7,290 research outputs found

    Process Optimization and Downscaling of a Single Electron Single Dot Memory

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    This paper presents the process optimization of a single-electron nanoflash electron memory. Self-aligned single dot memory structures have been fabricated using a wet anisotropic oxidation of a silicon nanowire. One of the main issue was to clarify the process conditions for the dot formation. Based on the process modeling, the influence of various parameters (oxidation temperature, nanowire shape) has been investigated. The necessity of a sharp compromise between these different parameters to ensure the presence of the memory dot has been established. In order to propose an aggressive memory cell, the downscaling of the device has been carefully studied. Scaling rules show that the size of the original device could be reduced by a factor of 2. This point has been previously confirmed by the realization of single-electron memory devices

    Study program to improve the open-circuit voltage of low resistivity single crystal silicon solar cells

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    The results of a 14 month program to improve the open circuit voltage of low resistivity silicon solar cells are described. The approach was based on ion implantation in 0.1- to 10.0-ohm-cm float-zone silicon. As a result of the contract effort, open circuit voltages as high as 645 mV (AMO 25 C) were attained by high dose phosphorus implantation followed by furnace annealing and simultaneous SiO2 growth. One key element was to investigate the effects of bandgap narrowing caused by high doping concentrations in the junction layer. Considerable effort was applied to optimization of implant parameters, selection of furnace annealing techniques, and utilization of pulsed electron beam annealing to minimize thermal process-induced defects in the completed solar cells

    OPTIMIZATION OF MULTI-JUNCTION SOLAR CELLS FOR SPACE APPLICATIONS MODELED WITH SILVACO ATLAS

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    Dual junction solar cells are used in space applications for their high efficiency. In this thesis, we model an indium gallium phosphide/gallium arsenide dual-junction solar cell. The solar cell is modeled using Silvaco ATLAS software. Solar cell layer thicknesses and doping concentrations were varied to find optimum efficiency parameters for the solar cell under a variety of radiation conditions. These radiation conditions mimic the damage done at various orbits around Earth for an arbitrary mission length of 12 years. The optimization process resulted in an improved efficiency of 15.1% to 22.4%.http://archive.org/details/optimizationofmu1094559615Lieutenant, United States NavyApproved for public release; distribution is unlimited

    An effective modeling approach for high efficient solar cell using virtual wafer fabrication tools

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    In order to give a real understanding and realization of all the phenomena occurring inside the photovoltaic cell devices, the development of a reliable simulated model first is also essential. In this paper, a novel method for developing a realistic model of an efficient solar cell is presented. An efficient model of a Dual Junction InGaP/GaAs solar cell having GaAs tunnel diode is prepared and fully simulated using Silvaco VWF/ATLAS code. An optimization of window layer, ARC, BSF etc are also performed incorporating the effect of some of the different parameters on the performance of this model. The major stages of the process are explained and the simulation results are compared with published experimental data to demonstrate the accuracy of our results produced by the model utilizing this technique. For this optimized InGaP/GaAs Dual Junction cell model having 125 nm DLAR on 18 nm InAlP textured window with effective 500 nm InAlGaP bottom BSF , a maximum conversion efficiency of 32.20 % (1 sun) and 36.67 % (1000 suns) is obtained under AM1.5G illumination. The introduction of this modeling technique to the photovoltaic community will prove to be of great importance in aiding in the design and development of advanced solar cells using Silvaco Virtual Wafer Fabrication Tools. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/2212

    Nanowire Zinc Oxide MOSFET Pressure Sensor

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    Fabrication and characterization of a new kind of pressure sensor using self-assembly Zinc Oxide (ZnO) nanowires on top of the gate of a Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is presented. Self-assembly ZnO nanowires were fabricated with a diameter of 80 nm and 800 nm height (80:8 aspect ratio) on top of the gate of the MOSFET. The sensor showed a 110% response in the drain current due to pressure, even with the expected piezoresistive response of the silicon device removed from the measurement. The pressure sensor was fabricated through low temperature bottom up ultrahigh aspect ratio ZnO nanowire growth using anodic alumina oxide (AAO) templates. The pressure sensor has two main components: MOSFET and ZnO nanowires. Silicon Dioxide growth, photolithography, dopant diffusion, and aluminum metallization were used to fabricate a basic MOSFET. In the other hand, a combination of aluminum anodization, alumina barrier layer removal, ZnO atomic layer deposition (ALD), and wet etching for nanowire release were optimized to fabricate the sensor on a silicon wafer. The ZnO nanowire fabrication sequence presented is at low temperature making it compatible with CMOS technology

