902 research outputs found

    Silicon on ferroelectric insulator field effect transistor (SOF-FET) a new device for the next generation ultra low power circuits

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    Title from PDF of title page, viewed on March 12, 2014Thesis advisor: Masud H. ChowdhuryVitaIncludes bibliographical references (pages 116-131)Thesis (M. S.)--School of Computer and Engineering. University of Missouri--Kansas City, 2013Field effect transistors (FETs) are the foundation for all electronic circuits and processors. These devices have progressed massively to touch its final steps in subnanometer level. Left and right proposals are coming to rescue this progress. Emerging nano-electronic devices (resonant tunneling devices, single-atom transistors, spin devices, Heterojunction Transistors rapid flux quantum devices, carbon nanotubes, and nanowire devices) took a vast share of current scientific research. Non-Si electronic materials like III-V heterostructure, ferroelectric, carbon nanotubes (CNTs), and other nanowire based designs are in developing stage to become the core technology of non-classical CMOS structures. FinFET present the current feasible commercial nanotechnology. The scalability and low power dissipation of this device allowed for an extension of silicon based devices. High short channel effect (SCE) immunity presents its major advantage. Multi-gate structure comes to light to improve the gate electrostatic over the channel. The new structure shows a higher performance that made it the first candidate to substitute the conventional MOSFET. The device also shows a future scalability to continue Moorรขโ‚ฌโ„ขs Law. Furthermore, the device is compatible with silicon fabrication process. Moreover, the ultra-low-power (ULP) design required a subthreshold slope lower than the thermionic-emission limit of 60mV/ decade (KT/q). This value was unbreakable by the new structure (SOI-FinFET). On the other hand most of the previews proposals show the ability to go beyond this limit. However, those pre-mentioned schemes have publicized a very complicated physics, design difficulties, and process non-compatibility. The objective of this research is to discuss various emerging nano-devices proposed for ultra-low-power designs and their possibilities to replace the silicon devices as the core technology in the future integrated circuit. This thesis proposes a novel design that exploits the concept of negative capacitance. The new field effect transistor (FET) based on ferroelectric insulator named Silicon-On-Ferroelectric Insulator Field Effect Transistor (SOF-FET). This proposal is a promising methodology for future ultra-lowpower applications, because it demonstrates the ability to replace the silicon-bulk based MOSFET, and offers subthreshold swing significantly lower than 60mV/decade and reduced threshold voltage to form a conducting channel. The SOF-FET can also solve the issue of junction leakage (due to the presence of unipolar junction between the top plate of the negative capacitance and the diffused areas that form the transistor source and drain). In this device the charge hungry ferroelectric film already limits the leakage.Abstract -- List of illustrations - List of tables -- Acknowledgements -- Dedication -- Introduction -- Carbon nanotube field effect transistor -- Multi-gate transistors -FinFET -- Subthreshold swing -- Tunneling field effect transistors -- I-mos and nanowire fets -- Ferroelectric based field effect transistors -- An analytical model to approximate the subthreshold swing for soi-finfet -- Silicon-on-ferroelectric insulator field effect transistor (SOF-FET) -- Current-voltage characteristics of sof-fet -- Advantages, manufacturing process and future work of the proposed device -- Appendix -- Reference

    Quantum and spin-based tunneling devices for memory systems

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    Rapid developments in information technology, such as internet, portable computing, and wireless communication, create a huge demand for fast and reliable ways to store and process information. Thus far, this need has been paralleled with the revolution in solid-state memory technologies. Memory devices, such as SRAM, DRAM, and flash, have been widely used in most electronic products. The primary strategy to keep up the trend is miniaturization. CMOS devices have been scaled down beyond sub-45 nm, the size of only a few atomic layers. Scaling, however, will soon reach the physical limitation of the material and cease to yield the desired enhancement in device performance. In this thesis, an alternative method to scaling is proposed and successfully realized. The proposed scheme integrates quantum devices, Si/SiGe resonant interband tunnel diodes (RITD), with classical CMOS devices forming a microsystem of disparate devices to achieve higher performance as well as higher density. The device/circuit designs, layouts and masks involving 12 levels were fabricated utilizing a process that incorporates nearly a hundred processing steps. Utilizing unique characteristics of each component, a low-power tunneling-based static random access memory (TSRAM) has been demonstrated. The TSRAM cells exhibit bistability operation with a power supply voltage as low as 0.37 V. Various TSRAM cells were also constructed and their latching mechanisms have been extensively investigated. In addition, the operation margins of TSRAM cells are evaluated based on different device structures and temperature variation from room temperature up to 200oC. The versatility of TSRAM is extended beyond the binary system. Using multi-peak Si/SiGe RITD, various multi-valued TSRAM (MV-TSRAM) configurations that can store more than two logic levels per cell are demonstrated. By this virtue, memory density can be substantially increased. Using two novel methods via ambipolar operation and utilization of enable/disable transistors, a six-valued MV-TSRAM cell are demonstrated. A revolutionary novel concept of integrating of Si/SiGe RITD with spin tunnel devices, magnetic tunnel junctions (MTJ), has been developed. This hybrid approach adds non-volatility and multi-valued memory potential as demonstrated by theoretical predictions and simulations. The challenges of physically fabricating these devices have been identified. These include process compatibility and device design. A test bed approach of fabricating RITD-MTJ structures has been developed. In conclusion, this body of work has created a sound foundation for new research frontiers in four different major areas: integrated TSRAM system, MV-TSRAM system, MTJ/RITD-based nonvolatile MRAM, and RITD/CMOS logic circuits

