
Nanoelectronics
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Nanoelectronics is an essential resource for anyone looking to stay at the forefront of innovation, as it thoroughly explores cutting-edge methodologies and design principles for ultra-nanoscale technology.
Modern research aims to make devices more efficient so that next-level systems will be energy-efficient, have faster operating speeds, and occupy minimal space. Traditional methods for the implementation of systems are approaching their fundamental limitations. The field of ultra-nanoscale technology is a prime choice for researchers to work and develop technologies for future systems. The advantages of the ultra-nanoscale field are low-dimensional and high-speed implementation with a focus on high levels of functional integration.
Nanoelectronics: Fundamentals, Advances, and Applications comprehensively covers both introductory and advanced-level ideas and methodologies, which support future system designs in ultra-nanoscale technologies. The merits and challenges of different technological devices and systems are also discussed in depth. This book focuses on design and techniques for the next generation of intelligent systems, making it an essential resource for novices and experts exploring this innovative technology.
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Content
Preface xvii
1 Gaussian Doped SOI Junctionless FinFET: A Study of RDF Variability and Parametric Sensitivity 1
Milad Mehmood Zargar, Md. Waseem Akram, Umayia Mushtaq, Nazida Ansari, Sana Fatima and Dipak Kumar Singh
1.1 Introduction 2
1.2 FinFET Technology 4
1.3 Device Variability 6
1.4 Junctionless Transistors 10
1.5 Global TCAD Solutions 18
1.6 Simulation Methodology 21
1.7 Findings and Conversations 22
1.8 Conclusion 37
2 Nanotechnology and Applications 45
Yogesh Singh, Sunny Kumar Sharma, Purnima Hazra and Ashish Choudhary
2.1 Introduction 46
2.2 What Makes Nanotechnology Work 48\
2.3 Preparation Method 50
2.4 Classification of Nanoparticles (NPs) 51
2.5 Applications of Nanotechnology 52
2.6 Future Prospect 59
2.7 Conclusion 60
3 Comparative Investigation of Various SRAM Cells with High Stability and Low Leakage 69
Seema Eram, Umayia Mushtaq, Nazida Ansari and Md. Waseem Akram
3.1 Introduction 70
3.2 Previous Literature 74
3.3 Leakage Reduction Techniques 76
3.4 Architecture and Functioning of Different SRAM Cell 77
3.5 SRAM Cell: Various Performance Parameters 82
3.6 The Proposed 8-T SRAM Cell 86
3.7 Results and Discussion 88
3.8 Conclusion 96
4 Application of Nanotechnology in the Development of Latent Fingerprints in the Field of Forensic Dermatoglyphics 103
Navneet Kumar and Himanshu Yadav
4.1 Introduction 104
4.2 Principle of Fingerprint Detection 105
4.3 Techniques for LFPs Analysis 106
4.4 Nanotechnology in Forensic Science 110
4.5 Discussion 119
4.6 Conclusion 120
5 Nanoelectronics: A Journey from Planar Transistor to Beyond Semiconductor 129
Kajal and Vijay Kumar Sharma
5.1 Introduction 130
5.2 Evolution of Transistor Technology 133
5.3 Advances in Transistor Design 140
5.4 Challenges in Silicon Semiconductor Technology 143
5.5 Beyond Silicon: New Materials and Technologies 148
5.6 Quantum and Molecular Electronics 151
5.7 Advanced Device Concept 152
5.8 Conclusion 155
6 EDP-Efficient Level Shifters for Super Threshold Voltage Level Shifting Applications 165
Mohammed Mahaboob Basha, Gundala Srinivasulu and V. Madhurima
6.1 Introduction 166
6.2 Types of Voltage Level Shifters 169
6.3 Performance Analysis of Start of Art Level Shifters 183
6.4 Conclusion 185
7 Applications of Nanotechnology in Nanoelectronics: Communication and Biomedical Field 191
Rubby Mahajan and Ram Prakash
7.1 Introduction 191
7.2 2D and 3D Materials 192
7.3 Multigates 194
7.4 Carbon Nanotubes 198
7.5 Graphene Nanoribbon (GNRs) 207
7.6 Tunnel Transistor 211
7.7 Junctionless Transistor 213
7.8 Concept of Single Electron Idea 217
7.9 Fundamental Principles of Spintronics 219
7.10 Future Prospects 221
8 Exploring CMOS, PTL and GDI Logic Families Based One Bit Full Adder and Subtractor Circuits in Subthreshold Region for Energy and EDP Efficient Applications 229
Mohammed Mahaboob Basha, P. Lachi Reddy and Srinivasulu Gundala
8.1 Introduction 230