    Research on AlGaAs

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    Issued as Monthly cost status reports [nos. 1-11], Monthly technical progress report, nos. 1-11, and Draft final report, Project no. E-21-60

    Development of a Novel Hybrid Multi-Junction Architecture for Silicon Solar Cells

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    Although existing technology can produce highly efficient solar cells, they remain commercially cost-prohibitive. A low-cost alternative was investigated in this research by developing a novel hybrid multi-junction silicon (HMJ-Si) solar cell architecture through modeling, fabrication, and testing. The architecture consists of stacked silicon solar cells with an air gap between them and was designed with metal grating contacts that exploit interference patterns for light management. The interference patterns were examined in MATLAB and verified using Lumerical FDTD Solutions. Development focused on wafer configuration; diffusion profile; front contact design; optical, electrical, and thermal loss reduction; and efficiency. The architecture was optimized using an unpolished-front, p-type top cell with 128nm of Si3N4, a butterfly front contact, and 400 m grating spaced 900 m apart; a polished-front, n-type bottom cell with 200 m grating spaced 1100 m apart; and both cells having an enhanced back surface field diffusion profile with 500nm silver contacts. Efficiency peaked at 8.42% using a silver-coated wafer in lieu of the bottom cell. The results indicate that the architecture is a viable solar cell design requiring additional research for optimization

