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A kilobyte rewritable atomic memory

Open access
Kalff, F. E., Rebergen, M. P., Fahrenfort, E., Girovsky, J., Toskovic, R., Lado, J. L., Fernández-Rossier, J., Otte, A. F.·2016·Nature Nanotechnology

Abstract

The advent of devices based on single dopants, such as the single-atom transistor, the single-spin magnetometer and the single-atom memory, has motivated the quest for strategies that permit the control of matter with atomic precision. Manipulation of individual atoms by low-temperature scanning tunnelling microscopy provides ways to store data in atoms, encoded either into their charge state, magnetization state or lattice position. A clear challenge now is the controlled integration of these individual functional atoms into extended, scalable atomic circuits. Here, we present a robust digital atomic-scale memory of up to 1 kilobyte (8,000 bits) using an array of individual surface vacancies in a chlorine-terminated Cu(100) surface. The memory can be read and rewritten automatically by means of atomic-scale markers and offers an areal density of 502 terabits per square inch, outperforming state-of-the-art hard disk drives by three orders of magnitude. Furthermore, the chlorine vacancies are found to be stable at temperatures up to 77 K, offering the potential for expanding large-scale atomic assembly towards ambient conditions.

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Crossref · 10.1038/nnano.2016.131

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Metadata

Authors
Kalff, F. E., Rebergen, M. P., Fahrenfort, E., Girovsky, J., Toskovic, R., Lado, J. L., Fernández-Rossier, J., & Otte, A. F.
Venue
Nature Nanotechnology
Published
2016-07-18
Volume
11
Issue
11
Pages
926-929
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2340878645
Cited by
169
References
4
FWCI
11.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A kilobyte rewritable atomic memory. https://app.cochat.ai/papers/10.1038/nnano.2016.131
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Kalff, F. E., Rebergen, M. P., Fahrenfort, E., Girovsky, J., Toskovic, R., Lado, J. L., Fernández-Rossier, J., & Otte, A. F. (2016). A kilobyte rewritable atomic memory. Nature Nanotechnology. https://doi.org/10.1038/nnano.2016.131

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