328 research outputs found

    CMOS array design automation techniques

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    A low cost, quick turnaround technique for generating custom metal oxide semiconductor arrays using the standard cell approach was developed, implemented, tested and validated. Basic cell design topology and guidelines are defined based on an extensive analysis that includes circuit, layout, process, array topology and required performance considerations particularly high circuit speed

    Solid State Circuits Technologies

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    The evolution of solid-state circuit technology has a long history within a relatively short period of time. This technology has lead to the modern information society that connects us and tools, a large market, and many types of products and applications. The solid-state circuit technology continuously evolves via breakthroughs and improvements every year. This book is devoted to review and present novel approaches for some of the main issues involved in this exciting and vigorous technology. The book is composed of 22 chapters, written by authors coming from 30 different institutions located in 12 different countries throughout the Americas, Asia and Europe. Thus, reflecting the wide international contribution to the book. The broad range of subjects presented in the book offers a general overview of the main issues in modern solid-state circuit technology. Furthermore, the book offers an in depth analysis on specific subjects for specialists. We believe the book is of great scientific and educational value for many readers. I am profoundly indebted to the support provided by all of those involved in the work. First and foremost I would like to acknowledge and thank the authors who worked hard and generously agreed to share their results and knowledge. Second I would like to express my gratitude to the Intech team that invited me to edit the book and give me their full support and a fruitful experience while working together to combine this book

    Advanced information processing system for advanced launch system: Hardware technology survey and projections

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    The major goals of this effort are as follows: (1) to examine technology insertion options to optimize Advanced Information Processing System (AIPS) performance in the Advanced Launch System (ALS) environment; (2) to examine the AIPS concepts to ensure that valuable new technologies are not excluded from the AIPS/ALS implementations; (3) to examine advanced microprocessors applicable to AIPS/ALS, (4) to examine radiation hardening technologies applicable to AIPS/ALS; (5) to reach conclusions on AIPS hardware building blocks implementation technologies; and (6) reach conclusions on appropriate architectural improvements. The hardware building blocks are the Fault-Tolerant Processor, the Input/Output Sequencers (IOS), and the Intercomputer Interface Sequencers (ICIS)

    Delay Extraction Based Equivalent Elmore Model For RLC On-Chip Interconnects

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    As feature sizes for VLSI technology is shrinking, associated with higher operating frequency, signal integrity analysis of on-chip interconnects has become a real challenge for circuit designers. For this purpose, computer-aided-design (CAD) tools are necessary to simulate signal propagation of on-chip interconnects which has been an active area for research. Although SPICE models exist which can accurately predict signal degradation of interconnects, they are computationally expensive. As a result, more effective and analytic models for interconnects are required to capture the response at the output of high speed VLSI circuits. This thesis contributes to the development of efficient and closed form solution models for signal integrity analysis of on-chip interconnects. The proposed model uses a delay extraction algorithm to improve the accuracy of two-pole Elmore based models used in the analysis of on-chip distributed RLC interconnects. In the proposed scheme, the time of fight signal delay is extracted without increasing the number of poles or affecting the stability of the transfer function. This algorithm is used for both unit step and ramp inputs. From the delay rational approximation of the transfer function, analytic fitted expressions are obtained for the 50% delay and rise time for unit step input. The proposed algorithm is tested on point to point interconnections and tree structure networks. Numerical examples illustrate improved 50% delay and rise time estimates when compared to traditional Elmore based two-pole models

    Design of variability compensation architectures of digital circuits with adaptive body bias

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    The most critical concern in circuit is to achieve high level of performance with very tight power constraint. As the high performance circuits moved beyond 45nm technology one of the major issues is the parameter variation i.e. deviation in process, temperature and voltage (PVT) values from nominal specifications. A key process parameter subject to variation is the transistor threshold voltage (Vth) which impacts two important parameters: frequency and leakage power. Although the degradation can be compensated by the worstcase scenario based over-design approach, it induces remarkable power and performance overhead which is undesirable in tightly constrained designs. Dynamic voltage scaling (DVS) is a more power efficient approach, however its coarse granularity implies difficulty in handling fine grained variations. These factors have contributed to the growing interest in power aware robust circuit design. We propose a variability compensation architecture with adaptive body bias, for low power applications using 28nm FDSOI technology. The basic approach is based on a dynamic prediction and prevention of possible circuit timing errors. In our proposal we are using a Canary logic technique that enables the typical-case design. The body bias generation is based on a DLL type method which uses an external reference generator and voltage controlled delay line (VCDL) to generate the forward body bias (FBB) control signals. The adaptive technique is used for dynamic detection and correction of path failures in digital designs due to PVT variations. Instead of tuning the supply voltage, the key idea of the design approach is to tune the body bias voltage bymonitoring the error rate during operation. The FBB increases operating speed with an overhead in leakage power

