Nanoscale Memristor Device and Circuits Design provides theoretical frameworks, including (i) the background of memristors, (ii) physics of memristor and their modeling, (iii) menristive device applications, and (iv) circuit design for security and authentication. The book focuses on a broad aspect of realization of these applications as low cost and reliable devices. This is an important reference that will help materials scientists and engineers understand the production and applications of nanoscale memrister devices. A memristor is a two-terminal memory nanoscale device that stores information in terms of high/low resistance. It can retain information even when the power source is removed, i.e., "non-volatile."
In contrast to MOS Transistors (MOST), which are the building blocks of all modern mobile and computing devices, memristors are relatively immune to radiation, as well as parasitic effects, such as capacitance, and can be much more reliable. This is extremely attractive for critical safety applications, such as nuclear and aerospace, where radiation can cause failure in MOST-based systems.
1. Nanoscale Memristor Device and Circuits Design - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Instructions for online access - p. iv 7. Disclaimer - p. iv 8. Contributors - p. xi 9. Preface - p. xiii 10. Acknowledgments - p. xv 11. Chapter 1 Memristor and spintronics as key technologies for upcoming computing resources - p. 1 12. Chapter 2 Design and investigation of various memristor models for neuromorphic applications - p. 21 13. Chapter 3 Memristor-based devices for hardware security applications - p. 39 14. Chapter 4 Novel memristive physical unclonable function - p. 59 15. Chapter 5 Memristor crossbar-based learning method for ex situ training in neural networks - p. 91 16. Chapter 6 Design and simulation of low-power CMOS SRAM cells - p. 111 17. Chapter 7 Nanoscale memristive devices: Threats and solutions - p. 137 18. Chapter 8 Design of low-power SAR ADCs for biomedical applications - p. 165 19. Chapter 9 Techniques for crossbar array read operation☆ - p. 181 20. Chapter 10 Memristor materials, fabrication, and sensing applications - p. 209 21. Index - p. 229
Nanoscale Memristor Device and Circuits Design provides theoretical frameworks, including (i) the background of memristors, (ii) physics of memristor and their modeling, (iii) menristive device applications, and (iv) circuit design for security and authentication. The book focuses on a broad aspect of realization of these applications as low cost and reliable devices. This is an important reference that will help materials scientists and engineers understand the production and applications of nanoscale memrister devices. A memristor is a two-terminal memory nanoscale device that stores information in terms of high/low resistance. It can retain information even when the power source is removed, i.e., "non-volatile."
In contrast to MOS Transistors (MOST), which are the building blocks of all modern mobile and computing devices, memristors are relatively immune to radiation, as well as parasitic effects, such as capacitance, and can be much more reliable. This is extremely attractive for critical safety applications, such as nuclear and aerospace, where radiation can cause failure in MOST-based systems.
1. Nanoscale Memristor Device and Circuits Design - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. iv 6. Instructions for online access - p. iv 7. Disclaimer - p. iv 8. Contributors - p. xi 9. Preface - p. xiii 10. Acknowledgments - p. xv 11. Chapter 1 Memristor and spintronics as key technologies for upcoming computing resources - p. 1 12. Chapter 2 Design and investigation of various memristor models for neuromorphic applications - p. 21 13. Chapter 3 Memristor-based devices for hardware security applications - p. 39 14. Chapter 4 Novel memristive physical unclonable function - p. 59 15. Chapter 5 Memristor crossbar-based learning method for ex situ training in neural networks - p. 91 16. Chapter 6 Design and simulation of low-power CMOS SRAM cells - p. 111 17. Chapter 7 Nanoscale memristive devices: Threats and solutions - p. 137 18. Chapter 8 Design of low-power SAR ADCs for biomedical applications - p. 165 19. Chapter 9 Techniques for crossbar array read operation☆ - p. 181 20. Chapter 10 Memristor materials, fabrication, and sensing applications - p. 209 21. Index - p. 229
