886 research outputs found

    Electrical characterization of plasma-enhanced Cvd silicon nitride dielectric on copper

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    In this work, a novel metal-insulator-metal (MIM) capacitor process is introduced and integrated in a Copper Interconnect technology, whose smallest feature size is 0.18mum process, which has good yield, reliability and repeatability. The MIM uses a one-photomask process and hence is termed as the Low-cost-integration (LCI) MIM. The LCI MIM uses copper as the bottom electrode, plasma enhanced silicon nitride as the dielectric, and Tantalum nitride as the top electrode. The target capacitance density is 1.5fF/mum2. The target leakage current is 1e-7A/cm2 at 3.3V at 125รƒโ€šร‚ยฐC. The maximum operating voltages that the MIM is designed for is 5V. The voltage linearity is desired to be less than 100ppm/v; The purpose of the study is to determine the feasibility of integrating the low-cost-integration (LCI) MIM capacitor and to characterize the device to ensure that it meets the above mentioned target values for the various parameters. This is done by electrically characterizing the capacitor for the capacitance change with voltage, the leakage current at accelerated voltages and the time-dependent-dielectric breakdown (TDDB) under various electric fields. (Abstract shortened by UMI.)

    Micro/Nano Structures and Systems

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    Micro/Nano Structures and Systems: Analysis, Design, Manufacturing, and Reliability is a comprehensive guide that explores the various aspects of micro- and nanostructures and systems. From analysis and design to manufacturing and reliability, this reprint provides a thorough understanding of the latest methods and techniques used in the field. With an emphasis on modern computational and analytical methods and their integration with experimental techniques, this reprint is an invaluable resource for researchers and engineers working in the field of micro- and nanosystems, including micromachines, additive manufacturing at the microscale, micro/nano-electromechanical systems, and more. Written by leading experts in the field, this reprint offers a complete understanding of the physical and mechanical behavior of micro- and nanostructures, making it an essential reference for professionals in this field

    MME2010 21st Micromechanics and Micro systems Europe Workshop : Abstracts

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    Wide Bandgap Based Devices: Design, Fabrication and Applications, Volume II

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    Wide bandgap (WBG) semiconductors are becoming a key enabling technology for several strategic fields, including power electronics, illumination, and sensors. This reprint collects the 23 papers covering the full spectrum of the above applications and providing contributions from the on-going research at different levels, from materials to devices and from circuits to systems

    A Review on Mechanics and Mechanical Properties of 2D Materials - Graphene and Beyond

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    Since the first successful synthesis of graphene just over a decade ago, a variety of two-dimensional (2D) materials (e.g., transition metal-dichalcogenides, hexagonal boron-nitride, etc.) have been discovered. Among the many unique and attractive properties of 2D materials, mechanical properties play important roles in manufacturing, integration and performance for their potential applications. Mechanics is indispensable in the study of mechanical properties, both experimentally and theoretically. The coupling between the mechanical and other physical properties (thermal, electronic, optical) is also of great interest in exploring novel applications, where mechanics has to be combined with condensed matter physics to establish a scalable theoretical framework. Moreover, mechanical interactions between 2D materials and various substrate materials are essential for integrated device applications of 2D materials, for which the mechanics of interfaces (adhesion and friction) has to be developed for the 2D materials. Here we review recent theoretical and experimental works related to mechanics and mechanical properties of 2D materials. While graphene is the most studied 2D material to date, we expect continual growth of interest in the mechanics of other 2D materials beyond graphene

    ํ•˜๋“œ์›จ์–ด ๊ธฐ๋ฐ˜ ์‹ ๊ฒฝ๋ง์„ ์œ„ํ•œ SiO2 ํ•€ ๊ธฐ๋ฐ˜ AND-ํ˜• ํ”Œ๋ž˜์‹œ ์‹œ๋ƒ…์Šค ์–ด๋ ˆ์ด

