relatively low at the same time. The analysis on cavitation shows that the volume of the cavitation bubble will increase gradually as the cavitation number of the propeller decreases. Meanwhile, the performance of the propeller decreases obviously at the blade tip extending from the rim to the hub.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"67 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Compared to electronic sensors, Optical Fiber Sensors (OFSs) have received increasing attention due to their advantages, such as small size, light weight, anti-electromagnetic interference, easy reuse, and remote sensing. This paper proposes a novel all-fiber mode interferometer. This interferometer excites higher-order cladding modes through mode mismatch between standard single-mode fibers and thin cores. There is interference between higher-order cladding mode and core layer mode, resulting in interference fringes used as sensing signals. Sensitivity testing is conducted on the designed OFS to demonstrate whether it meets the application requirements for petroleum exploration. Transmission-type Thin-Core Fiber Modal Interferometers (TCFMIs) with different lengths of Thin-Core Fibers (TCFs) (20 mm, 40 mm, and 60 mm) are produced in the experiment. Among them, TCFMIs at 60 mm TCF length can obtain ideal sensing signals. The TCFMI (with a length of 20 mm TCF) is encapsulated in a self-made aluminum groove in rosin to test its Refractive Index (RI). The results show that as the RI increases, the central wavelength shifts towards the long wavelength direction. Its sensitivity reaches 146 nm/R.I.U. When the temperature is increased, the central wavelength shifts towards the long wavelength direction, resulting in lower temperature sensitivity. In the sensitivity test, the phase change obtained by designing OFSs is proportional to the vibration acceleration. It is fixed on the vibration table to keep the acceleration of the vibration table constant and adjust the vibration frequency of the vibration table. The results show that the vibration spectral line of the sensor is relatively flat within 100 Hz, and resonance occurs within the range of 200 Hz to 350 Hz. Through phase demodulation, sensors loaded with different oscillator masses increase linearly in the low-frequency range. When the vibration frequency approaches the resonance frequency of the sensor, the phase sensitivity of the sensor increases nonlinearly.
{"title":"Optical Fiber Sensor with Novel Structure and Its Applications in Oil and Gas Exploration","authors":"Yuhua Xie, Kun Zhao, Hengle Li","doi":"10.1166/jno.2023.3495","DOIUrl":"https://doi.org/10.1166/jno.2023.3495","url":null,"abstract":"Compared to electronic sensors, Optical Fiber Sensors (OFSs) have received increasing attention due to their advantages, such as small size, light weight, anti-electromagnetic interference, easy reuse, and remote sensing. This paper proposes a novel all-fiber mode interferometer. This interferometer excites higher-order cladding modes through mode mismatch between standard single-mode fibers and thin cores. There is interference between higher-order cladding mode and core layer mode, resulting in interference fringes used as sensing signals. Sensitivity testing is conducted on the designed OFS to demonstrate whether it meets the application requirements for petroleum exploration. Transmission-type Thin-Core Fiber Modal Interferometers (TCFMIs) with different lengths of Thin-Core Fibers (TCFs) (20 mm, 40 mm, and 60 mm) are produced in the experiment. Among them, TCFMIs at 60 mm TCF length can obtain ideal sensing signals. The TCFMI (with a length of 20 mm TCF) is encapsulated in a self-made aluminum groove in rosin to test its Refractive Index (RI). The results show that as the RI increases, the central wavelength shifts towards the long wavelength direction. Its sensitivity reaches 146 nm/R.I.U. When the temperature is increased, the central wavelength shifts towards the long wavelength direction, resulting in lower temperature sensitivity. In the sensitivity test, the phase change obtained by designing OFSs is proportional to the vibration acceleration. It is fixed on the vibration table to keep the acceleration of the vibration table constant and adjust the vibration frequency of the vibration table. The results show that the vibration spectral line of the sensor is relatively flat within 100 Hz, and resonance occurs within the range of 200 Hz to 350 Hz. Through phase demodulation, sensors loaded with different oscillator masses increase linearly in the low-frequency range. When the vibration frequency approaches the resonance frequency of the sensor, the phase sensitivity of the sensor increases nonlinearly.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"17 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Faisal Shaman, Aziz Alshehri, Mohammed Mehdi Badr, K. Selvam, Mohammed Mohsin Ahmed, Nazneen Mushtaque, Amit Gangopadhyay, Asharul Islam, Reyazur Rashid Irshad
Remote health monitoring plays a pivotal role in tracking the health of patients outside traditional clinical settings. It facilitates early disease detection, preventive interventions, and cost-effective healthcare, relying on electronic sensors to collect essential data. The accuracy of medical data analysis is paramount for early disease identification, patient treatment, and optimizing social services, particularly as data utilization expands within the biomedical and healthcare sectors. However, the presence of incomplete or inconsistent data hampers the accuracy of analysis. This paper introduces a novel approach, employing Grey Wolf Optimization-based Convolutional Neural Networks (GW-CNN), to recover missing data and enhance cardiac disease identification. The proposed method combines data imputation techniques for identifying and predicting missing values in electronic sensor data, followed by feature extraction to capture relevant information. The CNN model leverages Grey Wolf Optimization to improve its predictive capabilities for cardiac disease. Comparative evaluation against existing models assesses the new model’s performance in terms of specificity, accuracy, precision, recall, and F1 score.