8.2 GDI- and CMOS-Based Logic Circuits 232
8.3 A Variety of Approaches and Operation of the GDI-Based Full Adder Circuits 237
8.4 Subthreshold Subtractor Circuits for Energy Efficient Signal Processing Applications 249
8.5 Conclusion 261
9 TFET Fundamentals: A Gateway to Nanoscale Electronics 267
Khuraijam Nelson Singh, Ningombam Ajit Kumar, Sushmita Dandeliya, Pranab Kishore Dutta, Sonal Agrawal, Anurag Srivastava and Gaurav Kaushal
9.1 Introduction 268
9.2 Fundamentals of TFET 270
9.3 Techniques for Enhancing Performance 276
9.4 Application in Biosensor 280
9.5 Significance of TFET in Advancing Nanoscale Electronics 286
9.6 Challenges and Future Outlook 287
9.7 Conclusion 288
10 Revolutionizing Data Processing: In-Memory Computing and the Shift from Traditional Architectures 297
Nazrana Gulzar, Nazida Ansari, Umayia Mushtaq and Md Waseem Akram
10.1 Introduction 298
10.2 In-Memory Computing: Enhancing Data Processing Efficiency 302
10.3 Comparing Traditional Computing Architecture with In-Memory Computing 303
10.4 Applications of IMC 305
10.5 Types of Memory Used in IMC 307
10.6 Operations of 6T-SRAM 311
10.7 Architecture of SRAM-Based IMC 313
10.8 Comparative Analysis of IMC Architecture Using Different Memory Types 314
10.9 Design Challenges with SRAM Based IMC 325
10.10 Conclusion 329
11 The Tunnel FET: Fundamentals, Calibration, and Simulation 333
Nisha Yadav, Sunil Jadav and Gaurav Saini
11.1 Need of Tunnel FETs 334
11.2 Origin of Tunnel FETs 336
11.3 TFET Structure and Working Principle 336
11.4 Performance Parameters 340
11.5 The Development of TFET Technology 342
11.6 Calibration 349
11.7 Simulation of DG-TFET 350
11.8 Challenges for TFET 353
11.9 Conclusion 354
12 The Junctionless Device 363
Sandeep Kumar, Arun Kumar Chatterjee and Rishikesh Pandey
12.1 Introduction 363
12.2 Qualitative Behavior of JLFETs 366
12.3 Electrical Characteristics of JLFET 374
12.4 Design Constraints for Junctionless Devices 375
12.5 Classification of JLFETs 378
12.6 Status of Model Formulation for JLFETs 384
12.7 Applications of JLFETs 385
12.8 Simulation of JLFETs 386
12.9 Conclusion 390
13 Tuning the Electronic and Spintronic Properties of BN Nanoribbons via C-Doping 395
Ajay Kumar Rakesh, Ravindra Kumar, Ankita Nemu, Neha Tyagi, Anil Govindan and Neeraj K. Jaiswal
13.1 Introduction 396
13.2 Significance of Boron Nitride Nanoribbons 399
13.3 Techniques for Synthesis of h-BN 400
13.4 Synthesis of BNNR 404
13.5 Edge Passivation of BNNR 405
13.6 Doping of BNNR 406
13.7 Computational Details 407
13.8 Results and Discussion 409
13.10 Summary 418
14 Revolutionizing Information Processing: Unveiling the Potential of Spintronics through Cutting-Edge Electron Spin Research 429
R. Bhattacharya
14.1 Introduction 430
14.2 Understanding Spintronics: Types 430
14.3 Spintronic Materials and Devices 431
14.4 Manipulating Spin-Orbit Coupling 445
14.5 Spin Transport and Injection 447
14.6 Spintronic Memory Devices 455
14.7 Challenges and Future Directions 460
14.8 Mathematical Consideration of Spintronics 465
14.9 Conclusions 469
15 Trade-Offs in the Ultra-Nanoscale: Balancing Performance and Constraints 475
Pankaj Bhambri and Alex Khang
15.1 Introduction 476
15.2 Overview of Ultra-Nanoscale Design 477
15.3 Performance Optimization in Ultra-Nanoscale Applications 481
15.4 Nanomaterials in Ultra-Nanoscale Technologies 485
15.5 Design Techniques with Logical Schematics and Characteristics 489
15.6 Complex Limitations in the Ultra-Nanoscale Realm 490
15.7 Manufacturing Challenges and Solutions 494
15.8 Ethical Considerations in Ultra-Nanoscale Technologies 497
15.9 Real-World Case Studies and Examples 498
15.10 Conclusion 501
16 Carbon Nanotube Field Effect Transistor Technology: Fundamentals & Applications 509
Ekta Jolly and Vijay Kumar Sharma
16.1 Introduction 510
16.2 CNT Fundamentals 510
16.3 CNTFET Modeling Approaches 515
16.4 CNTFET-Based Circuits 519
16.5 Conclusion 535
References 535
Index 541
1
Gaussian Doped SOI Junctionless FinFET: A Study of RDF Variability and Parametric Sensitivity
Milad Mehmood Zargar1, Md. Waseem Akram1, Umayia Mushtaq1*, Nazida Ansari1, Sana Fatima1 and Dipak Kumar Singh2
1Dept. of E & C, Jamia Millia Islamia, New Delhi, India
2Dept. of ECE, National Institute of Technology Patna, Patna, India
