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, ie, "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.
Memristors can be miniaturized much smaller compared to MOSTs and they can also be integrated with MOSTs without much difficulty. These devices are finding applications in memory, logic, neuromorphic, sensors, solar cells and OxRAM, as well as in security.
This book provides theoretical frameworks that include, (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 then focuses on a broad aspect of realization of these applications as low cost and reliable devices.
This is an important reference source that will help materials scientists and engineers who want to understand more about the production and applications of nanoscale memrister devices.
- Outlines the major principles of circuit design for nanoelectronic applications
- Explores major applications, including memristor-based memories, sensors, solar cells, or memristor-based hardware and software security applications
- Assesses the major challenges to manufacturing nanoscale memristor devices at an industrial scale
1. Memristor and Spintronics as Key Technologies for Upcoming Computing Resources
2. Design and investigation of various Memristor Models for Neuromorphic Application
3. Memristor Based Devices For Hardware Security Applications
4. Novel Memristive Physical Unclonable Function
5. Advancement of Neuromorphic Computing Systems with Memristors
6. Memristor Crossbar based Learning Method for Ex-situ Training in Neural Network
7. Design and analysis of CMOS SRAM cell for low power applications
8. Nanoscale Memristive Devices: Threats and Solutions
9. Design of Low-Power SAR ADC for Bio-Medical Applications
10. Techniques for Crossbar Array Read Operation
11. Memristor materials, fabrication and sensing applications
Balwinder Raj is Associate Professor, in the Department. of ECE, NITTTR Chandigarh, India. His research interests are nanoelectronics, nanoscale semiconductor devices, classical/non-classical nanoscale devices modeling (FinFET, nanowire, TFET, CNTFET etc.), ultra-low power VLSI/ULSI design and technology, nanoscale memory design, digital VLSI circuit design, and reconfigurable FPGA implementation. Ahmed Hemani is Professor in electronic systems design at the School of EECS, Royal Institute of Technology, Kista, Sweden. His current research interests are coarse grain reconfigurable architectures and compilers for embedded and high-performance neuromorphic computation, system level design space exploration, and distributed fine grain power management. Abusaleh M Jabir is a University Reader with the School of Engineering, Computing, and Mathematics at Oxford Brookes University, UK. His area of research is in design, tests, and verification of reliable and secure electronic circuits and systems, repairable, fault and error tolerant electronic systems, automatic hardware simulation, synthesis, and optimization, computer architectures, hardware security and unclonable electronic hardware, the emerging technology with special interests in memristors and TFETs. Saurabh Khandelwal is a full time Research Associate with the School of Engineering, Computing and Mathematics, Oxford Brookes University, UK.
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