Nanoscale Memristor Device and Circuits Design

Häftad, Engelska, 2023

Av Raj,Balwinde, Balwinder Raj, Ahmed Hemani, Abusaleh M. Jabir, Saurabh Khandelwal, India) Raj, Balwinder (Department of Electronics and Communication Engineering, NITTTR Chandigarh, Chandigarh, Sweden) Hemani, Ahmed (Professor in electronic systems design, School of EECS, Royal Institute of Technology, Kista, UK.) Jabir, Abusaleh M. (University Reader with the School of Engineering, Computing, and Mathematics at Oxford Brookes University, UK.) Khandelwal, Saurabh (Full time Research Associate with the School of Engineering, Computing and Mathematics, Oxford Brookes University

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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.

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

Produktinformation

Utgivningsdatum2023-11-10
Mått191 x 235 x 14 mm
Vikt530 g
FormatHäftad
SpråkEngelska
SerieMicro and Nano Technologies
Antal sidor252
FörlagElsevier Science
ISBN9780323907934

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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 electroniccircuits and systems, repairable, fault and error tolerant electronic systems, automatic hardware simulation, synthesis, and optimization, computer architectures, hardware security and unclonable electronic hardware, the emergingtechnology 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.

1. Memristor and Spintronics as Key Technologies for Upcoming Computing Resources2. Design and investigation of various Memristor Models for Neuromorphic Application3. Memristor Based Devices For Hardware Security Applications4. Novel Memristive Physical Unclonable Function5. Advancement of Neuromorphic Computing Systems with Memristors6. Memristor Crossbar based Learning Method for Ex-situ Training in Neural Network7. Design and analysis of CMOS SRAM cell for low power applications8. Nanoscale Memristive Devices: Threats and Solutions9. Design of Low-Power SAR ADC for Bio-Medical Applications 10. Techniques for Crossbar Array Read Operation11. Memristor materials, fabrication and sensing applications