Investigating the Polarity Dependence of Multilevel Cell Operation in Conventional Mushroom Phase-Change Memory Cells

physica status solidi (RRL) – Rapid Research Letters(2023)

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摘要
Phase-change materials have long been employed for rewriteable optical data storage at the industrial scale and are hailed as one of the most mature technologies for their applications in emerging nonvolatile memories. Memristors based on these materials have the potential to circumvent the long-standing von Neumann bottleneck and offer significant computational advantage through neuromorphic computing. A very core fundamental concept that lies at the crux for such realization is their ability to offer multilevel cell (MLC) storage, in contrast to the binary counterpart. Yet, numerous challenges still remain to be tackled for their successful implementation in this regard. This work is a finite element analysis that particularly reports the polarity dependence of such MLC operation in the conventional mushroom geometry of devices employing this technology. The mechanism lying underneath is discussed and a perspective combining thermoelectric effects with the energy band diagrams resulting from metal-semiconductor contact formation is additionally put forth. In this computational work, the bias dependence of multilevel cell operation in conventional mushroom phase-change memory cells is reported. An introduction to phase-change materials is provided first, followed by a detailed study on how thermoelectric effects govern the polarity dependence of gradual RESET, thereby highlighting an interesting challenge for their application as computational memory.image (c) 2023 WILEY-VCH GmbH
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关键词
emerging nonvolatile memory,finite element modeling,multilevel cell operations,neuromorphic computing,phase-change memory,thermoelectric effects
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