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2022. 8. ์ตœ์šฐ์˜.Neuromorphic computing systems have emerged as a novel artificial intelligence paradigm to overcome the von Neumann bottleneck by mimicking the biological nervous system. Synaptic devices for hardware-based neural networks (HNNs) in neuromorphic computing systems require parallel computability, high scalability, low-power operation, and selective write operation. In this work, a SiO2 fin-based AND flash memory synaptic device for a HNN is proposed. The proposed device having a round-shaped channel structure with a 6 nm-wide thin oxide fin improves program performance compared to a flash synaptic device with planar-type channel by locally enhancing electric fields. The AND flash cell shows a high on/off current ratio over 105, a low sup-pA off-current, and a high dynamic range of synaptic weights over 103 with a low program voltage below 9 V. Selective write operation is performed using program and erase inhibition pulse schemes in the fabricated AND array based on SiO2 fin, and weighted sum operation is experimentally verified. In addition, a 3D AND flash synaptic array with round-shaped poly-Si channel is designed and fabricated to improve scalability. Key fabrication steps are proposed to address misalignment issues. The proposed 3D AND array performs selective write operation using program and erase inhibition pulse schemes. A novel synaptic architecture with two AND flash memory cells for off-chip learning is proposed. The novel synapse structure based on AND flash cells is used to perform parallel XNOR operation and bit-counting for binary neural networks (BNNs). Proposed BNN based on the AND flash array structure exhibits a classification accuracy of 89.9% on CIFAR-10 dataset, comparable to that of an ideal software-based BNN. Furthermore, differential synaptic architecture using AND flash array is proposed to improve robustness against on-current retention loss.๋‰ด๋กœ๋ชจํ”ฝ ์ปดํ“จํŒ… ์‹œ์Šคํ…œ์€ ์ƒ๋ฌผํ•™์  ์‹ ๊ฒฝ๊ณ„๋ฅผ ๋ชจ๋ฐฉํ•˜์—ฌ ํฐ ๋…ธ์ด๋งŒ ๋ณ‘๋ชฉ ํ˜„์ƒ์„ ๊ทน๋ณตํ•˜๋Š” ์ƒˆ๋กœ์šด ์ธ๊ณต ์ง€๋Šฅ ํŒจ๋Ÿฌ๋‹ค์ž„์œผ๋กœ ๋“ฑ์žฅํ•˜์˜€๋‹ค. ๋‰ด๋กœ๋ชจํ”ฝ ์ปดํ“จํŒ… ์‹œ์Šคํ…œ์˜ ํ•˜๋“œ์›จ์–ด ๊ธฐ๋ฐ˜ ์‹ ๊ฒฝ๋ง์„ ์œ„ํ•œ ์‹œ๋ƒ…์Šค ์†Œ์ž๋Š” ๋ณ‘๋ ฌ ์—ฐ์‚ฐ ๊ฐ€๋Šฅ์„ฑ, ๋†’์€ ์ง‘์ ๋„, ์ €์ „๋ ฅ ๋™์ž‘, ์„ ํƒ์ ์ธ ์“ฐ๊ธฐ ๋™์ž‘์„ ํ•„์š”๋กœ ํ•œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š”, ํ•˜๋“œ์›จ์–ด ๊ธฐ๋ฐ˜ ์‹ ๊ฒฝ๋ง์„ ์œ„ํ•œ SiO2 ํ•€ ๊ธฐ๋ฐ˜์˜ AND ํ”Œ๋ž˜์‹œ ๋ฉ”๋ชจ๋ฆฌ ์–ด๋ ˆ์ด๋ฅผ ์ œ์•ˆํ•œ๋‹ค. 6 nm ํญ์˜ ์–‡์€ ์‚ฐํ™”๋ฌผ ํ•€ ๊ธฐ๋ฐ˜์˜ ์›ํ˜• ์ฑ„๋„ ๊ตฌ์กฐ๋ฅผ ๊ฐ–๋Š” ์ œ์•ˆ๋œ ์†Œ์ž๋Š” ๊ตญ๋ถ€์ ์œผ๋กœ ์ „๊ณ„๋ฅผ ๊ฐ•ํ™”ํ•˜์—ฌ ํ‰๋ฉดํ˜• ์ฑ„๋„ ๊ตฌ์กฐ์˜ ํ”Œ๋ž˜์‹œ ์‹œ๋ƒ…์Šค ์†Œ์ž ๋Œ€๋น„ ํ”„๋กœ๊ทธ๋žจ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚จ๋‹ค. AND ํ”Œ๋ž˜์‹œ ์…€์€ 105 ์ด์ƒ์˜ ๋†’์€ ์˜จ/์˜คํ”„ ์ „๋ฅ˜ ๋น„์œจ, pA ๋ฏธ๋งŒ์˜ ์˜คํ”„ ์ „๋ฅ˜, ๊ทธ๋ฆฌ๊ณ  9 V ์ดํ•˜์˜ ๋‚ฎ์€ ํ”„๋กœ๊ทธ๋ž˜๋ฐ ์ „์••์„ ์‚ฌ์šฉํ•˜์—ฌ 103 ์ด์ƒ์˜ ๋†’์€ ์‹œ๋ƒ…์Šค ๊ฐ€์ค‘์น˜์˜ ๋™์  ๋ฒ”์œ„๋ฅผ ๋ณด์ธ๋‹ค. SiO2 ํ•€์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ œ์ž‘๋œ AND ์–ด๋ ˆ์ด์—์„œ๋Š” ํ”„๋กœ๊ทธ๋žจ ๋ฐ ์ด๋ ˆ์ด์ฆˆ ์–ต์ œ ํŽ„์Šค ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์„ ํƒ์  ์“ฐ๊ธฐ ๋™์ž‘์ด ํšจ์œจ์ ์œผ๋กœ ์ˆ˜ํ–‰๋˜๊ณ  ๊ฐ€์ค‘์น˜ ํ•ฉ ๋™์ž‘์ด ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆ๋œ๋‹ค. ๋˜ํ•œ, ์ง‘์ ๋„๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•ด ์›ํ˜• ํด๋ฆฌ์‹ค๋ฆฌ์ฝ˜ ์ฑ„๋„์„ ๊ฐ–๋Š” 3D AND ํ”Œ๋ž˜์‹œ ์‹œ๋ƒ…ํ‹ฑ ์–ด๋ ˆ์ด๊ฐ€ ์„ค๊ณ„ ๋ฐ ์ œ์ž‘๋œ๋‹ค. ์˜ค์ •๋ ฌ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ฃผ์š” ๊ณต์ • ๋‹จ๊ณ„๊ฐ€ ์ œ์•ˆ๋œ๋‹ค. ์ œ์•ˆ๋œ 3์ฐจ์› AND ์–ด๋ ˆ์ด๋Š” ํ”„๋กœ๊ทธ๋žจ ๋ฐ ์ด๋ ˆ์ด์ฆˆ ์–ต์ œ ํŽ„์Šค ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ์„ ํƒ์  ์“ฐ๊ธฐ ๋™์ž‘์„ ์ˆ˜ํ–‰ํ•œ๋‹ค. ์˜คํ”„ ์นฉ ํ•™์Šต์„ ์œ„ํ•ด ๋‘ ๊ฐœ์˜ AND ํ”Œ๋ž˜์‹œ ๋ฉ”๋ชจ๋ฆฌ ์…€์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ์ƒˆ๋กœ์šด ์‹œ๋ƒ…์Šค ์•„ํ‚คํ…์ฒ˜๋ฅผ ์ œ์•ˆํ•œ๋‹ค. AND ํ”Œ๋ž˜์‹œ ์…€ ๊ธฐ๋ฐ˜์˜ ์ƒˆ๋กœ์šด ์‹œ๋ƒ…์Šค ๊ตฌ์กฐ๋Š” ์ด์ง„ ์‹ ๊ฒฝ๋ง์„ ์œ„ํ•œ ๋ณ‘๋ ฌ XNOR ์—ฐ์‚ฐ๊ณผ ๋น„ํŠธ-์…ˆ์„ ์ˆ˜ํ–‰ํ•˜๋„๋ก ์‚ฌ์šฉ๋œ๋‹ค. AND ํ”Œ๋ž˜์‹œ ์–ด๋ ˆ์ด ๊ธฐ๋ฐ˜์˜ ์ œ์•ˆ๋œ ์ด์ง„ ์‹ ๊ฒฝ๋ง์€ CIFAR-10 ๋ฐ์ดํ„ฐ์—์„œ ์ด์ƒ์ ์ธ ์†Œํ”„ํŠธ์›จ์–ด ๊ธฐ๋ฐ˜ ์ด์ง„์‹ ๊ฒฝ๋ง์˜ ์ธ์‹ ์ •ํ™•๋„์™€ ์œ ์‚ฌํ•œ 89.9%์˜ ์ •ํ™•๋„๋ฅผ ๋ณด์ธ๋‹ค. ๋‚˜์•„๊ฐ€ ์šฐ๋ฆฌ๋Š” AND ํ”Œ๋ž˜์‹œ ์–ด๋ ˆ์ด๋ฅผ ์ด์šฉํ•œ ์ฐจ๋™ ์‹œ๋ƒ…์Šค ์•„ํ‚คํ…์ฒ˜์„ ์ œ์•ˆํ•˜์—ฌ ์ „๋ฅ˜ ์œ ์ง€ ์†์‹ค์— ๋Œ€ํ•œ ์•ˆ์ •์„ฑ์„ ๋†’์ธ๋‹ค.1. Introduction 1 1.1 Neuromorphic computing 1 1.2 Synaptic devices 3 1.3 Purpose of research 5 1.4 Dissertation outline 7 2. SiO2 fin-based AND flash synaptic array 8 2.1 Device structure 8 2.2 Fabrication process 10 2.3 Cell characteristics 16 2.4 Array characteristics 25 3. 3D AND flash synaptic array with rounded channel 34 3.1 Device structure 34 3.2 Fabrication process 37 3.2.1 Cell process steps 39 3.2.2 WL contact pad process steps 54 3.3 Cell characteristics 57 3.4 Array characteristics 62 4. Off-chip learning based on AND flash synaptic Array 72 4.1 Binary neural networks based on AND flash synaptic array 72 4.1.1 AND flash synaptic architecture 72 4.1.2 Differential synaptic architecture 80 4.2 Quantized neural networks based on AND flash synaptic array 84 5. Conclusion 86 Bibliography 89 Abstract in Korean 96๋ฐ•