    Digital and analog TFET circuits: Design and benchmark

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    In this work, we investigate by means of simulations the performance of basic digital, analog, and mixed-signal circuits employing tunnel-FETs (TFETs). The analysis reviews and complements our previous papers on these topics. By considering the same devices for all the analysis, we are able to draw consistent conclusions for a wide variety of circuits. A virtual complementary TFET technology consisting of III-V heterojunction nanowires is considered. Technology Computer Aided Design (TCAD) models are calibrated against the results of advanced full-quantum simulation tools and then used to generate look-up-tables suited for circuit simulations. The virtual complementary TFET technology is benchmarked against predictive technology models (PTM) of complementary silicon FinFETs for the 10 nm node over a wide range of supply voltages (VDD) in the sub-threshold voltage domain considering the same footprint between the vertical TFETs and the lateral FinFETs and the same static power. In spite of the asymmetry between p- and n-type transistors, the results show clear advantages of TFET technology over FinFET for VDDlower than 0.4 V. Moreover, we highlight how differences in the I-V characteristics of FinFETs and TFETs suggest to adapt the circuit topologies used to implement basic digital and analog blocks with respect to the most common CMOS solutions

    Enhanced Hardware Security Using Charge-Based Emerging Device Technology

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    The emergence of hardware Trojans has largely reshaped the traditional view that the hardware layer can be blindly trusted. Hardware Trojans, which are often in the form of maliciously inserted circuitry, may impact the original design by data leakage or circuit malfunction. Hardware counterfeiting and IP piracy are another two serious issues costing the US economy more than $200 billion annually. A large amount of research and experimentation has been carried out on the design of these primitives based on the currently prevailing CMOS technology. However, the security provided by these primitives comes at the cost of large overheads mostly in terms of area and power consumption. The development of emerging technologies provides hardware security researchers with opportunities to utilize some of the otherwise unusable properties of emerging technologies in security applications. In this dissertation, we will include the security consideration in the overall performance measurements to fully compare the emerging devices with CMOS technology. The first approach is to leverage two emerging devices (Silicon NanoWire and Graphene SymFET) for hardware security applications. Experimental results indicate that emerging device based solutions can provide high level circuit protection with relatively lower performance overhead compared to conventional CMOS counterpart. The second topic is to construct an energy-efficient DPA-resilient block cipher with ultra low-power Tunnel FET. Current-mode logic is adopted as a circuit-level solution to countermeasure differential power analysis attack, which is mostly used in the cryptographic system. The third investigation targets on potential security vulnerability of foundry insider\u27s attack. Split manufacturing is adopted for the protection on radio-frequency (RF) circuit design

    Sub-10nm Transistors for Low Power Computing: Tunnel FETs and Negative Capacitance FETs

