2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)最新文献_第7页

Scaling Effect Induced Rapid Quenching Improves the Performance of Microfabricated Electrostatic Micromirrors 结垢效应诱导的快速淬火提高了微静电微镜的性能

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265626

Hao Ren, Weimin Wang, Haichao Cao, Sitao Fei, Yunping Niu, Zhihao Li

引用次数: 0

Floating Gate Perimeter Gated Single Photon Avalanche Diodes 浮动门周边门控单光子雪崩二极管

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265592

M. A. Haque, N. Mcfarlane

引用次数: 0

A Highly Sensitive Non-Enzymatic Hydrogen Peroxide Sensor based on Palladium-Gold Nanoparticles 基于钯金纳米粒子的高灵敏度无酶过氧化氢传感器

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265596

Saikat Banerjee, Md. Faruk Hossain, G. Slaughter

引用次数: 1

Flexural Rigidity of Microtubules Measured by Gold Stripe-Patterned Substrate 用金条纹衬底测量微管的弯曲刚度

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265570

Hang Zhou, N. Isozaki, Kazuki Ukita, Taviare L. Hawkins, J. Ross, R. Yokokawa

引用次数: 1

Hysteresis Modeling of Magnetic Shape Memory Alloy using a NARMAX Structure Model 基于NARMAX结构模型的磁形状记忆合金磁滞建模

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265625

Yewei Yu, Chen Zhang, Jingwen Xu, Zhiwu Han, Miaolei Zhou

{"title":"Hysteresis Modeling of Magnetic Shape Memory Alloy using a NARMAX Structure Model","authors":"Yewei Yu, Chen Zhang, Jingwen Xu, Zhiwu Han, Miaolei Zhou","doi":"10.1109/NEMS50311.2020.9265625","DOIUrl":"https://doi.org/10.1109/NEMS50311.2020.9265625","url":null,"abstract":"As a kind of smart material-based product, the magnetic shape memory alloy based actuator (MSMABA) is widely used in nano-positioning applications. However, the serious hysteresis in the MSMABA severely impacts its application in the field of micro/nanotechnology. To model the hysteresis of the MSMABA which possesses the multi-valued mapping characteristics and the rate-dependent behavior, a nonlinear auto-regressive moving average with exogenous inputs structure (NARMAXS) model is developed. In this method, the Bouc-Wen (BW) model as an exogenous variable function (EVF) is used to construct the NARMAXS model, and the proposed model can be applied to describe the behavior of hysteresis with multi-valued mapping. Based on the powerful function approaching capability, a wavelet neural network (WNN) is used to replace the nonlinear function of the NARAMXS model. To verify the effectiveness of the proposed method, the NARAMX model based on the radial basis function neural network (RBFNN) is used for comparison. The experiment results illustrate that the proposed NARMAXS model presents excellent modeling ability for hysteresis of the MSMABA.","PeriodicalId":6787,"journal":{"name":"2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)","volume":"28 1","pages":"437-441"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73242469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Classification and Concentration Prediction of VOC Gases Based on Sensor Array with Machine Learning Algorithms 基于传感器阵列和机器学习算法的VOC气体分类与浓度预测

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265606

Yingming Liu, Changhui Zhao, Junqi Lin, Huimin Gong, Fei Wang

{"title":"Classification and Concentration Prediction of VOC Gases Based on Sensor Array with Machine Learning Algorithms","authors":"Yingming Liu, Changhui Zhao, Junqi Lin, Huimin Gong, Fei Wang","doi":"10.1109/NEMS50311.2020.9265606","DOIUrl":"https://doi.org/10.1109/NEMS50311.2020.9265606","url":null,"abstract":"In this work, a facile method is proposed to monitor the freshness of meat and fruits by combining a gas sensor array with machine learning algorithms, where the sensor array consists of four commercial metal oxide-based gas sensors. Back-propagation neural network (BPNN) is used for gas classification, and the average accuracy can reach 98.8%. To obtain more effective prediction of VOC gas concentration (ethanol, trimethylamine, and ammonia), four algorithms including BPNN, radial basis function neural network (RBFNN), support vector machine (SVM), and hybrid LDA-SVM, which is a combination of SVM and linear discriminant analysis (LDA) are implemented, which are trained with the same training set. By analyzing and comparing the prediction results of these four algorithm models, the RBFNN achieves the peak performance for the concentration predictions of ethanol and ammonia, and the average relative errors are less than 5% and 6.5%, respectively. For trimethylamine (TMA) concentration prediction, the average relative error of RBFNN is equal to 4.41%, which is better than 5.11% of SVM, while the mean absolute error of RBFNN is slightly inferior to SVM. Therefore, the classification accuracy of the gas type by BPNN and the prediction accuracy of gas concentration by RBFNN can meet the requirement of distinguishing the freshness of food.","PeriodicalId":6787,"journal":{"name":"2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)","volume":"30 1","pages":"295-300"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73656570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Accelerated, Reactive Aging Tests of Parylene C, SiO2, and Si3N4 Packages for Chronic Neural Implants 用于慢性神经植入物的聚对二甲苯C, SiO2和Si3N4包装的加速，反应老化试验

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265554

Yan Gong, Matthew Harris Brauer, Kristine Zheng, Wen Li

引用次数: 1

Many-body Interactions in Halide-assisted CVD Grown WSe2 for High Performance Photodetectors 用于高性能光电探测器的卤化物辅助CVD生长WSe2的多体相互作用