Abstract
The advent of modern-day technology has brought with itself a plethora of design problems. The charming attributes of MOS technology are proving to be ephemeral as the chip makers of present day are over obsessed with the objective of scaling. This has unveiled the shortcomings and limitations of the conventional inversion mode devices, which has compelled designers to contemplate sophisticated technologies. Among the ultra-modern devices that have divulged in recent past include neoteric yet virgin technology, junctionless transistors, which has paved the way for simpler fabrication processes. Lesser design complexity, low thermal budget, lack of junctions to avoid formation of abrupt P-N junctions are some of the appealing features of this novel device. Regardless of the unique characteristics of this device, it has to be investigated against various effects including variability, before fabrication on a large scale. As such, this work deals with the functioning of the device when there is a variation in the dopant atoms' number and location. This type of variability, also called as random dopant fluctuation (RDF), is a significant source of unpredictability in the current environment. Since RDF largely effects these devices, our prior concern was to develop a distinctive doping pattern in these devices, so that the effective degenerative effect of RDF is reduced. The doping scheme suggested in this work corresponds to Gaussian doping profile with a pattern that decreases in the vertical direction throughout source, channel and drain. Some important work has been done in this regard, but this work as the name suggests provides a detailed variability analysis of junctionless transistors by varying channel length, fin height, fin width, doping concentration, and standard deviations of the doping concentration, which has not been done till date. The findings are shown as ON-state current, OFF-state current, subthreshold slope, threshold voltage, and drain-induced barrier lowering standard deviations. The results clearly demonstrate that SOI Junctionless FinFETs with non-uniform doping profiles show enhanced performance compared to devices with uniform doping configurations. This work also presents the preferable parameter selection for better performance of non-uniformly doped SOI Junctionless FinFET and also gives the prediction for effects of change in device parameters while scaling below 10 nm.
Keywords: RDF, SOI, FinFET, junctionless transistor, variability
1.1 Introduction
The advent of modern-day technology has brought with itself a plethora of design problems. The charming attributes of MOS technology are proving to be ephemeral as the chip makers of present day are over gripped with the objective of scaling. This has unveiled the short comings and limitations of the conventional inversion mode devices, which has compelled designers to contemplate sophisticated technologies. Among the ultra-modern devices that have divulged in recent past include neoteric yet virgin technology, Junctionless transistors [1-9], which has paved the way for simpler fabrication processes. Lesser design complexity, low thermal budget, lack of junctions to avoid formation of abrupt P-N junctions are some of the appealing features of this novel device. The Junctionless transistor technology is sprouting in the semiconductor globe, because of its undeniable advantages in the sub 20nm regime. Regardless of the unique characteristics of this device, it has to be examined against various effects including variability, before fabrication on a large-scale. This work explores the operation of the device under varying quantities and locations of dopant atoms. This source of variability is referred to as RDF, or random dopant fluctuation, and is a significant cause of unpredictability in present day [10-15]. Since RDF largely affects these devices, our prior concern was to develop a distinctive doping pattern in these devices, so that the effective degenerative effect of RDF is reduced. The doping scheme suggested in this work corresponds to Gaussian doping profile with a pattern that decreases in the vertical direction throughout source, channel and drain.