    Fast simulation of networks-on-chip with priority-preemptive arbitration

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    An increasingly time-consuming part of the design flow of on-chip multiprocessors is the simulation of the interconnect architecture. The accurate simulation of state-of-the art network-on-chip interconnects can take hours, and this process is repeated for each design iteration because it provides valuable insights on communication latencies that can greatly affect the overall performance of the system. In this article, we identify a time-predictable network-on-chip architecture and show that its timing behaviour can be predicted using models which are far less complex than the architecture itself. We then explore such a feature to produce simplified and lightweight simulation models that can produce latency figures with more than 90% accuracy and simulate more than 1,000 times faster when compared to a cycle-accurate model of the same interconnect

    ์ฐจ์„ธ๋Œ€ ๋ฐ˜๋„์ฒด ๋ฐฐ์„ ์„ ์œ„ํ•œ ์ฝ”๋ฐœํŠธ ํ•ฉ๊ธˆ ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ์žฌ๋ฃŒ ์„ค๊ณ„ ๋ฐ ์ „๊ธฐ์  ์‹ ๋ขฐ์„ฑ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์žฌ๋ฃŒ๊ณตํ•™๋ถ€, 2022.2. ์ฃผ์˜์ฐฝ.Recently, the resistance-capacitance (RC) delay of the Cu interconnects in metal 1 (M1) level has been increased rapidly due to the reduction of the interconnect linewidth along with the transistor scaling down, and the interconnect reliability becomes a severe issue again. In order to overcome interconnect performance problems and move forward to the next-generation interconnects system, study on low resistivity (ฯo) and low electron mean free path (ฮป) metals was conducted. Generally, metals such as Cobalt (Co), Ruthenium (Ru), and Molybdenum (Mo) are mentioned as candidates for next-generation interconnect materials, and since they have a low ฯo ร— ฮป value, it is expected that the influence of interface scatterings and surface scattering can be minimized. However, harsh operating environments such as high electric fields, critical Joule heating, and reduction of the pitch size are severely deteriorating the performance of electronic devices as well as device reliability. For example, since time dependent dielectric breakdown (TDDB) problems for next-generation interconnect system have been reported recently, it is necessary to study alternative barrier materials and processes to improve the interconnect reliability. Specifically, extrinsic dielectric breakdown due to penetration of Co metal ions in high electric fields has been reported as a reliability problem to be solved in Co interconnect systems. Therefore, there is a need for new material system design and research on a robust diffusion barrier that prevents metal ions from penetrating into the dielectric, thereby improving the reliability of Co interconnects. Moreover, in order to lower the resistance of the interconnect, it is necessary to develop an ultra-thin barrier. This is because even a barrier with good reliability characteristics will degrade chip performance if it takes up a lot of volume in the interconnect. The recommended thickness for a single diffusion barrier layer is currently reported to be less than 2.5 nm. As a result, it is essential to develop materials that comprehensively consider performance and reliability. In this study, we designed a Co alloy self-forming barrier (SFB) material that can make sure of low resistance and high reliability for Co interconnects, which is attracting attention as a next-generation interconnect system. The self-forming barrier methodology induces diffusion of an alloy dopant at the interface between the metal and the dielectric during the annealing process. And the diffused dopant reacts with the dielectric to form an ultra-thin diffusion barrier. Through this methodology, it is possible to improve reliability by preventing the movement of metal ions. First of all, material design rules were established to screen the appropriate alloy dopants and all CMOS-compatible metals were investigated. Dopant resistivity, intermetallic compound formation, solubility in Co, activity coefficient in Co, and oxidation tendency is considered as the criteria for the dopant to escape from the Co matrix and react at the Co/SiO2 interface. In addition, thermodynamic calculations were performed to predict which phases would be formed after the annealing process. Based on thermodynamic calculations, 5 dopant metals were selected, prioritized for self-forming behavior. And the self-forming material was finally selected through thin film and device analysis. We confirmed that Cr, Zn, and Mn out-diffused to the surface of the thin film structure using X-ray photoelectron spectroscopy (XPS) depth profile and investigated the chemical state of out-diffused dopants through the analysis of a binding energy. Cr shows the most ideal self-forming behavior with the SiO2 dielectric and reacted with oxygen to form a Cr2O3 barrier. In metal-insulator-semiconductor (MIS) structure, out-diffused Cr reacts with SiO2 at the interface and forms a self-formed single layer. It was confirmed that the thickness of the diffusion barrier layer is about 1.2 nm, which is an ultra-thin layer capable of minimizing the total effective resistance. Through voltage-ramping dielectric breakdown (VRDB) tests, Co-Cr alloy showed highest breakdown voltage (VBD) up to 200 % than pure Co. The effect of Cr doping concentration and heat treatment condition applicable to the interconnect process was confirmed. When Cr was doped less than 1 at%, the robust electrical reliability was exhibited. Also, it was found that a Cr2O3 interfacial layer was formed when annealing process was performed at 250 ยฐC or higher for 30 