Spintronic materials and devices towards an artificial neural network: accomplishments and the last mile

Autor:	Rudis Ismael Salinas, Po-Chuan Chen, Chao-Yao Yang, Chih-Huang Lai
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	spintronics magneto-resistive random-access memory neuromorphic computing artificial neural network Materials of engineering and construction. Mechanics of materials TA401-492
Zdroj:	Materials Research Letters, Vol 11, Iss 5, Pp 305-326 (2023)
Druh dokumentu:	article
ISSN:	21663831 2166-3831
DOI:	10.1080/21663831.2022.2147803
Popis:	ABSTRACTNeuromorphic computing based on brain-inspired frameworks has shown its potential to perform computation with remarkable power and speed efficiency. The spintronic device has been considered a promising candidate for neuromorphic computing because of its intrinsic non-volatility, ultrafast switching dynamics and scalability. This article will review the current status of neuromorphic computing techniques employing spintronic materials and devices. We will begin with a concise introduction to the biological structure of neurons and then go through several important models of artificial neural networks. The revolutionary breakthroughs of spintronic-based neuromorphic computation will be demonstrated together with their challenges and outlook.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/b0154350b2dd4294bd5d1d1c55a40f82 Zobrazit plný text záznamu View record in DOAJ