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Novel Graphene-Based Devices

Novel Graphene-Based Devices

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International Conference on Nanoscience & Technology,China 2013(ChinaNANO 2013)

作者： Tian-Ling Ren He Tian Yi Yang Dan Xie Gang Zhang H.-S.Philip Wong Yuegang Zhang Institute of Microelectronics Tsinghua University Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua University Key Laboratory for the Physics and Chemistry of Nanodevices and Department of Electronics Peking University Center for Integrated Systems and Department of Electrical Engineering Stanford University Suzhou Institute of Nano-Tech and Nano-Bionics Chinese Academy of Sciences

As Integrated Circuit technologies continues advance into the 22 nm node, more technical challenges are waiting ahead. Due to its superior properties, graphene-based devices have great potential to make Moore’s law go further and make solutions more than Moore’s law. In this paper, several kinds of novel graphene-based devices are shown, which are graphene sound source, graphene thermal rectifier, graphene touch pad and graphene resistive random access memory （RRAM）. Those devices are fundamental different from conventional devices. Among them, graphene sound source is fully transparent, flexible, ultrathin without moving parts;Graphene thermal rectifier could control the heat flux with large forward/reversed ratio;Graphene touch pad is fully flexible with high response sensitivity both on flat and curvature surface;Graphene RRAM could monitor the oxygen movement in RRAM and realize the current reduction. Those novel graphene-based devices could open wide applications such as in multi-media, bio-medicine and smart systems.

关键词： Graphene Sound Source Touch Pad Thermal Rectifier Resistive Random Access Memory

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Novel Graphene-Based Devices

Novel Graphene-Based Devices

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International Conference on Nanoscience & Technology,China 2013(ChinaNANO 2013)(中国国际纳米科学和技术大会)

作者： Tian-Ling Ren He Tian Yi yang Dan Xie Gang Zhang H.-S.Philip Wong Yuegang Zhang Institute of Microelectronics Tsinghua UniversityBeijing 100084China Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua UniversityBeijing 100084China Key Laboratory for the Physics and Chemistry of Nanodevices and Department of ElectronicsPeking UniversityBeijing 100871China Center for Integrated Systems and Department of Electrical EngineeringStanford UniversityStanfordCA 94305USA Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123

As Integrated Circuit technologies continues advance into the 22 nm node, more technical challenges are waiting *** to its superior properties,graphene-based devices have great potential to make Moore's law go... 详细信息

关键词： Graphene Sound Source Touch Pad Thermal Rectifier Resistive Random Access Memory

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Novel radio frequency energy harvesting model

Novel radio frequency energy harvesting model

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2012 IEEE International Power engineering and Optimization Conference, PEOCO 2012

作者： ElAnzeery, Hossam Mahmoud Gamal ElDin Mohammed ElBagouri, Mohamed Abd ElAziz Saad Guindi, Rafik Department of Microelectronics System Design Nanoelectronics Integrated Systems Center Nile University Smart Village B2 Km 28 Cairo-Alex. Desert Road 12677 Cairo Egypt Department of Electrical and Electronics Engineering University of Technology PETRONAS Bandar Seri Iskandar 31750 Tronoh Perak Malaysia

ISBN: (纸本)9781467306614

Energy and Environment, both are the main concern for every researcher allover the world. Alternative energy sources that are environmental friendly became the challenge to satisfy world needs. Oil and Gas are no more the main source of Energy, consequently the demand of an everlasting cheap source of energy that is environmental friendly, is the main goal recently. During the last decade, power consumption has decreased opening the field for energy harvesting to become a real time solution for providing different sources of electrical power. Energy Harvesting is a new technology that is going to make a revolution in the coming decade. Energy Harvesting is a technique to provide alternative sources of energy that are environmental friendly and low in cost. Future applications need wireless devices to operate for longer durations away from centralized power sources or the amount of power that can be supplied to these wireless devices to be increased. Currently, many technologies have been developed that attempt to overcome the limitations imposed on wireless devices. Radio Frequency Energy Harvesting is one of these types of energy harvesting that is able to convert Radio Frequency waves from ambient air to electrical energy. This paper presents a model for harvesting radio frequency energy waves. The presented model is directed towards different applications and targeting mainly Radio Frequency Identification (RFID) applications, where it works on frequencies in the range of 2.1 - 2.45 GHz. The recommended model faces size and efficiency problems presenting a very small radio frequency energy-harvesting model that can be implemented easily inside Radio Frequency Identification (RFID) applications. A final model for Radio Frequency Energy Harvesting is proposed based on different types of simulations and experiments. © 2012 IEEE.

