| Description |
1 online resource (254 p.). |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Micro and Nano Technologies. |
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Micro & nano technologies.
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| Contents |
Intro -- Nanoscale Memristor Device and Circuits Design -- Copyright -- Contents -- Contributors -- Preface -- Acknowledgments -- Chapter 1: Memristor and spintronics as key technologies for upcoming computing resources -- 1.1. End of Moores law -- 1.2. Life beyond Moores law: Multifunctional devices -- 1.2.1. Features, strengths, and properties of multifunctional devices -- 1.2.2. Components and devices -- 1.2.2.1. Memristors -- 1.2.2.2. Memristor-based neuromorphic computing -- 1.2.2.3. Spintronics -- 1.2.2.4. Spintronics-based neuromorphic computing |
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1.3. Materials for memristors and spintronics -- 1.3.1. Materials for memristors -- 1.3.2. Materials for spintronics -- 1.4. Future prospects based on memristors and spintronics -- 1.5. Challenges -- 1.6. Summary -- References -- Chapter 2: Design and investigation of various memristor models for neuromorphic applications -- 2.1. Introduction -- 2.2. Literature review -- 2.2.1. Nonlinear ionic drift model (Biolek model) -- 2.2.2. Simmons TB (tunnel barrier) model -- 2.2.3. Neuron biological model -- 2.2.4. Neuron classical model -- 2.2.5. Training algorithm flow diagram of Memristive perceptron |
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2.2.5.1. The algorithm of the training can be shown as steps, as follows: -- 2.2.5.2. Training procedure algorithm -- 2.2.5.3. Finalize values -- 2.2.6. Wide range of possible future memristor applications -- 2.2.7. Neuromorphic applications of memristors -- 2.2.7.1. Mathematics and physics-inspired circuits -- 2.2.7.2. Biological neuromorphic inspired course -- 2.3. Future work -- 2.4. Conclusion -- References -- Chapter 3: Memristor-based devices for hardware security applications -- Summary -- 3.1. Introduction -- 3.2. An overview of hardware security -- 3.3. Issues with counterfeited ICs |
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3.3.1. Physical unclonable functions (PUFs): A solution for counterfeited ICs -- 3.4. Nanoelectronic devices and their characteristics -- 3.5. Memristors -- 3.5.1. Theory -- 3.5.2. Device structure -- 3.5.3. Operation -- 3.5.4. Derivation of memristance -- 3.5.5. Write time -- 3.5.6. Basic characteristics of memristors -- 3.6. Prevention of side-channel attacks using memristors -- 3.7. Memristor-based physical unclonable functions (MemPUFs) -- 3.7.1. Architecture of MemPUFs -- 3.7.2. Operation -- 3.7.3. Security analysis -- 3.7.4. CMOS-based PUFs |
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3.7.5. Advantages over CMOS/CMOS equivalent PUFs -- 3.8. Memristor-based public physical unclonable functions (MemPPUFs) -- 3.9. Architecture of MemPPUFs -- 3.9.1. Operation -- 3.9.2. Security analysis -- 3.9.3. CMOS-based PPUFs -- 3.9.4. Advantages over CMOS-based PPUFs -- 3.10. Memristor-based tamper detection circuits (MemTDCs) -- 3.11. Architecture -- 3.11.1. Operation -- 3.11.2. Security analysis -- 3.11.3. CMOS-based tamper detection circuits -- 3.11.4. Advantages over CMOS-based tamper detection circuits -- 3.12. Memristor-based random bit generators (MemRBGs) -- 3.12.1. Architecture |
| Note |
3.12.2. Operation |
| Subject |
Memristors.
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Nanoelectromechanical systems.
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Memristances.
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Nanosystèmes électromécaniques.
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| Added Author |
Hemani, Ahmed.
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Jabir, Abusaleh M.
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Khandelwal, Saurabh.
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| Other Form: |
Print version: Raj, Balwinder Nanoscale Memristor Device and Circuits Design San Diego : Elsevier,c2023 9780323907934 |
| ISBN |
9780323998116 electronic book |
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0323998119 electronic book |
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9780323907934 |
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0323907938 |
| Standard No. |
AU@ 000076053477 |
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