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Главная » Фотоальбом » Мои статьи » Lapshinsky V.А. Emerging ReRAM for fog computing and IoT: materials and structural options taxonomy
The emergence of resistive random-access memory (ReRAM) die and fog computing plus Internet-of-things (IoT) has given rise to the need of developing memristive memory elements structure and material conductance mechanisms taxonomy for ReRAM. In this article, we review those aspects, including nanoparticles (metallic, bimetallic, etc.), graphene and other carbon-based materials and structures and related 2-D materials. The corresponding taxonomies presented in this paper, which can help to find new materials, optimal values of technological parameters, optimize the structure and maximize the efficiency ReRAM for emerging applications.
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