arXiv Open Access 2018

Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing

Andrew W. Stephan Jiaxi Hu Steven J. Koester

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Abstrak

We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network. This combination of effects offers an increase in speed and efficiency over other spintronic neural networks. A rigorous performance analysis via simulation is provided.

Topik & Kata Kunci

cs.ET

Penulis (3)

Andrew W. Stephan

Jiaxi Hu

Steven J. Koester

Format Sitasi

APA MLA BibTeX

Stephan, A.W., Hu, J., Koester, S.J. (2018). Benchmarking Inverse Rashba-Edelstein Magnetoelectric Devices for Neuromorphic Computing. https://arxiv.org/abs/1811.08624

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