Some important work has been done in this regard. It is shown that improved electrical characteristics and enhanced statistical variability can be achieved by the proper doping profile in "non-uniformly" doped bulk "Junctionless (JL)-FinFET" [16] as well as in bulk JL-FinFETs evenly doped [17]. The benefits of a non-uniformly doped "JL-FinFET" structure over a uniformly doped one are demonstrated by the authors in reference [18]. Chen et al. [19] discuss when channel thickness is decreased below 10nm, and then variation in thickness plays a significant role in threshold voltage variation. Also, a brief comparison of Junctionless FinFET with that of conventional FinFET is shown in Nawaz et al. [20]. The study conducted by the authors in Oproglidis et al. [21] employed a "symmetric" and "continuous compact" model to investigate the local-variability of drain current in triple-gate JL-FinFETs. In view of improved results, Junctionless transistors, with non-uniform and uniform and doping profiles have been widely investigated for applications in both analog and digital domains [5, 11, 18, 22-25].
Kaundal et al. and Mondal et al. [5, 7] have discussed benefits of irregularly doped SOI Junctionless FinFETs over the uniformly doped SOI Junctionless FinFETs in details. However, this is without variability discussions. Kaundal and Rana [11] have discussed variability analysis of SOI Junctionless FinFETs featuring profiles of both non-uniform and uniform doping in details for the fixed device parameters. Singh et al. [16] have demonstrated that "non-uniformly" doped "Bulk JL-FinFET" has better variability characteristics than "uniformly doped" "Bulk JL-FinFET" and work has been done recently so as to show better enactment of an uneven manner doped Bulk JL-FinFET.
This work, as the name suggests provides a detailed variability analysis of SOI Junctionless FinFETs (SOI-JL-FinFETs) by varying channel length, fin width, fin height, doping concentration and Gaussian RMS width, which has not been done till date and is the extended work with respect to Kaundal and Rana [11]. This thorough analysis of Junctionless transistors will provide a clearer picture of the device. These varying parameters will provide configurations in which these devices can shine to their utmost potential. This paper proposes the difficulties other than SCE's that can be faced while scaling the devices. It also suggests the trends for present day 7 nm technological node as well. FinFET structure has been used as the base structure to carry out the simulations in this work because of better gate control and its resistance to various sources of variability in the sub-threshold region, such as "line-edge-roughness" (LER) and metal-grain-granularity (MGG) [26-28].
The designs were executed utilizing the Global TCAD Solutions (GTS) [29] to study the degeneration effect of RDF on uniformly and non-uniformly doped Junctionless transistors.
The paper is organized as follows: Section 1.2 provides an overview of the importance of FinFET technology and its applications brief importance of FinFET technology and its application, Device Variability is discussed in detail in Section 1.3. The working of Junctionless Transistor is presents in detail in Section 1.4, Section 1.5 discusses the use of Global TCAD solutions for the implementation of the proposed concept. The Section 1.6 discusses simulation methodology of the proposed designs and the variability analysis of different designs for different performance parameters is discussed in section 1.7. Finally, Section 1.8 presents the conclusion.
1.2 FinFET Technology
We are familiar with the operation of a standard MOSFET, where energizing the gate electrode generates an electric-field, forming a conductive path by inverting the channel from source-to-drain. With a reduction in channel length, the gate's control over the channel weakens, which degrades the overall performance of the transistor. The FinFET (also known as tri-gate) is fashioned to deliver this executional shortcoming by covering the gate electrode about the channel rather than letting it lie on top of channel as in case of the standard transistor. The FinFET architecture uses a narrow silicon fin for the channel, with the gate electrode wrapping around three of its sides, while the source and drain regions are not covered by the gate. The high k dielectric oxide covers the channel on all three sides.
The benefit of this 3D non-planar structure is that it provides a better command of gate electrode over the channel. It provides better resilience to short channel effects [30]. The energized gate electrode now has superior command over the channel because of the...
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