minutes or longer. In other words, Co-Cr alloy is well suited for the interconnect process because current interconnect process temperature is below 400 ยฐC. And when the film thickness was lowered from 150 nm to 20 nm, excellent VBD values were confirmed even at high Cr doping concentration (~7.5 at%). It seems that the amount of Cr present at the Co/SiO2 interface plays a very important role in improving the Cr oxide SFB quality. Physical modeling is necessary to understand the amount of Cr at the interface according to the interconnect volumes and the reliability of the Cr oxide self-forming barrier. TDDB lifetime test also performed and Co-Cr alloy interconnect shows a highly reliable diffusion barrier property of self-formed interfacial layer. The DFT analysis also confirmed that Cr2O3 is a very promising barrier material because it showed a higher energy barrier value than the TiN diffusion barrier currently being studied. A Co-based self-forming barrier was designed through thermodynamic calculations that take performance and reliability into account in interconnect material system. A Co interconnect system with an ultra-thin Cr2O3 diffusion barrier with excellent reliability is proposed. Through this design, it is expected that high-performance interconnects based on robust reliability in the advanced interconnect can be implemented in the near future.์ตœ๊ทผ ๋ฐ˜๋„์ฒด ์†Œ์ž ์Šค์ผ€์ผ๋ง์— ๋”ฐ๋ฅธ ๋ฐฐ์„  ์„ ํญ ๊ฐ์†Œ๋กœ M0, M1์˜์—ญ์—์„œ์˜ metal ๋น„์ €ํ•ญ์ด ๊ธ‰๊ฒฉํžˆ ์ฆ๊ฐ€ํ•˜์—ฌ ๋ฐฐ์„ ์—์„œ์˜ RC delay๊ฐ€ ๋‹ค์‹œ ํ•œ๋ฒˆ ํฌ๊ฒŒ ๋ฌธ์ œ๊ฐ€ ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ฐจ์„ธ๋Œ€ ๋ฐฐ์„  ์‹œ์Šคํ…œ์—์„œ๋Š” ๋‚ฎ์€ ๋น„์ €ํ•ญ๊ณผ electron mean free path (EMFP)์„ ๊ฐ€์ง€๋Š” ๋ฌผ์งˆ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋˜์—ˆ๋‹ค. ๋Œ€ํ‘œ์ ์œผ๋กœ Co, Ru, Mo์™€ ๊ฐ™์€ ๊ธˆ์†๋“ค์ด ์ฐจ์„ธ๋Œ€ ๋ฐฐ์„  ์žฌ๋ฃŒ ํ›„๋ณด๋กœ ์–ธ๊ธ‰๋˜๊ณ  ์žˆ์œผ๋ฉฐ ๋‚ฎ์€ ฯ0 ร— ฮป ๊ฐ’์„ ๊ฐ–๊ธฐ ๋•Œ๋ฌธ์— interface (surface) scattering๊ณผ grain boundary scattering ์˜ํ–ฅ์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๋ณด๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ๊ฐ€ํ˜นํ•œ electrical field์™€ ๋†’์€ Joule heating์ด ๋ฐœ์ƒํ•˜๋Š” ๋™์ž‘ ํ™˜๊ฒฝ์œผ๋กœ ์ธํ•ด performance๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์†Œ์ž ์‹ ๋ขฐ์„ฑ์ด ๋” ์—ด์•…ํ•œ ์ƒํ™ฉ์— ๋†“์—ฌ์žˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด ์ฐจ์„ธ๋Œ€ ๊ธˆ์†์— ๋Œ€ํ•œ time dependent dielectric breakdown (TDDB) ์‹ ๋ขฐ์„ฑ ๋ฌธ์ œ๊ฐ€ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ด๋ฅผ ๋ณด์•ˆํ•  ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๋ฌผ์งˆ ๋ฐ ๊ณต์ •์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ํŠนํžˆ ๋†’์€ ์ „๊ธฐ์žฅ์—์„œ Co ion์ด ์œ ์ „์ฒด๋กœ ์นจํˆฌํ•˜์—ฌ extrinsic dielectric breakdown ์‹ ๋ขฐ์„ฑ ๋ฌธ์ œ๊ฐ€ ์ตœ๊ทผ ๋ณด๊ณ ๋˜๊ณ  ์žˆ๋‹ค. ๋”ฐ๋ผ์„œ ๊ธˆ์† ์ด์˜จ์ด ์œ ์ „์ฒด ๋‚ด๋ถ€๋กœ ์นจํˆฌํ•˜๋Š” ๊ฒƒ์„ ๋ฐฉ์ง€ํ•˜์—ฌ, Co ๋ฐฐ์„ ์˜ ์‹ ๋ขฐ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ๊ฒฌ๊ณ ํ•œ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๊ฐœ๋ฐœ ๋ฐ ์ƒˆ๋กœ์šด ๋ฐฐ์„  ์‹œ์Šคํ…œ ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•œ ์‹œ์ ์ด๋‹ค. ๋˜ํ•œ, ๋ฐฐ์„  ์ €ํ•ญ์„ ๋‚ฎ์ถ”๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋งค์šฐ ์–‡์€ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค. ์‹ ๋ขฐ์„ฑ์ด ์ข‹์€ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์ด๋ผ๋„ ๋ฐฐ์„ ์—์„œ ๋งŽ์€ ์˜์—ญ์„ ์ฐจ์ง€ํ•  ๊ฒฝ์šฐ ์ „์ฒด ์„ฑ๋Šฅ์ด ์ €ํ•˜๋˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. Cu ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์œผ๋กœ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” TaN ์ธต์€ 2.5 nm ๋ณด๋‹ค ์–‡์„ ๊ฒฝ์šฐ ์‹ ๋ขฐ์„ฑ์ด ๊ธ‰๊ฒฉํžˆ ๋‚˜๋น ์ง€๋ฏ€๋กœ 2.5 nm๋ณด๋‹ค ์–‡์€ ๋‘๊ป˜์˜ ๊ฒฌ๊ณ ํ•œ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๊ฐœ๋ฐœ์ด ํ•„์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฐจ์„ธ๋Œ€ ๋ฐ˜๋„์ฒด ๋ฐฐ์„  ๋ฌผ์งˆ๋กœ ์ฃผ๋ชฉ๋ฐ›๊ณ  ์žˆ๋Š” Co ๊ธˆ์†์— ๋Œ€ํ•˜์—ฌ ์ €์ €ํ•ญยท๊ณ ์‹ ๋ขฐ์„ฑ์„ ํ™•๋ณดํ•  ์ˆ˜ ์žˆ๋Š” Co alloy ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ (Co alloy self-forming barrier, SFB) ์†Œ์žฌ ๋””์ž์ธํ•˜์˜€๋‹ค. ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๋ฐฉ๋ฒ•๋ก ์€ ์—ด์ฒ˜๋ฆฌ ๊ณผ์ •์—์„œ ๊ธˆ์†๊ณผ ์œ ์ „์ฒด ๊ณ„๋ฉด์—์„œ ๋„ํŽ€ํŠธ๊ฐ€ ํ™•์‚ฐํ•˜๊ฒŒ ๋œ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ํ™•์‚ฐ๋˜๋‹ˆ ๋„ํŽ€ํŠธ๋Š” ์–‡์€ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์„ ํ˜•์„ฑํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์ด๋‹ค. ์ด ๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ๊ธˆ์† ์ด์˜จ์˜ ์ด๋™์„ ๋ฐฉ์ง€ํ•˜์—ฌ Co ๋ฐฐ์„  ์‹ ๋ขฐ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ์˜ˆ์ƒํ•˜์˜€๋‹ค. ์šฐ์„ , Co ํ•ฉ๊ธˆ์ƒ์—์„œ ์ ์ ˆํ•œ ๋„ํŽ€ํŠธ๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•ด์„œ CMOS ๊ณต์ •์— ์ ์šฉ ๊ฐ€๋Šฅํ•œ ๊ธˆ์†๋“ค์„ ์„ ๋ณ„ํ•˜์˜€๋‹ค. ๋„ํŽ€ํŠธ ์ €ํ•ญ, ๊ธˆ์†๊ฐ„ ํ™”ํ•ฉ๋ฌผ ํ˜•์„ฑ ์—ฌ๋ถ€, Co๋‚ด ๊ณ ์šฉ๋„, Co alloy์—์„œ์˜ ํ™œ์„ฑ๊ณ„์ˆ˜, ์‚ฐํ™”๋„, Co/SiO2 ๊ณ„๋ฉด์—์„œ์˜ ์•ˆ์ •์ƒ์„ ์—ด์—ญํ•™์  ๊ณ„์‚ฐ์„ ํ†ตํ•ด์„œ ๋ฌผ์งˆ ์„ ์ • ๊ธฐ์ค€์œผ๋กœ ์„ธ์› ๋‹ค. ์—ด์—ญํ•™์  ๊ณ„์‚ฐ์„ ๊ธฐ๋ฐ˜์œผ๋กœ 9๊ฐœ์˜ ๋„ํŽ€ํŠธ ๊ธˆ์†์ด ์„ ํƒ๋˜์—ˆ์œผ๋ฉฐ, Co ํ•ฉ๊ธˆ ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๊ธฐ์ค€์— ๋”ฐ๋ผ์„œ ์šฐ์„  ์ˆœ์œ„๋ฅผ ์ง€์ •ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ตœ์ข…์ ์œผ๋กœ ๋ฐ•๋ง‰๊ณผ ์†Œ์ž ์‹ ๋ขฐ์„ฑ ํ‰๊ฐ€๋ฅผ ํ†ตํ•ด์„œ ๊ฐ€์žฅ ์ ํ•ฉํ•œ ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰ ๋ฌผ์งˆ์„ ์„ ์ •ํ•˜์˜€๋‹ค. X-ray photoelectron spectroscopy (XPS) ๋ถ„์„์„ ์ด์šฉํ•˜์—ฌ Cr, Zn, Mn์ด ๋ฐ•๋ง‰ ๊ตฌ์กฐ์˜ ํ‘œ๋ฉด์œผ๋กœ ์™ธ๋ถ€ ํ™•์‚ฐ ์—ฌ๋ถ€๋ฅผ ํ™•์ธํ•˜๊ณ  ๊ฒฐํ•ฉ ์—๋„ˆ์ง€ ๋ถ„์„์„ ํ†ตํ•ด ์™ธ๋ถ€๋กœ ํ™•์‚ฐ๋œ ๋„ํŽ€ํŠธ์˜ ํ™”ํ•™์  ์ƒํƒœ๋ฅผ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ Cr, Zn, Mn์ด ์œ ์ „์ฒด ๊ณ„๋ฉด์œผ๋กœ ํ™•์‚ฐ๋˜์–ด ์‚ฐ์†Œ์™€ ๋ฐ˜์‘ํ•˜์—ฌoxide/silicate ํ™•์‚ฐ ๋ฐฉ์ง€๋ง‰ (e.g. Cr2O3, Zn2SiO4, MnSiO3)์„ ํ˜•์„ฑํ•œ ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๊ทธ ์ค‘ Cr์€ SiO2 ์œ ์ „์ฒด์™€ ํ•จ๊ป˜ ๊ฐ€์žฅ ์ด์ƒ์ ์ธ ์ž๊ธฐ ํ˜•์„ฑ ๊ฑฐ๋™์„ ๋‚˜ํƒ€๋‚ด๋ฉฐ ์‚ฐ์†Œ์™€ ๋ฐ˜์‘ํ•˜์—ฌ Cr2O3 ์ธต์„ ํ˜•์„ฑํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. MIS (Metal-Insulator-Semiconductor) ๊ตฌ์กฐ์—์„œ๋„ ์™ธ๋ถ€๋กœ ํ™•์‚ฐ๋œ Cr์€ ๊ณ„๋ฉด์—์„œ SiO2์™€ ๋ฐ˜์‘ํ•˜์—ฌ Cr2O3 ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์ด ํ˜•์„ฑ๋˜์—ˆ๋‹ค. ํ™•์‚ฐ๋ฐฉ์ง€์ธต์˜ ๋‘๊ป˜๋Š” ์•ฝ 1.2nm๋กœ ์ „์ฒด ์œ ํšจ์ €ํ•ญ์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํžˆ ์–‡์€ ๋‘๊ป˜๋ฅผ ํ™•๋ณดํ•˜์˜€๋‹ค. VRDB (Voltage-Ramping Dielectric Breakdown) ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด Co-Cr ํ•ฉ๊ธˆ์€ ์ˆœ์ˆ˜ Co๋ณด๋‹ค ์ตœ๋Œ€ 200% ๋†’์€ ํ•ญ๋ณต ์ „์•• (breakdown voltage)์„ ๋ณด์˜€๋‹ค. ๋ฐ˜๋„์ฒด ๋ฐฐ์„  ๊ณต์ •์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” Cr ๋„ํ•‘ ๋†๋„์™€ ์—ด์ฒ˜๋ฆฌ ์กฐ๊ฑด์˜ ์˜ํ–ฅ์„ ํ™•์ธํ•˜์˜€๋‹ค. Cr์ด 1at% ๋ฏธ๋งŒ์œผ๋กœ ๋„ํ•‘๋˜์—ˆ์„ ๋•Œ ์šฐ์ˆ˜ํ•œ ์ „๊ธฐ์  ์‹ ๋ขฐ์„ฑ์„ ๋‚˜ํƒ€๋‚ด์—ˆ๋‹ค. ๋˜ํ•œ, 250โ„ƒ ์ด์ƒ์—์„œ 30๋ถ„ ์ด์ƒ ์—ด์ฒ˜๋ฆฌ๋ฅผ ํ•˜์˜€์„ ๋•Œ Cr2O3 ๊ณ„๋ฉด์ธต์ด ํ˜•์„ฑ๋จ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ฆ‰, ํ˜„์žฌ ๋ฐฐ์„  ๊ณต์ • ์˜จ๋„๊ฐ€ 400ยฐC ๋ฏธ๋งŒ์ด๊ธฐ ๋•Œ๋ฌธ์— Co-Cr ํ•ฉ๊ธˆ์ด ๋ฐฐ์„  ๊ณต์ •์— ์ ์šฉ ๊ฐ€๋Šฅํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. TDDB ์ˆ˜๋ช… ํ…Œ์ŠคํŠธ๋„ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ Co-Cr ํ•ฉ๊ธˆ ๋ฐฐ์„ ์€ ์ž์ฒด ํ˜•์„ฑ๋œ ๊ณ„๋ฉด์ธต์˜ ๋งค์šฐ ์•ˆ์ •์ ์ธ ํ™•์‚ฐ ์žฅ๋ฒฝ ํŠน์„ฑ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. DFT ๋ถ„์„์€ Cr2O3์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์ด ํ˜„์žฌ ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ๋Š” TiN ํ™•์‚ฐ ์žฅ๋ฒฝ๋ณด๋‹ค ๋” ๋†’์€ ์—๋„ˆ์ง€ ์žฅ๋ฒฝ ๊ฐ’์„ ๋ณด์—ฌ์ฃผ๊ธฐ ๋•Œ๋ฌธ์— ๋งค์šฐ ์œ ๋งํ•œ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์ž„์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฐ˜๋„์ฑ„ ๋ฐฐ์„  ๋ฌผ์งˆ ์‹œ์Šคํ…œ์—์„œ ์„ฑ๋Šฅ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ๊ณ ๋ คํ•œ ์—ด์—ญํ•™์  ๊ณ„์‚ฐ์„ ํ†ตํ•ด Co ๊ธฐ๋ฐ˜ ์ž๊ฐ€ํ˜•์„ฑ ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์„ ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์‹คํ—˜ ๊ฒฐ๊ณผ ์‹ ๋ขฐ์„ฑ์ด ์šฐ์ˆ˜ํ•˜๊ณ  ์•„์ฃผ ์–‡์€ Cr2O3 ํ™•์‚ฐ๋ฐฉ์ง€๋ง‰์ด ์žˆ๋Š” Co-Cr ํ•ฉ๊ธˆ์ด ์ œ์•ˆํ•˜์˜€๋‹ค. ๋ฌผ์งˆ ์„ค๊ณ„์™€ ์ „๊ธฐ์  ์‹ ๋ขฐ์„ฑ ๊ฒ€์ฆ์„ Co/Cr2O3/SiO2 ๋ฌผ์งˆ ์‹œ์Šคํ…œ์„ ์ œ์•ˆํ•˜์˜€๊ณ  ์•ž์œผ๋กœ์˜ ๋‹ค๊ฐ€์˜ฌ ์ฐจ์„ธ๋Œ€ ๋ฐฐ์„ ์—์„œ ๊ตฌํ˜„๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.Abstract i Table of Contents v List of Tables ix List of Figures xii Chapter 1. Introduction 1 1.1. Scaling down of VLSI systems 1 1.2. Driving force of interconnect system evolution 7 1.3. Driving force of beyond Cu interconnects 11 1.4. Objective of the thesis 18 1.5. Organization of the thesis 21 Chapter 2. Theoretical Background 22 2.1. Evolution of interconnect systems 22 2.1.1. Cu/barrier/low-k interconnect system 22 2.1.2. Process developments for interconnect reliability 27 2.1.3. 