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    One of the major roadblocks in the continued scaling of standard CMOS technology is its alarmingly high leakage power consumption. Although circuit and system level methods can be employed to reduce power, the fundamental limit in the overall energy efficiency of a system is still rooted in the MOSFET operating principle: an injection of thermally distributed carriers, which does not allow subthreshold swing (SS) lower than 60mV/dec at room temperature. Recently, a new class of steep-slope devices like Tunnel FETs (TFETs) and Negative-Capacitance FETs (NCFETs) have garnered intense interest due to their ability to surpass the 60mV/dec limit on SS at room temperature. The focus of this research is on the simulation and design of TFETs and NCFETs for ultra-low power logic and memory applications. Using full band quantum mechanical model within the Non-Equilibrium Greens Function (NEGF) formalism, source-underlapping has been proposed as an effective technique to lower the SS in GaSb-InAs TFETs. Band-tail states, associated with heavy source doping, are shown to significantly degrade the SS in TFETs from their ideal value. To solve this problem, undoped source GaSb-InAs TFET in an i-i-n configuration is proposed. A detailed circuit-to-system level evaluation is performed to investigate the circuit level metrics of the proposed devices. To demonstrate their potential in a memory application, a 4T gain cell (GC) is proposed, which utilizes the low-leakage and enhanced drain capacitance of TFETs to realize a robust and long retention time GC embedded-DRAMs. The device/circuit/system level evaluation of proposed TFETs demonstrates their potential for low power digital applications. The second part of the thesis focuses on the design space exploration of hysteresis-free Negative Capacitance FETs (NCFETs). A cross-architecture analysis using HfZrOx ferroelectric (FE-HZO) integrated on bulk MOSFET, fully-depleted SOI-FETs, and sub-10nm FinFETs shows that FDSOI and FinFET configurations greatly benefit the NCFET performance due to their undoped body and improved gate-control which enables better capacitance matching with the ferroelectric. A low voltage NC-FinFET operating down to 0.25V is predicted using ultra-thin 3nm FE-HZO. Next, we propose one-transistor ferroelectric NOR type (Fe-NOR) non-volatile memory based on HfZrOx ferroelectric FETs (FeFETs). The enhanced drain-channel coupling in ultrashort channel FeFETs is utilized to dynamically modulate memory window of storage cells thereby resulting in simple erase-, program-and read-operations. The simulation analysis predicts sub-1V program/erase voltages in the proposed Fe-NOR memory array and therefore presents a significantly lower power alternative to conventional FeRAM and NOR flash memories

    Digital and analog TFET circuits: Design and benchmark

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    In this work, we investigate by means of simulations the performance of basic digital, analog, and mixed-signal circuits employing tunnel-FETs (TFETs). The analysis reviews and complements our previous papers on these topics. By considering the same devices for all the analysis, we are able to draw consistent conclusions for a wide variety of circuits. A virtual complementary TFET technology consisting of III-V heterojunction nanowires is considered. Technology Computer Aided Design (TCAD) models are calibrated against the results of advanced full-quantum simulation tools and then used to generate look-up-tables suited for circuit simulations. The virtual complementary TFET technology is benchmarked against predictive technology models (PTM) of complementary silicon FinFETs for the 10 nm node over a wide range of supply voltages (VDD) in the sub-threshold voltage domain considering the same footprint between the vertical TFETs and the lateral FinFETs and the same static power. In spite of the asymmetry between p- and n-type transistors, the results show clear advantages of TFET technology over FinFET for VDDlower than 0.4 V. Moreover, we highlight how differences in the I-V characteristics of FinFETs and TFETs suggest to adapt the circuit topologies used to implement basic digital and analog blocks with respect to the most common CMOS solutions

    Low-Power Heterogeneous Graphene Nanoribbon-CMOS Multistate Volatile Memory Circuit

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    Graphene is an emerging nanomaterial believed to be a potential candidate for post-Si nanoelectronics, due to its exotic properties. Recently, a new graphene nanoribbon crossbar (xGNR) device was proposed which exhibits negative differential resistance (NDR). In this paper, a multi-state memory design is presented that can store multiple bits in a single cell enabled by this xGNR device, called Graphene Nanoribbon Tunneling Random Access Memory (GNTRAM). An approach to increase the number of bits per cell is explored alternative to physical scaling to overcome CMOS SRAM limitations. A comprehensive design for quaternary GNTRAM is presented as a baseline, implemented with a heterogeneous integration between graphene and CMOS. Sources of leakage and approaches to mitigate them are investigated. This design is extensively benchmarked against 16nm CMOS SRAMs and 3T DRAM. The proposed quaternary cell shows up to 2.27x density benefit vs. 16nm CMOS SRAMs and 1.8x vs. 3T DRAM. It has comparable read performance and is power-efficient, up to 1.32x during active period and 818x during stand-by against high performance SRAMs. Multi-state GNTRAM has the potential to realize high-density low-power nanoscale embedded memories. Further improvements may be possible by using graphene more extensively, as graphene transistors become available in future

    ๋†’์€ ์ „๋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

    Challenges and Opportunities in Implementing Negative Differential Resistance Mode Reconfigurable Field Effect Transistors

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    Desirably, the world relies on the devices being compact, as they could drive to the increased functionality of integrated circuits at the provided footstep, that is becoming more reliable. To reduce the scalability over the devices, approach has been outlined utilizing the NDR mode reconfigurable functionality over the transistors. Being an individual device efficient in exhibiting different task with the different configurations in the same physical circuitry. On the view of reconfigurable transistors, possibly authorize the reconfiguration from a p-type to n-type channel transistor has been expelled as an emerging application such as static memory cells, fast switching logic circuits as well as energy efficient computational multi valued logic. This article emphasizes NDR mode RFET along with its classification, followed by enhancing the RFET technology concepts and RFETs future potential has been discussed briefing with the growing applications like hardware security as well as neuro-inspired computing.Comment: 28 pages, 9 figure
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