Analysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavior

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dc.contributor.advisorSpanos, Polen_US
dc.creatorPalm, Elijah Okoeen_US
dc.date.accessioned2023-08-09T18:47:47Zen_US
dc.date.available2023-08-09T18:47:47Zen_US
dc.date.created2023-05en_US
dc.date.issued2023-04-20en_US
dc.date.submittedMay 2023en_US
dc.date.updated2023-08-09T18:47:47Zen_US
dc.description.abstractThis 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.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationPalm, 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>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/115148en_US
dc.language.isoengen_US
dc.rightsCopyright 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.en_US
dc.subjectMemristoren_US
dc.subjectHysteresisen_US
dc.subjectBouc-Wenen_US
dc.subjectBouc-Wen-Baber-Noorien_US
dc.subjectCurrenten_US
dc.subjectVoltageen_US
dc.subjectPhenomenological modelsen_US
dc.subjectphysics-baseden_US
dc.subjectResistive Random Access Memoryen_US
dc.subjectPinched hysteresisen_US
dc.subjectbipolar switchingen_US
dc.subjectasymmetric and symmetric hysteresisen_US
dc.subjectglobal optimizationen_US
dc.subjectpiecewise adaptationen_US
dc.subjectinput voltageen_US
dc.subjectcurrent-controlleden_US
dc.subjectnueromorphic technologiesen_US
dc.subjectneural networksen_US
dc.subjectconductive filamenten_US
dc.subjection transport barrieren_US
dc.subjectlocal joule heatingen_US
dc.subjection transporten_US
dc.subjectdiffusionen_US
dc.subjectLinear Ion Drift Modelen_US
dc.subjectNon-linear Ion Drift Modelen_US
dc.subjectstate variableen_US
dc.subjectstrength degradationen_US
dc.subjectstiffness degradationen_US
dc.subjecthysteric displacementen_US
dc.subjectreinforced concrete structuresen_US
dc.subjectTuned-Mass Damperen_US
dc.subjectvibrationsen_US
dc.subjectgenetic algorithmen_US
dc.subjectPattern-Searchen_US
dc.subjectbilinear optimizationen_US
dc.subjectfilament disruptionen_US
dc.subjectparameter identificationen_US
dc.subjectbipolar triangular waveformen_US
dc.subjectvoltage-controlleden_US
dc.subjectON-Stateen_US
dc.subjectOFF Stateen_US
dc.subjectHigh Resistive Stateen_US
dc.subjectLow Resistive Stateen_US
dc.subjectInverse Memristor Frequency Characteristicsen_US
dc.titleAnalysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavioren_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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