Details
Poster
Presenter(s)
Display Name
Jason Eshraghian
- Affiliation
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AffiliationUniversity of Michigan
- Country
Abstract
While plenty of empirical and physically descriptive RRAM models exist, their simulation run times become inconvenient for users when employed in large scale crossbar arrays. In this paper, we present a behavioral model of digital resistive switching devices, demonstrated on experimental PCRAM data which can see useful implementation in circuit analysis methods for compute-in-memory applications. This model is based on a pair of nonlinear ordinary differential equations that request switching time and threshold voltage inputs from the user, which are the most important parameters for system level design.