3rd generation of interconnect system 31 2.2 Thermodynamic tools for Co self-forming barrier 42 2.2.1 Binary phase diagram 42 2.2.2 Ellingham diagram 42 2.2.3 Activity coefficient 43 2.3. Reliability of Interconnects 45 2.3.1. Current conduction mechanisms in dielectrics 45 2.3.2. Reliability test vehicles 50 2.3.3. Dielectric breakdown assessment 52 2.3.4. Dielectric breakdown mechanisms 55 2.3.5. Reliability test: VRDB and TDDB 56 2.3.6. Lifetime models 57 Chapter 3. Experimental Procedures 60 3.1. Thin film deposition 60 3.1.1. Substrate preparation 60 3.1.2. Oxidation 61 3.1.3. Co alloy deposition using DC magnetron sputtering 61 3.1.4. Annealing process 65 3.2. Thin film characterization 67 3.2.1. Sheet resistance 67 3.2.2. X-ray photoelectron spectroscopy (XPS) 68 3.3. Metal-Insulator-Semiconductor (MIS) device fabrication 70 3.3.1. Patterning using lift-off process 70 3.3.2. TDDB packaging 72 3.4. Reliability analysis 74 3.4.1. Electrical reliability analysis 74 3.4.2. Transmission electron microscopy (TEM) analysis 75 3.5. Computation 76 3.5.1 FactsageTM calculation 76 3.5.2. Density Functional Theory (DFT) calculation 77 Chapter 4. Co Alloy Design for Advanced Interconnects 78 4.1. Material design of Co alloy self-forming barrier 78 4.1.1. Rule of thumb of Co-X alloy 78 4.1.2. Co alloy phase 80 4.1.3. Out-diffusion stage 81 4.1.4. Reaction step with SiO2 dielectric 89 4.1.5. Comparison criteria 94 4.2. Comparison of Co alloy candidates 97 4.2.1. Thin film resistivity evaluation 97 4.2.2. Self-forming behavior using XPS depth profile analysis 102 4.2.3. MIS device reliability test 110 4.3 Summary 115 Chapter 5. Co-Cr Alloy Interconnect with Robust Self-Forming Barrier 117 5.1. Compatibility of Co-Cr alloy SFB process 117 5.1.1. Effect of Cr doping concentration 117 5.1.2. Annealing process condition optimization 119 5.2. Reliability of Co-Cr interconnects 122 5.2.1. VRDB quality test with Co-Cr alloys 122 5.2.2. Lifetime evaluation using TDDB method 141 5.2.3. Barrier mechanism using DFT 142 5.3. Summary 145 Chapter 6. Conclusion 148 6.1. Summary of results 148 6.2. Research perspectives 150 References 151 Abstract (In Korean) 166 Curriculum Vitae 169๋ฐ•

    Product assurance technology for custom LSI/VLSI electronics

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    The technology for obtaining custom integrated circuits from CMOS-bulk silicon foundries using a universal set of layout rules is presented. The technical efforts were guided by the requirement to develop a 3 micron CMOS test chip for the Combined Release and Radiation Effects Satellite (CRRES). This chip contains both analog and digital circuits. The development employed all the elements required to obtain custom circuits from silicon foundries, including circuit design, foundry interfacing, circuit test, and circuit qualification
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