|Posted: May 30, 2017|
Model for 2-D materials based RRAM found(Nanowerk News) Graphene and related two dimensional (2D) materials have raised massive interest and investment during the last years. However, the amount of 2D-materials-based commercial devices available in the market is still very low.
|The research group led by Dr. Mario Lanza, a Young 1000 Talent Professor born in Barcelona (Spain) and based in Soochow University (China), is leading a global effort to investigate the properties of layered dielectrics.|
|In their recent investigation, published in the journal 2D Materials ("Model for multi-filamentary conduction in graphene/ hexagonal-boron-nitride/ graphene based resistive switching devices"), Prof. Lanza and co-workers synthesized a resistive random access memory (RRAM) using graphene/hexagonal-boron-nitride/graphene (G/h-BN/G) van der Waals structures.|
|This image shows resistive random access memory made of graphene electrodes and hexagonal boron nitride dielectric. (© AIP)|
|Furthermore, they developed a compact model to accurately describe its functioning. The model is based on the nonlinear Landauer approach for mesoscopic conductors, in this case atomic-sized filaments formed within the 2D materials system.|
|Besides providing excellent overall fitting results (which have been corroborated in log-log, log-linear and linear-linear plots), the model is able to explain the dispersion of the data obtained from cycle-to-cycle in terms of the particular features of the filamentary paths, mainly their confinement potential barrier height.|
|The development of theoretical models to describe the functioning of electronic devices is one essential step enabling device/systems simulation, which is essential before device mass production. The device selected in this case, the RRAM device, is the most promising technology for future high-density information storage.|
|Source: Lanza Lab|
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