Analysis and parameter extraction of memristive structures based on Strukov’s non-linear model
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Semiconductors"
DOI: 10.1088/1674-4926/39/12/124009
Abstract: Diverse models have been proposed for explaining the electrical performance of memristive devices. In principle, the behavior of internal variables associated to each one could be extracted from experimental results. In a former work, thermally… read more here.
Keywords: linear model; parameter extraction; non linear; analysis parameter ... See more keywords
Organismic Memristive Structures With Variable Functionality for Neuroelectronics
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.913618
Abstract: In this paper, we report an approach to design nanolayered memristive compositions based on TiO2/Al2O3 bilayer structures with analog non-volatile and volatile tuning of the resistance. The structure of the TiO2 layer drives the physical… read more here.
Keywords: functionality neuroelectronics; organismic memristive; resistance; structures variable ... See more keywords
Approaches for Memristive Structures Using Scratching Probe Nanolithography: Towards Neuromorphic Applications
Sign Up to like & getrecommendations! Published in 2023 at "Nanomaterials"
DOI: 10.3390/nano13101583
Abstract: This paper proposes two different approaches to studying resistive switching of oxide thin films using scratching probe nanolithography of atomic force microscopy (AFM). These approaches allow us to assess the effects of memristor size and… read more here.
Keywords: probe nanolithography; using scratching; scratching probe; memristive structures ... See more keywords