Journal article
From Memristive Materials to Neural Networks
Abstract
The information technologies have been increasing exponentially following Moore's law over the past decades. This has fundamentally changed the ways of work and life. However, further improving data process efficiency is facing great challenges because of physical and architectural limitations. More powerful computational methodologies are crucial to fulfill the technology gap in the post-Moore's law period. The memristor exhibits promising …
Authors
Guo T; Sun B; Ranjan S; