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A chiral-based magnetic memory device without a permanent magnet

Open access
Dor, Oren Ben, Yochelis, Shira, Mathew, Shinto P., Naaman, Ron, Paltiel, Yossi·2013·Nature Communications

Abstract

Several technologies are currently in use for computer memory devices. However, there is a need for a universal memory device that has high density, high speed and low power requirements. To this end, various types of magnetic-based technologies with a permanent magnet have been proposed. Recent charge-transfer studies indicate that chiral molecules act as an efficient spin filter. Here we utilize this effect to achieve a proof of concept for a new type of chiral-based magnetic-based Si-compatible universal memory device without a permanent magnet. More specifically, we use spin-selective charge transfer through a self-assembled monolayer of polyalanine to magnetize a Ni layer. This magnitude of magnetization corresponds to applying an external magnetic field of 0.4 T to the Ni layer. The readout is achieved using low currents. The presented technology has the potential to overcome the limitations of other magnetic-based memory technologies to allow fabricating inexpensive, high-density universal memory-on-chip devices.

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Metadata

Authors
Dor, O. B., Yochelis, S., Mathew, S. P., Naaman, R., & Paltiel, Y.
Venue
Nature Communications
Published
2013-08-06
Volume
4
Issue
1
Pages
2256-2256
ISSN
2041-1723 (ISSN-L)
OpenAlex
W1978286637
Cited by
199
References
0
FWCI
4.80
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: A chiral-based magnetic memory device without a permanent magnet. https://app.cochat.ai/papers/10.1038/ncomms3256
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Dor, O. B., Yochelis, S., Mathew, S. P., Naaman, R., & Paltiel, Y. (2013). A chiral-based magnetic memory device without a permanent magnet. Nature Communications. https://doi.org/10.1038/ncomms3256

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.