远程健康监测在传统临床环境之外跟踪病人健康状况方面发挥着举足轻重的作用。它依靠电子传感器收集重要数据，有助于早期疾病检测、预防性干预和具有成本效益的医疗保健。医疗数据分析的准确性对于早期疾病识别、患者治疗和优化社会服务至关重要，特别是随着生物医学和医疗保健领域数据利用的扩大。然而，不完整或不一致数据的存在妨碍了分析的准确性。本文介绍了一种采用基于灰狼优化的卷积神经网络（GW-CNN）的新方法，以恢复缺失数据并增强心脏疾病识别能力。所提出的方法结合了数据估算技术，用于识别和预测电子传感器数据中的缺失值，然后进行特征提取以捕捉相关信息。CNN 模型利用灰狼优化技术提高了对心脏疾病的预测能力。与现有模型的比较评估从特异性、准确性、精确性、召回率和 F1 分数等方面评估了新模型的性能。
{"title":"Enhancing Cardiac Disease Prediction Through Data Recovery and Deep Learning Analysis of Electronic Sensor Data","authors":"Faisal Shaman, Aziz Alshehri, Mohammed Mehdi Badr, K. Selvam, Mohammed Mohsin Ahmed, Nazneen Mushtaque, Amit Gangopadhyay, Asharul Islam, Reyazur Rashid Irshad","doi":"10.1166/jno.2023.3503","DOIUrl":"https://doi.org/10.1166/jno.2023.3503","url":null,"abstract":"Remote health monitoring plays a pivotal role in tracking the health of patients outside traditional clinical settings. It facilitates early disease detection, preventive interventions, and cost-effective healthcare, relying on electronic sensors to collect essential data. The accuracy of medical data analysis is paramount for early disease identification, patient treatment, and optimizing social services, particularly as data utilization expands within the biomedical and healthcare sectors. However, the presence of incomplete or inconsistent data hampers the accuracy of analysis. This paper introduces a novel approach, employing Grey Wolf Optimization-based Convolutional Neural Networks (GW-CNN), to recover missing data and enhance cardiac disease identification. The proposed method combines data imputation techniques for identifying and predicting missing values in electronic sensor data, followed by feature extraction to capture relevant information. The CNN model leverages Grey Wolf Optimization to improve its predictive capabilities for cardiac disease. Comparative evaluation against existing models assesses the new model’s performance in terms of specificity, accuracy, precision, recall, and F1 score.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"54 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345164","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work attempts to apply the Kirchhoff plate theory to find out the vibrational analyses of a nanoplate incorporating thermal effects. The effects of thermal environments on the natural frequency of longitudinal vibration of restrained nanomaterials, especially for restrained nanoplates, have not been investigated, and most of the previous research has been carried out for unrestrained nanoplates. Therefore, it must be emphasized that the vibrations of restrained nanoplate, including thermal effects, are novel and applicable to the nanodevices, in which nanoplates act as the main structure of the nanocomposite. A novel motion and frequency equation are derived using the Kirchhoff plate model. The present study illustrates that a nanoplate’s longitudinal vibration characteristics strongly depend on the temperature change and stiffness coefficients. The numerical results clearly show that the longitudinal natural frequencies of the nanoplate are less than unity for both cases of low and high temperatures. This means that applying the Kirchhoff plate model for restrained nanoplate analysis would lead to an over-prediction of the frequency if the small thermal stress effect is neglected. Finally, the investigation of the restrained and thermal impact on longitudinal vibration of nanoplates may be used as a valuable reference for the application and the design of nanoelectronics and nano-drives devices, nano-oscillators, and nano-sensors, in which nanoplates act as essential elements.