    ๋†’์€ ์ „๋ฅ˜ ๊ตฌ๋™๋Šฅ๋ ฅ์„ ๊ฐ€์ง€๋Š” SiGe ๋‚˜๋…ธ์‹œํŠธ ๊ตฌ์กฐ์˜ ํ„ฐ๋„๋ง ์ „๊ณ„ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021. 2. ๋ฐ•๋ณ‘๊ตญ.The development of very-large-scale integration (VLSI) technology has continuously demanded smaller devices to achieve high integration density for faster computing speed or higher capacity. However, in the recent complementary-metal-oxide-semiconductor (CMOS) technology, simple downsizing the dimension of metal-oxide-semiconductor field-effect transistor (MOSFET) no longer guarantees the boosting performance of IC chips. In particular, static power consumption is not reduced while device size is decreasing because voltage scaling is slowed down at some point. The increased off-current due to short-channel effect (SCE) of MOSFET is a representative cause of the difficulty in voltage scaling. To overcome these fundamental limits of MOSFET, many researchers have been looking for the next generation of FET device over the last ten years. Tunnel field-effect transistor (TFET) has been intensively studied for its steep switching characteristics. Nevertheless, the poor current drivability of TFET is the most serious obstacle to become competitive device for MOSFET. In this thesis, TFET with high current drivability in which above-mentioned problem is significantly solved is proposed. Vertically-stacked SiGe nanosheet channels are used to boost carrier injection and gate control. The fabrication technique to form highly-condensed SiGe nanosheets is introduced. TFET is fabricated with MOSFET with the same structure in the CMOS-compatible process. Both technology-computer-aided-design (TCAD) simulation and experimental results are utilized to support and examine the advantages of proposed TFET. From the perspective of the single device, the improvement in switching characteristics and current drivability are quantitatively and qualitatively analyzed. In addition, the device performance is compared to the benchmark of previously reported TFET and co-fabricated MOSFET. Through those processes, the feasibility of SiGe nanosheet TFET is verified. It is revealed that the proposed SiGe nanosheet TFET has notable steeper switching and low leakage in the low drive voltage as an alternative to conventional MOSFET.์ดˆ๊ณ ๋ฐ€๋„ ์ง‘์ ํšŒ๋กœ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์€ ๊ณ ์ง‘์ ๋„ ๋‹ฌ์„ฑ์„ ํ†ตํ•ด ๋‹จ์œ„ ์นฉ์˜ ์—ฐ์‚ฐ ์†๋„ ๋ฐ ์šฉ๋Ÿ‰ ํ–ฅ์ƒ์— ๊ธฐ์—ฌํ•  ์†Œํ˜•์˜ ์†Œ์ž๋ฅผ ๋Š์ž„์—†์ด ์š”๊ตฌํ•˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ตœ์‹ ์˜ ์ƒ๋ณดํ˜• ๊ธˆ์†-์‚ฐํ™”๋ง‰-๋ฐ˜๋„์ฒด (CMOS) ๊ธฐ์ˆ ์—์„œ ๊ธˆ์†-์‚ฐํ™”๋ง‰-๋ฐ˜๋„์ฒด ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ (MOSFET) ์˜ ๋‹จ์ˆœํ•œ ์†Œํ˜•ํ™”๋Š” ๋” ์ด์ƒ ์ง‘์ ํšŒ๋กœ์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์„ ๋ณด์žฅํ•ด ์ฃผ์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์†Œ์ž์˜ ํฌ๊ธฐ๊ฐ€ ์ค„์–ด๋“œ๋Š” ๋ฐ˜๋ฉด ์ •์  ์ „๋ ฅ ์†Œ๋ชจ๋Ÿ‰์€ ์ „์•• ์Šค์ผ€์ผ๋ง์˜ ๋‘”ํ™”๋กœ ์ธํ•ด ๊ฐ์†Œ๋˜์ง€ ์•Š๊ณ  ์žˆ๋Š” ์ƒํ™ฉ์ด๋‹ค. MOSFET์˜ ์งง์€ ์ฑ„๋„ ํšจ๊ณผ๋กœ ์ธํ•ด ์ฆ๊ฐ€๋œ ๋ˆ„์„ค ์ „๋ฅ˜๊ฐ€ ์ „์•• ์Šค์ผ€์ผ๋ง์˜ ์–ด๋ ค์›€์„ ์ฃผ๋Š” ๋Œ€ํ‘œ์  ์›์ธ์œผ๋กœ ๊ผฝํžŒ๋‹ค. ์ด๋Ÿฌํ•œ ๊ทผ๋ณธ์ ์ธ MOSFET์˜ ํ•œ๊ณ„๋ฅผ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ์ง€๋‚œ 10์—ฌ๋…„๊ฐ„ ์ƒˆ๋กœ์šด ๋‹จ๊ณ„์˜ ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ ์†Œ์ž๋“ค์ด ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ ์ค‘ ํ„ฐ๋„ ์ „๊ณ„ ํšจ๊ณผ ํŠธ๋žœ์ง€์Šคํ„ฐ(TFET)์€ ๊ทธ ํŠน์œ ์˜ ์šฐ์ˆ˜ํ•œ ์ „์› ํŠน์„ฑ์œผ๋กœ ๊ฐ๊ด‘๋ฐ›์•„ ์ง‘์ค‘์ ์œผ๋กœ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋งŽ์€ ์—ฐ๊ตฌ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , TFET์˜ ๋ถ€์กฑํ•œ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์€ MOSFET์˜ ๋Œ€์ฒด์žฌ๋กœ ์ž๋ฆฌ๋งค๊น€ํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ํฐ ๋ฌธ์ œ์ ์ด ๋˜๊ณ  ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ์ƒ๊ธฐ๋œ ๋ฌธ์ œ์ ์„ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ์šฐ์ˆ˜ํ•œ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์„ ๊ฐ€์ง„ TFET์ด ์ œ์•ˆ๋˜์—ˆ๋‹ค. ๋ฐ˜์†ก์ž ์œ ์ž…๊ณผ ๊ฒŒ์ดํŠธ ์ปจํŠธ๋กค์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ˆ˜์ง ์ ์ธต๋œ ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„(SiGe) ๋‚˜๋…ธ์‹œํŠธ ์ฑ„๋„์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ๋˜ํ•œ, ์ œ์•ˆ๋œ TFET์€ CMOS ๊ธฐ๋ฐ˜ ๊ณต์ •์„ ํ™œ์šฉํ•˜์—ฌ MOSFET๊ณผ ํ•จ๊ป˜ ์ œ์ž‘๋˜์—ˆ๋‹ค. ํ…Œํฌ๋†€๋กœ์ง€ ์ปดํ“จํ„ฐ ์ง€์› ์„ค๊ณ„(TCAD) ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹ค์ œ ์ธก์ • ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ œ์•ˆ๋œ ์†Œ์ž์˜ ์šฐ์ˆ˜์„ฑ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋‹จ์œ„ CMOS ์†Œ์ž์˜ ๊ด€์ ์—์„œ, ์ „์› ํŠน์„ฑ๊ณผ ์ „๋ฅ˜ ๊ตฌ๋™ ๋Šฅ๋ ฅ์˜ ํ–ฅ์ƒ์„ ์ •๋Ÿ‰์ , ์ •์„ฑ์  ๋ฐฉ๋ฒ•์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ , ์ œ์ž‘๋œ ์†Œ์ž์˜ ์„ฑ๋Šฅ์„ ๊ธฐ์กด ์ œ์ž‘ ๋ฐ ๋ณด๊ณ ๋œ TFET ๋ฐ ํ•จ๊ป˜ ์ œ์ž‘๋œ MOSSFET๊ณผ ๋น„๊ตํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ณผ์ •์„ ํ†ตํ•ด, ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„ ๋‚˜๋…ธ์‹œํŠธ TFET์˜ ํ™œ์šฉ ๊ฐ€๋Šฅ์„ฑ์ด ์ž…์ฆ๋˜์—ˆ๋‹ค. ์ œ์•ˆ๋œ ์‹ค๋ฆฌ์ฝ˜์ €๋งˆ๋Š„ ๋‚˜๋…ธ์‹œํŠธ ์†Œ์ž๋Š” ์ฃผ๋ชฉํ•  ๋งŒํ•œ ์ „์› ํŠน์„ฑ์„ ๊ฐ€์กŒ๊ณ  ์ €์ „์•• ๊ตฌ๋™ ํ™˜๊ฒฝ์—์„œ ํ•œ์ธต ๋” ๋‚ฎ์€ ๋ˆ„์„ค ์ „๋ฅ˜๋ฅผ ๊ฐ€์ง์œผ๋กœ์จ ํ–ฅํ›„ MOSFET์„ ๋Œ€์ฒดํ• ๋งŒํ•œ ์ถฉ๋ถ„ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค.Chapter 1 Introduction 1 1.1. Power Crisis of Conventional CMOS Technology 1 1.2. Tunnel Field-Effect Transistor (TFET) 6 1.3. Feasibility and Challenges of TFET 9 1.4. Scope of Thesis 11 Chapter 2 Device Characterization 13 2.1. SiGe Nanosheet TFET 13 2.2. Device Concept 15 2.3. Calibration Procedure for TCAD simulation 17 2.4. Device Verification with TCAD simulation 21 Chapter 3 Device Fabrication 31 3.1. Fabrication Process Flow 31 3.2. Key Processes for SiGe Nanosheet TFET 33 3.2.1. Key Process 1 : SiGe Nanosheet Formation 34 3.2.2. Key Process 2 : Source/Drain Implantation 41 3.2.3. Key Process 3 : High-ฮบ/Metal gate Formation 43 Chapter 4 Results and Discussion 53 4.1. Measurement Results 53 4.2. Analysis of Device Characteristics 56 4.2.1. Improved Factors to Performance in SiGe Nanosheet TFET 56 4.2.2. Performance Comparison with SiGe Nanosheet MOSFET 62 4.3. Performance Evaluation through Benchmarks 64 4.4. Optimization Plan for SiGe nanosheet TFET 66 4.4.1. Improvement of Quality of Gate Dielectric 66 4.4.2. Optimization of Doping Junction at Source 67 Chapter 5 Conclusion 71 Bibliography 73 Abstract in Korean 81 List of Publications 83Docto
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