Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Memristors"”.
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MEMRISTORS AND NETWORKS: NEW STRUCTURES FOR COMPLEXITY
… i) the introduction of a configuration of two memristors in antiparallel which has been used as the fundamental block to design a gallery of autonomous and non-autonomous nonlinear circuits exhibiting a rich dynamics, including chaos; ii) the design of a hybrid circuit which takes from the …
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Exploring Spin-transfer-torque devices and memristors for logic and memory applications
<p>As scaling CMOS devices is approaching its physical limits, researchers have begun exploring newer devices and architectures to replace CMOS.</p> <p>Due to their non-volatility and high density, Spin Transfer Torque (STT) devices are among the most prominent candidates for logic and memory …
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Powering Next-Generation Artificial Intelligence by Designing Three-dimensional High-Performance Neuromorphic Computing System with Memristors
… artificial intelligence is explored by utilizing memristors to design a three-dimensional high-performance neuromorphic computing system. The low-variation memristors (fabricated by Virginia Tech) reduce the learning accuracy of the system significantly through adding heat dissipation layers. …
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INVESTIGATIONS OF OXIDE AND SULFIDE BASED LOW DIMENSIONAL NANO STRUCTURES FOR CONDUCTOMETRIC GAS SENSORS, MEMRISTORS AND PHOTODETECTORS
Low dimensional semiconductors are promising materials with diverse range of applications in a variety of fields. Specifically, in recent times low dimensional oxide and sulfide based semiconductors are regarded as materials that can have potential applications in chemical gas sensor, …
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Memristor-Based Computing Architecture with Advanced Signal Processing Capabilities
… investigates analogue applications of memristors, particularly in image processing, combining them with conventional electronic circuitry. The concept of memristor (short for memory resistor) was first theorised in 1971 by Prof. Chua while reasoning on the theoretical grounds of of the …
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Monte Carlo Simulations on Resistive Switching Memristor Modeling
… scalability have put resistive switching memristors in the spotlight of research. This thesis presents a numerical method to determine the variability in switching that different memristors exhibit. Current-voltage relationships and cyclic voltage sweeps are gathered from specific …
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Protonic All-Solid-State Electrochemical Device as an Artificial Synapse for CMOS-Compatible Neuromorphic Computing
… brain, neuromorphic computing using non-volatile memristors has been proposed as a novel computing hardware to enable an energy-efficient computing.[3,4] This thesis contributes to develop a highly energy efficient and CMOS-compatible protonic electrochemical artificial synapse employing the …
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Tailoring Li₄Ti₅O₁₂ Thin Film Carrier Kinetics Through Solid Solution Doping for Battery and Memristor Applications
… sensors, flexible batteries, IoT devices, and memristors. Across these, precise control of mixed Li⁺ ionic–electronic transport is vital. While dopants have been shown to improve electron conduction and Li⁺ diffusion in LTO4 powders, thin-film studies remain limited. To bridge this gap, we …
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Memristive devices and circuits for computing, memory, and neuromorphic applications.
… therein. A background chapter revolving around memristors and memristive devices is given. A system overview links the two parts together. A brief description of the two parts is as follows: Part I—modelling and fabrication is relevant to modelling and fabrication of memristors. A basic …
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Enabling Energy-Efficient Hybrid CMOS and Embedded Memory Accelerators for Neuromorphic Computing at the Edge
… computing-in-memory (CIM) architectures using memristors, which combine storage and computation to reduce data movement. While memristors offer density, low power, and nonvolatility, challenges such as resistance variation degrade inference accuracy. To mitigate this, novel two-layer memristor …
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Nonlinear ion transport at high electric currents in shock electrodialysis and ion-intercalation memories
… switching (RS) memories (including two-terminal memristors and three-terminal synaptic transistors) with multiple, nonvolatile states tunable by electric fields are promising for in-memory computing. In recent years, ion intercalation materials have attracted increasing attention for RS because …
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Design, Analysis and Testing of Efficient Memristive Neural Networks
… chip area and complex structures. Thus, memristors have appeared as promising devices not only in the area of neural systems but also in the elds of logic design, memory design, sensor and cryptography systems, etc. due to their non-volatility, nanoscale size and physical layout. We …
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Memristor-based AI Hardware for Reliable and Reconfigurable Neuromorphic Computing
… This thesis examines alloyed metal-based silicon memristors and stackable neuromorphic chips with heterogeneous integration for reliable and reconfigurable neuromorphic computing.
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Analysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavior
… predicting the current-voltage outputs within memristors, and a new phenomenological model is presented that incorporates the modified Bouc-Wen-Baber-Noori model, a nonlinear geometric-based equation, and bilinear optimization to predict the response of a memristive system. The potency of the …
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Developing digital and analog spiking neural Networks for interacting with biological Tissues in the Case Study of temporal lobe Epilepsy
… (SNN) using CMOS integrated circuits (ICs) with memristors to demonstrate its potential for pattern recognition tasks. To facilitate the implementation of the SNN, memristors were chosen as synaptic components due to their emerging properties and potential benefits in memory calculation …
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Physical Realizations of Memory Capacitive Systems
… properties of memory circuit elements, namely memristors (memory resistors), memcapacitors (memory capacitors) and meminductors (memory inductors). Then, two possible physical realizations of memcapacitors are proposed.</p><p>The first of the suggested realizations is a solid-state memory …
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Spiking Neural Network with Memristive Based Computing-In-Memory Circuits and Architecture
… hardware. A particular eNVM technology, memristors, have received wide attention due to their scalability, compatibility with CMOS technology and low power consumption properties. In this work we develop a spiking neural network by incorporating an inter-spike interval encoding scheme to …
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Memristive tunnel junctions
… junctions fit in the recently emerged field of memristors and memristive systems. We describe how this 'hot topic' emerged from the combination of two research fields and take a step further by including magnetic systems. The somewhat illustrative data presented in this chapter has been chosen …
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Atomic Layer Deposition of Vanadium Dioxide: Synthesis, Doping, and Device Applications
… computing architectures such as oscillators and memristors. The pressing issue of integrating VO₂ into the existent semiconductor device fabrication process is the synthesis of VO₂ thin films onto amorphous substrates. This thesis presents the research that aims to synthesize VO₂ thin films by …
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Nanoscale device engineering and plasmon-enhanced light – matter interactions for the characterization of 2D materials
… of the switching mechanism in nanoscale h-BN memristors, which are promising as foundational components for logic-in-memory computing systems. Therefore, this PhD thesis introduces nano-techniques for characterizing 2D materials, yielding insights into their electrical behaviour. These …
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