    Feature Papers in Electronic Materials Section

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    This book entitled "Feature Papers in Electronic Materials Section" is a collection of selected papers recently published on the journal Materials, focusing on the latest advances in electronic materials and devices in different fields (e.g., power- and high-frequency electronics, optoelectronic devices, detectors, etc.). In the first part of the book, many articles are dedicated to wide band gap semiconductors (e.g., SiC, GaN, Ga2O3, diamond), focusing on the current relevant materials and devices technology issues. The second part of the book is a miscellaneous of other electronics materials for various applications, including two-dimensional materials for optoelectronic and high-frequency devices. Finally, some recent advances in materials and flexible sensors for bioelectronics and medical applications are presented at the end of the book

    Deposiรงรฃo de filmes do diamante para dispositivos electrรณnicos

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    This PhD thesis presents details about the usage of diamond in electronics. It presents a review of the properties of diamond and the mechanisms of its growth using hot filament chemical vapour deposition (HFCVD). Presented in the thesis are the experimental details and discussions that follow from it about the optimization of the deposition technique and the growth of diamond on various electronically relevant substrates. The discussions present an analysis of the parameters typically involved in the HFCVD, particularly the pre-treatment that the substrates receive- namely, the novel nucleation procedure (NNP), as well as growth temperatures and plasma chemistry and how they affect the characteristics of the thus-grown films. Extensive morphological and spectroscopic analysis has been made in order to characterise these films.Este trabalho discute a utilizaรงรฃo de diamante em aplicaรงรตes electrรณnicas. ร‰ apresentada uma revisรฃo detalhada das propriedades de diamante e dos respectivos mecanismos de crescimento utilizando deposiรงรฃo quรญmica a partir da fase vapor com filament quente (hot filament chemical vapour deposition - HFCVD). Os detalhes experimentais relativos ร  otimizaรงรฃo desta tรฉcnica tendo em vista o crescimento de diamante em vรกrios substratos com relevรขncia em eletrรณnica sรฃo apresentados e discutidos com detalhe. A discussรฃo inclui a anรกlise dos parรขmetros tipicamente envolvidos em HFCVD, em particular do prรฉ-tratamento que o substrato recebe e que รฉ conhecido na literatura como "novel nucleation procedure" (NNP), assim como das temperaturas de crescimento e da quรญmica do plasma, bem como a influรชncia de todos estes parรขmetros nas caracterรญsticas finais dos filmes. A caracterizaรงรฃo morfolรณgica dos filmes envolveu tรฉcnicas de microscopia e espetroscopia.Programa Doutoral em Engenharia Eletrotรฉcnic

    Remanufacturing and Advanced Machining Processes for New Materials and Components

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    "Remanufacturing and Advanced Machining Processes for Materials and Components presents current and emerging techniques for machining of new materials and restoration of components, as well as surface engineering methods aimed at prolonging the life of industrial systems. It examines contemporary machining processes for new materials, methods of protection and restoration of components, and smart machining processes. โ€ข Details a variety of advanced machining processes, new materials joining techniques, and methods to increase machining accuracy โ€ข Presents innovative methods for protection and restoration of components primarily from the perspective of remanufacturing and protective surface engineering โ€ข Discusses smart machining processes, including computer-integrated manufacturing and rapid prototyping, and smart materials โ€ข Provides a comprehensive summary of state-of-the-art in every section and a description of manufacturing methods โ€ข Describes the applications in recovery and enhancing purposes and identifies contemporary trends in industrial practice, emphasizing resource savings and performance prolongation for components and engineering systems The book is aimed at a range of readers, including graduate-level students, researchers, and engineers in mechanical, materials, and manufacturing engineering, especially those focused on resource savings, renovation, and failure prevention of components in engineering systems.
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