{"title":"A Kirchhoff Plate Model for Longitudinal Vibration Analysis of Restrained Nanoplate Including Thermal Effects","authors":"Amira Mohamed Hussin","doi":"10.1166/jno.2023.3485","DOIUrl":"https://doi.org/10.1166/jno.2023.3485","url":null,"abstract":"This work attempts to apply the Kirchhoff plate theory to find out the vibrational analyses of a nanoplate incorporating thermal effects. The effects of thermal environments on the natural frequency of longitudinal vibration of restrained nanomaterials, especially for restrained nanoplates, have not been investigated, and most of the previous research has been carried out for unrestrained nanoplates. Therefore, it must be emphasized that the vibrations of restrained nanoplate, including thermal effects, are novel and applicable to the nanodevices, in which nanoplates act as the main structure of the nanocomposite. A novel motion and frequency equation are derived using the Kirchhoff plate model. The present study illustrates that a nanoplate’s longitudinal vibration characteristics strongly depend on the temperature change and stiffness coefficients. The numerical results clearly show that the longitudinal natural frequencies of the nanoplate are less than unity for both cases of low and high temperatures. This means that applying the Kirchhoff plate model for restrained nanoplate analysis would lead to an over-prediction of the frequency if the small thermal stress effect is neglected. Finally, the investigation of the restrained and thermal impact on longitudinal vibration of nanoplates may be used as a valuable reference for the application and the design of nanoelectronics and nano-drives devices, nano-oscillators, and nano-sensors, in which nanoplates act as essential elements.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"123 3 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139343757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A YBa2Cu3O7-y bulk with the crystal orientation identical with that of single seed was grown from the seed by the application of melt growth, wherein YBa2Cu3O7-y superconductive green compact was placed on the upper part of Sm 123 superconductive seed single crystal. Field cooling was employed as the condition for the measuring magnetic levitation; it was measured at the temperature of liquid nitrogen, utilizing a Nd–Fe-B permanent magnet with the force of 3.86 kG. The magnetic levitation measurements yielded values of 23.537 N on the surface of the upper part and 30.562 N at the bottom of superconductive bulk magnet. The trapped magnetic forces on the surfaces of superconducting specimens were measured using a permanent magnet with a surface magnetic force of 5.25 kG. The measurements yielded values of 1.74 kG on the upper surface and 1.82 kG at the bottom of the superconducting bulk magnet. Superconducting single crystals were grown from specimens obtained from the upper and bottom parts of the bulk magnet. These specimens were prepared using the melt reaction process. The superconducting properties, such as magnetic levitation and trapped magnetic force, were found to be higher in the region that came into contact with the seed crystal.
通过熔融生长法，将 YBa2Cu3O7-y 超导绿色紧凑体置于 Sm 123 超导种子单晶体的上部，从种子中生长出晶体取向与单晶种子相同的 YBa2Cu3O7-y 体。磁悬浮的测量条件是在液氮温度下，利用力为 3.86 kG 的钕铁硼永磁体进行场冷却。磁悬浮测量结果表明，超导块状磁体上部表面的磁力值为 23.537 N，底部为 30.562 N。使用表面磁力为 5.25 kG 的永久磁铁测量了超导试样表面的困磁力。测量结果显示，超导块状磁体上表面的磁力值为 1.74 kG，底部的磁力值为 1.82 kG。超导单晶是从块状磁体上部和底部获得的试样中生长出来的。这些试样采用熔融反应工艺制备。研究发现，在与籽晶接触的区域，磁悬浮和困磁力等超导特性较高。
{"title":"Fabrication of YBa2Cu3O7-y Bulk Superconductor Through Melt Growth","authors":"Sang Heon Lee","doi":"10.1166/jno.2023.3488","DOIUrl":"https://doi.org/10.1166/jno.2023.3488","url":null,"abstract":"A YBa2Cu3O7-y bulk with the crystal orientation identical with that of single seed was grown from the seed by the application of melt growth, wherein YBa2Cu3O7-y superconductive green compact was placed on the upper part of Sm 123 superconductive seed single crystal. Field cooling was employed as the condition for the measuring magnetic levitation; it was measured at the temperature of liquid nitrogen, utilizing a Nd–Fe-B permanent magnet with the force of 3.86 kG. The magnetic levitation measurements yielded values of 23.537 N on the surface of the upper part and 30.562 N at the bottom of superconductive bulk magnet. The trapped magnetic forces on the surfaces of superconducting specimens were measured using a permanent magnet with a surface magnetic force of 5.25 kG. The measurements yielded values of 1.74 kG on the upper surface and 1.82 kG at the bottom of the superconducting bulk magnet. Superconducting single crystals were grown from specimens obtained from the upper and bottom parts of the bulk magnet. These specimens were prepared using the melt reaction process. The superconducting properties, such as magnetic levitation and trapped magnetic force, were found to be higher in the region that came into contact with the seed crystal.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"46 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Al Masri Walaa, Mumtaz Ali, Al-Hartomy Omar, S. Wageh
Carbon quantum dots (CQDs)—growing stars of the nanocarbon family—have received attention owing to their intriguing photoluminescence (PL), stability, and biocompatibility. However, CQDs may suffer from serious aggregation-caused quenching (ACQ) of PL, specifically in powder or thin film form. Moreover, most engineering applications are solid-state; therefore, it is important to design solid-state emissive CQDs, potentially defeating ACQ. Previous reviews highlighted the strategies for solid-state emissive CQDs; however, less focus has been given to CQDs with emissions at longer wavelengths. This review summarizes recent advances (specifically in the last two years), focusing on long wavelengths, including yellow-, orange-, and red-emissive fluorescence. Furthermore, the synthesis method, quantum yield, and mechanism of fluorescence are explained. In addition, a detailed summary of synthesis parameters and their role in emission tuning is highlighted. Finally, the future directions and potential applications of solid-state CQDs for emerging applications were discussed.
{"title":"Solid-State Emissive Carbon Quantum Dots (CQDs) with a Long Wavelength Emission","authors":"Al Masri Walaa, Mumtaz Ali, Al-Hartomy Omar, S. Wageh","doi":"10.1166/jno.2023.3476","DOIUrl":"https://doi.org/10.1166/jno.2023.3476","url":null,"abstract":"Carbon quantum dots (CQDs)—growing stars of the nanocarbon family—have received attention owing to their intriguing photoluminescence (PL), stability, and biocompatibility. However, CQDs may suffer from serious aggregation-caused quenching (ACQ) of PL, specifically in powder or thin film form. Moreover, most engineering applications are solid-state; therefore, it is important to design solid-state emissive CQDs, potentially defeating ACQ. Previous reviews highlighted the strategies for solid-state emissive CQDs; however, less focus has been given to CQDs with emissions at longer wavelengths. This review summarizes recent advances (specifically in the last two years), focusing on long wavelengths, including yellow-, orange-, and red-emissive fluorescence. Furthermore, the synthesis method, quantum yield, and mechanism of fluorescence are explained. In addition, a detailed summary of synthesis parameters and their role in emission tuning is highlighted. Finally, the future directions and potential applications of solid-state CQDs for emerging applications were discussed.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135099623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Polarimetric synthetic aperture radar (PolSAR) can provide complete polarization property of terrain. Terrain classification is the most common application of PolSAR data. In this paper, an unsupervised clustering algorithm based on Freeman-Durden decomposition (FDD) and a non-Gaussian K-Wishart distribution classifier is proposed. This algorithm combines an advanced statistical distribution with spatial polarization scattering information of multi-looks PolSAR data. We use the prior probability characteristics of the Markov random field model to adaptively adjust the cluster center to make the classification more accurate. The experiment result shows that the proposed algorithm based on non-Gaussian models can better retain the polarization information of the target and the clustering accuracy was effectively improved on the real SAR images.
{"title":"Unsupervised Classification of Non-Gaussian Terrain Based on Polarimetric Decomposition","authors":"Zhi-Zhong Huang, Lin Zheng, Wan-Jun Yin","doi":"10.1166/jno.2023.3465","DOIUrl":"https://doi.org/10.1166/jno.2023.3465","url":null,"abstract":"Polarimetric synthetic aperture radar (PolSAR) can provide complete polarization property of terrain. Terrain classification is the most common application of PolSAR data. In this paper, an unsupervised clustering algorithm based on Freeman-Durden decomposition (FDD) and a non-Gaussian\u0000 K-Wishart distribution classifier is proposed. This algorithm combines an advanced statistical distribution with spatial polarization scattering information of multi-looks PolSAR data. We use the prior probability characteristics of the Markov random field model to adaptively adjust\u0000 the cluster center to make the classification more accurate. The experiment result shows that the proposed algorithm based on non-Gaussian models can better retain the polarization information of the target and the clustering accuracy was effectively improved on the real SAR images.","PeriodicalId":16446,"journal":{"name":"Journal of Nanoelectronics and Optoelectronics","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135099636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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