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265522

A. S. Bandyopadhyay, K. Jayanand, A. Kaul

{"title":"Many-body Interactions in Halide-assisted CVD Grown WSe2 for High Performance Photodetectors","authors":"A. S. Bandyopadhyay, K. Jayanand, A. Kaul","doi":"10.1109/NEMS50311.2020.9265522","DOIUrl":"https://doi.org/10.1109/NEMS50311.2020.9265522","url":null,"abstract":"Practical device applications of semiconducting two-dimensional (2D) materials based devices rely on their large area growth using Chemical Vapor Deposition (CVD) method. Controlled CVD growth of tungsten diselenide (WSe<inf>2</inf>) is often challenging because of the high sublimation point of tungsten. In this work, we used NaCl with tungsten oxide to allow the growth of monolayer (1L) WSe<inf>2</inf> at a temperature (T) of ~ 750°C. Additionally, we utilized T-dependent PL spectroscopy to analyse the dynamics of excitons, trions and localized excitons states in 1L WSe<inf>2</inf>. Moreover, we fabricated Al/WSe<inf>2</inf> based photodetector (PD) which show a high responsivity of ~ 502 A/W. The frequency-dependent capacitance response of the PD was also analyzed from which an interface trap density D<inf>it</inf> was computed to be ~ 3.45 × 1012 cm-2 eV-1; this is the lowest D<inf>it</inf> value reported for WSe<inf>2</inf>-based devices to date. The results obtained in this work reveals great potential of WSe<inf>2</inf> for electronic, opto-electronic device applications.","PeriodicalId":6787,"journal":{"name":"2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)","volume":"37 1","pages":"22-25"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88946629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Microfluidic Enzymatic Glucose Biofuel Cell with MWCNT patterned Printed Circuit Board Electrodes 微流控酶促葡萄糖生物燃料电池与MWCNT图案印刷电路板电极

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265600

Prakash Rewatkar, S. Goel

{"title":"Microfluidic Enzymatic Glucose Biofuel Cell with MWCNT patterned Printed Circuit Board Electrodes","authors":"Prakash Rewatkar, S. Goel","doi":"10.1109/NEMS50311.2020.9265600","DOIUrl":"https://doi.org/10.1109/NEMS50311.2020.9265600","url":null,"abstract":"Enzymatic biofuel cells (EBFCs) have gained a substantial attention due to their ability to be produce clean, economical and qualitative self-sustainable power. In this regards, a variety of methodologies have been reported in the field of device and electrode manufacturing, and dedicated enzyme immobilization chemistry. However, the lower power output, shorter enzyme life, and high operating and maintenance overheads are key barriers to the commercialization of EBFCs. Here, easily fabricated and cost-efficient printed circuit board (PCB) electrodes, patterned with multi-walled carbon nanotubes (MWCNT), have been presented. These bioelectrodes were further positioned over a Y-shaped PDMS microchannel and tested under microfluidic environment. The electrodes were further immobilized with GOx and laccase enzymes, to behave as anode and cathode respectively, and voltammetric electrochemical performance was established with respective electrolytes (glucose and oxygen). Finally the polarization studies of fully integrated EBFC were evaluated, where the maximum peak power density of 2.29 μW.cm-2 was observed at maximum current density of 32 μA.cm-2 with open circuit potential of 0.257 V.","PeriodicalId":6787,"journal":{"name":"2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)","volume":"3 1","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84234962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Flexible Electrochemical Lactate Biosensor 柔性电化学乳酸生物传感器

2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS) Pub Date : 2020-09-27 DOI: 10.1109/NEMS50311.2020.9265579

Peyton Miesse, G. Slaughter

{"title":"Flexible Electrochemical Lactate Biosensor","authors":"Peyton Miesse, G. Slaughter","doi":"10.1109/NEMS50311.2020.9265579","DOIUrl":"https://doi.org/10.1109/NEMS50311.2020.9265579","url":null,"abstract":"Lactic acid is a key indicator for trauma and exercise intolerance. It is the primary metabolically produced acid responsible for tissue acidosis that can lead to muscle fatigue. During intensive exercise, the muscles go through anerobic metabolism to produce energy. This leads to decreases in the blood flow of nutrients and oxygen to the muscles and increases in lactate production, which in turn cause lactic acidosis. Currently, changes in blood lactate concentrations are monitored by sensors that can be invasive via blood or wearable based sensors that use the enzyme lactate oxidase. Lactate oxidase produces hydrogen peroxide, which is a toxic byproduct and can foul the surface of the sensor. Here we present the development of a noninvasive wearable electrochemical lactate biosensor for the detection of lactic acid. This work presents the development of non- invasive wearable electrochemical lactate biosensor for detection of lactic acid. The bioelectrode comprised D-Lactate dehydrogenase (D-LDH) immobilized on multi-walled carbon nanotubes (MWCNTs) using polydimethylsiloxane (PDMS) as a flexible substrate platform. The lactate biosensor exhibited a dynamic linear range of 2 mM to 44 mM lactic acid with a good sensitivity of 189.89 μA/mM cm2. This electrochemical biosensor has the potential to be used for the real-time detection of lactate in the clinical, biological and sports medicine fields.","PeriodicalId":6787,"journal":{"name":"2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS)","volume":"7 1","pages":"580-583"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82484974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0