journal article·2011-10-25

Graphene Flash Memory

Augustin J. Hong, Emil B. Song, Hyung Suk Yu, Matthew J. Allen, Jiyoung Kim, Jesse D. Fowler, Jonathan K. Wassei, Youngju Park, Yong Wang, Jin Zou, Richard B. Kaner, Bruce H. Weiller, Kang L. Wang

ACS Nano· Volume 5· Issue 10
Publisher page

Abstract

Graphene's single atomic layer of sp(2) carbon has recently garnered much attention for its potential use in electronic applications. Here, we report a memory application for graphene, which we call graphene flash memory (GFM). GFM has the potential to exceed the performance of current flash memory technology by utilizing the intrinsic properties of graphene, such as high density of states, high work function, and low dimensionality. To this end, we have grown large-area graphene sheets by chemical vapor deposition and integrated them into a floating gate structure. GFM displays a wide memory window of ∼6 V at significantly low program/erase voltages of ±7 V. GFM also shows a long retention time of more than 10 years at room temperature. Additionally, simulations suggest that GFM suffers very little from cell-to-cell interference, potentially enabling scaling down far beyond current state-of-the-art flash memory devices.
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Research context

OpenAlex topics: Graphene research and applications · Advanced Memory and Neural Computing · Semiconductor materials and devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

IBM T. J. Watson Research Center, Yorktown Heights, New York 10598, United States

The Department of Electrical Engineering, The Department of Materials Science & Engineering, and The Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, United States

Micro/Nano Technology Department, Space Materials Laboratory, The Aerospace Corporation, Los Angeles, California 90009, United States

Device Solutions Business, Samsung Electronics Co., Korea

Materials Engineering and Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, St Lucia, Queensland 4072, Australia.

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