Author
Listed:
- Zheng Gu
(University of California)
- Mark E. Nowakowski
(University of California)
- David B. Carlton
(Intel Corp.)
- Ralph Storz
(Thorlabs Inc.)
- Mi-Young Im
(Center for X-ray Optics, Lawrence Berkeley National Laboratory
Daegu Gyeongbuk Institute of Science and Technology)
- Jeongmin Hong
(University of California)
- Weilun Chao
(Center for X-ray Optics, Lawrence Berkeley National Laboratory)
- Brian Lambson
(iRunway)
- Patrick Bennett
(University of California)
- Mohmmad T. Alam
(Intel Corp.)
- Matthew A. Marcus
(Advanced Light Source, Lawrence Berkeley National Laboratory)
- Andrew Doran
(Advanced Light Source, Lawrence Berkeley National Laboratory)
- Anthony Young
(Advanced Light Source, Lawrence Berkeley National Laboratory)
- Andreas Scholl
(Advanced Light Source, Lawrence Berkeley National Laboratory)
- Peter Fischer
(Center for X-ray Optics, Lawrence Berkeley National Laboratory
University of California)
- Jeffrey Bokor
(University of California)
Abstract
Energy efficient nanomagnetic logic (NML) computing architectures propagate binary information by relying on dipolar field coupling to reorient closely spaced nanoscale magnets. Signal propagation in nanomagnet chains has been previously characterized by static magnetic imaging experiments; however, the mechanisms that determine the final state and their reproducibility over millions of cycles in high-speed operation have yet to be experimentally investigated. Here we present a study of NML operation in a high-speed regime. We perform direct imaging of digital signal propagation in permalloy nanomagnet chains with varying degrees of shape-engineered biaxial anisotropy using full-field magnetic X-ray transmission microscopy and time-resolved photoemission electron microscopy after applying nanosecond magnetic field pulses. An intrinsic switching time of 100 ps per magnet is observed. These experiments, and accompanying macrospin and micromagnetic simulations, reveal the underlying physics of NML architectures repetitively operated on nanosecond timescales and identify relevant engineering parameters to optimize performance and reliability.
Suggested Citation
Zheng Gu & Mark E. Nowakowski & David B. Carlton & Ralph Storz & Mi-Young Im & Jeongmin Hong & Weilun Chao & Brian Lambson & Patrick Bennett & Mohmmad T. Alam & Matthew A. Marcus & Andrew Doran & Anth, 2015.
"Sub-nanosecond signal propagation in anisotropy-engineered nanomagnetic logic chains,"
Nature Communications, Nature, vol. 6(1), pages 1-8, May.
Handle:
RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms7466
DOI: 10.1038/ncomms7466
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