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

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dc.contributor.advisorSpanos, Pol
dc.creatorPalm, Elijah Okoe
dc.date.accessioned2023-08-09T18:47:47Z
dc.date.available2023-08-09T18:47:47Z
dc.date.created2023-05
dc.date.issued2023-04-20
dc.date.submittedMay 2023
dc.date.updated2023-08-09T18:47:47Z
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.
dc.format.mimetypeapplication/pdf
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>.
dc.identifier.urihttps://hdl.handle.net/1911/115148
dc.language.isoeng
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.
dc.subjectMemristor
dc.subjectHysteresis
dc.subjectBouc-Wen
dc.subjectBouc-Wen-Baber-Noori
dc.subjectCurrent
dc.subjectVoltage
dc.subjectPhenomenological models
dc.subjectphysics-based
dc.subjectResistive Random Access Memory
dc.subjectPinched hysteresis
dc.subjectbipolar switching
dc.subjectasymmetric and symmetric hysteresis
dc.subjectglobal optimization
dc.subjectpiecewise adaptation
dc.subjectinput voltage
dc.subjectcurrent-controlled
dc.subjectnueromorphic technologies
dc.subjectneural networks
dc.subjectconductive filament
dc.subjection transport barrier
dc.subjectlocal joule heating
dc.subjection transport
dc.subjectdiffusion
dc.subjectLinear Ion Drift Model
dc.subjectNon-linear Ion Drift Model
dc.subjectstate variable
dc.subjectstrength degradation
dc.subjectstiffness degradation
dc.subjecthysteric displacement
dc.subjectreinforced concrete structures
dc.subjectTuned-Mass Damper
dc.subjectvibrations
dc.subjectgenetic algorithm
dc.subjectPattern-Search
dc.subjectbilinear optimization
dc.subjectfilament disruption
dc.subjectparameter identification
dc.subjectbipolar triangular waveform
dc.subjectvoltage-controlled
dc.subjectON-State
dc.subjectOFF State
dc.subjectHigh Resistive State
dc.subjectLow Resistive State
dc.subjectInverse Memristor Frequency Characteristics
dc.titleAnalysis of Memristor Hysteretic Systems: A Hybrid Coupled Model with emphasis on Pinching/Degrading Behavior
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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