关键词： Energy harvesting

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Electromagnetic susceptibility analysis of ICs using DPI method with consideration of PDN

Electromagnetic susceptibility analysis of ICs using DPI met...

引用

Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Bo Pu Jae Joong Lee Sang Keun Kwak So Young Kim Wansoo Nah Electromagnetic Compatibility Laboratory Department of Electrical Engineering Sungkyunkwan University Suwon South Korea IC Design and Solutions Laboratory Department of Semiconductor Systems Engineering Sungkyunkwan University Suwon South Korea

This paper predicts electromagnetic susceptibility (EMS) of integrated circuits (ICs) with novel consideration of complex power distribution network (PDN). For accurate simulation performance, the set-up model is derived in detail, especially the PDN. PDN model is extracted from the physical configuration and also in view of the function of system to express the ground bounce exactly since it is a pivot factor in DPI test for EMS. After measurement, comparison with simulation result is applied to validate the proposed model and estimate the electromagnetic susceptibility of ICs.

关键词： Integrated circuit modeling Energy management Semiconductor device measurement Couplers Electromagnetics Power systems

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Novel Radio Frequency Energy Harvesting model

Novel Radio Frequency Energy Harvesting model

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International Power engineering and Optimization Conference (PEOCO)

作者： Hossam Mahmoud Gamal ElDin Mohammed ElAnzeery Mohamed Abd ElAziz Saad ElBagouri Rafik Guindi Department of Microelectronics System Design Nanoelectronics Integrated Systems Center Nile University Cairo Egypt Department of Electrical & Electronics Engineering University of Technology PETRONAS Bandar Seri Iskandar Tronoh Perak Malaysia

关键词： Radiofrequency identification Energy harvesting Wireless sensor networks Schottky diodes Wireless communication Antennas Capacitors

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Electrode/oxide interface engineering by inserting single-layer graphene: Application for HfOx-based resistive random access memory

Electrode/oxide interface engineering by inserting single-la...

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International Electron Devices Meeting (IEDM)

作者： Hong-Yu Chen He Tian Bin Gao Shimeng Yu Jiale Liang Jinfeng Kang Yuegang Zhang Tian-Ling Ren H.-S. Philip Wong Center for Integrated Systems and Department of Electrical Engineering Stanford University Stanford CA USA Lawrence Berkeley National Laboratory Molecular Foundry Berkeley CA USA Institute of Microelectronics Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua University Beijing China Institute of Microelectronics Peking University Beijing China

Electrode/oxide interface with inserted single-layer graphene (SLG) increases low resistance state (LRS) resistance (> 1MΩ) due to its intrinsically high out-of-plane resistance in HfO x -based resistive random access memory (RRAM). This interface engineering technique enables the reduction of the RESET current by 22 times and the programming power consumption by 47 times. The interface between oxide layer and metal electrode is studied using Ramen spectroscopy coupled with electrical measurement. Raman mapping and single point measurements show noticeable changes in both D-band and G-band signals of SLG during electrical cycling. This observation suggests a possible interaction of oxygen migrated from the metal oxide with the graphene. This work illustrates that interface engineering design plays an important role for RRAM material selection in addition to exploring different metal oxides or metal electrode materials for RRAM.

关键词： Graphene Resistance Switches Electrodes Hafnium compounds Ions

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Downhole Pipe Selection and Arrangement for Acoustic Drillstring Telemetry

Downhole Pipe Selection and Arrangement for Acoustic Drillst...

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IEEE Conference on Industrial Electronics and Applications

作者： L. S. Kumar W. K. Han Y. L. Guan Y. H. Lee S. Sun A. A. Muthukumaraswamy M. Je School of Electrical and Electronic Engineering Nanyang Technological University Modulation and Coding Department Institute for Infocomm Research (I2R) Agency for Science Technology and Research (A*STAR) Integrated Circuits and Systems Laboratory Institute of Microelectronics (IME) Agency for Science Technology and Research (A*STAR)

ISBN: (纸本)9781457721182

Drillstring acoustic telemetry is an effective transmission method to retrieve downhole data. In this paper, finite-difference algorithm is used for acoustic wave propagation prediction along the drillstring. An impulse excitation signal of time duration 30.87 μs is transmitted from the downhole and the wave displacement at the receiver is found using finite-difference algorithm. The resultant impulse and frequency responses are plotted and compared for different segments. It is found that the selection and arrangement of downhole pipes plays a vital role in improving the transmission efficiency of extensional waves transmitted through the drillstring for acoustic telemetry, particularly in the high-frequency bands. In order to find the optimal pipe arrangement order, 4 segments of drillstring with lengths d_(11) to d_(14) (in increasing length between 9.3434 m and 9.8185 m) are arranged in all 24 possible permutations. The energy of the frequency response is found for each of the six pass bands for the twenty four arrangements. It is concluded from the findings that placing the shortest pipe at the downhole first, followed by the longest pipe, then the next longest pipe and so on, produces the best possible telemetry performance in terms of optimal acoustic energy transfer.

