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Spanos, Pol Palm, Elijah Okoe 2023-08-09T18:47:47Z 2023-08-09T18:47:47Z 2023-05 2023-04-20 May 2023 2023-08-09T18:47:47Z Palm, Elijah Okoe. "Analysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavior." (2023) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/115148">https://hdl.handle.net/1911/115148</a>. https://hdl.handle.net/1911/115148 This thesis proposes a novel model that accurately captures the asymmetric hysteretic behavior of memristive devices exhibiting self-crossing hysteresis loops. The proposed model combines the Bouc-Wen Baber-Noori model with other non-linear elements in the resistive switching process. Existing models for memristive behavior, including physical-based memristive models, phenomenological-based models, and models that employ stochastic techniques, are reviewed. The Bouc-Wen model is significant for 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 proposed model is demonstrated by a dynamic simulation of a memristor system in relation to an integrated circuit system. The proposed model provides reliable predictions of the hysteretic behavior of memristive devices, enabling their efficient use in future computing applications. The thesis provides insights into the development of accurate and efficient models for the hysteretic behavior of memristive devices, which will facilitate their widespread use in various engineering applications. application/pdf eng Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. Memristor Hysteresis Bouc-Wen Bouc-Wen-Baber-Noori Current Voltage Phenomenological models physics-based Resistive Random Access Memory Pinched hysteresis bipolar switching asymmetric and symmetric hysteresis global optimization piecewise adaptation input voltage current-controlled nueromorphic technologies neural networks conductive filament ion transport barrier local joule heating ion transport diffusion Linear Ion Drift Model Non-linear Ion Drift Model state variable strength degradation stiffness degradation hysteric displacement reinforced concrete structures Tuned-Mass Damper vibrations genetic algorithm Pattern-Search bilinear optimization filament disruption parameter identification bipolar triangular waveform voltage-controlled ON-State OFF State High Resistive State Low Resistive State Inverse Memristor Frequency Characteristics Analysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavior Thesis Text Mechanical Engineering Engineering Rice University Masters Master of Science open.access