Proposal for an all-spin logic device with built-in memory.
By B. Behin-Aein, D. Datta, Sayeef Salahuddin, Supriyo Datta. Nature Nanotechnology, 2010
718 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/25f65f2243e441322a09242f400911402d278771
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In Atomic and Molecular Physics, and Optics
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In Electrical and Electronic Engineering
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Citations in the corpus
- Overview of Beyond-CMOS Devices and a Uniform Methodology for Their Benchmarking (2013, background): “An all spin logic device (ASLD) [31], [32] is formed by nanomagnets placed over a copper wire (Fig.”
- Colloquium : Spintronics in graphene and other two-dimensional materials (2019, background): “, 2016) and ultimately all-spin logic with built-in memory (Behin-Aein et al., 2010).”
- Highly efficient spin transport in epitaxial graphene on SiC (2012, background): “Figure 4 shows that equation (4) captures the experimental trends for the dependence of and and also allows to clearly discriminate between the various values of .”
- Spintronics (2015, methodology): “All-spin logic devices (ASLDs) [Behin-aein et al. 2010; Sarkar et al. 2012], as shown in Figure 26(a), employ nano-magnets as digital spin capacitors to store data bit information and spin currents (through STT or SOT effects) to communicate, realizing”
- Spin-torque building blocks. (2014, background): “have developed two different concepts of spintronic neuromorphic hardware [114] [115] [116]; one being an extension of all-spin logic [68] and a second relying on current-induced magnetic domain wall motion.”