关键词： Acoustic drillstring telemetry Finite difference algorithm Impulse response Pipe arrangement

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Improved supervision of NN's AOA determination with limited 1-D phased-array training data

Improved supervision of NN's AOA determination with limited ...

引用

2011 IEEE National Aerospace and Electronics Conference, NAECON 2011

作者： Van Sickle, Kevin Abdel-Aty-Zohdy, Hoda S. Microelectronics and Bio-Inspired Systems Design Lab. Department of Electrical and Computer Engineering Oakland University Rochester MI United States

ISBN: (纸本)9781457710407

A sixteen-channel linear phased array radar is calibrated by means of Artificial Neural Network (ANN). Limited data are used to train the various layers of the network, for Angle of Arrival (AOA) determinacy. This is designed to increase speed of operation and to prevent over fitting. The designed simulator generates time-series data sets representing continuous span of AOA. The generated datasets are used in multilayer feedforward NNs to find the phase, which is then used as inputs to Spiking Neural Network (SNN) o determine AOA. SNNs are used for hardware implementation feasibility. The designed simulator improved the accuracy of AOA determination, and opens the door for a wide variety of radar classification applications © 2011 IEEE.

关键词： Neural networks

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A parallel Ray Tracing architecture suitable for application-specific hardware and GPGPU implementations

A parallel Ray Tracing architecture suitable for application...

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2011 14th Euromicro Conference on Digital System design: Architectures, Methods and Tools, DSD 2011

作者： Nery, Alexandre S. Nedjah, Nadia Franca, Felipe M.G. Jozwiak, Lech LAM - Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal Rio de Janeiro Brazil Department of Electronics Engineering and Telecommunications Faculty of Engineering Universidade do Estado Rio de Janeiro Brazil Department of Electrical Engineering - Electronic Systems Eindhoven University of Technology Netherlands

ISBN: (纸本)9780769544946

The Ray Tracing rendering algorithm can produce high-fidelity images of 3-D scenes, including shadow effects, as well as reflections and transparencies. This is currently done at a processing speed of at most 30 frames per second. Therefore, actual implementations of the algorithm are not yet suitable for interactive real-time rendering, which is required in games and virtual reality based applications. Fortunately, the algorithm allows for massive parallelization of its computations. In this paper, we present a parallel architecture for ray tracing based on a uniform spatial subdivision of the scene and exploiting an embedded computation of ray-triangle intersections. This approach allows for a significant acceleration of intersection computations, as well as, a reduction of the total number of the required intersections checks. Furthermore, it allows for these checks to be performed in parallel and in advance for each ray. In this paper we discuss and analyze an ASIP-based implementation using FPGAs and a GPGPU-based parallel implementation of the proposed architecture. The performance of both implementations are reported and compared." © 2011 IEEE.

关键词： Ray tracing

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Improved supervision of NN's AOA Determination with limited 1-D Phased-Array Training Data

Improved supervision of NN's AOA Determination with limited ...

引用

IEEE National Aerospace and Electronics Conference

作者： Kevin Van Sickle Hoda S. Abdel-Aty-Zohdy Microelectronics & Bio-Inspired Systems Design Lab Department of Electrical and Computer Engineering Oakland University

ISBN: (纸本)9781457710407

A sixteen-channel linear phased array radar is calibrated by means of Artificial Neural Network (ANN). Limited data are used to train the various layers of the network, for Angle of Arrival (AOA) determinacy. This is designed to increase speed of operation and to prevent over fitting. The designed simulator generates time-series data sets representing continuous span of AOA. The generated data-sets are used in multilayer feed-forward NNs to find the phase, which is then used as inputs to Spiking Neural Network (SNN) o determine AOA. SNNs are used for hardware implementation feasibility. The designed simulator improved the accuracy of AOA determination, and opens the door for a wide variety of radar classification applications.

关键词： Simulation SNN AOA Phased Array Training-Based Limited Data Set Classification ANGLE OF ATTACK SNN gene phased array simulating hierarchical network Continuous spans

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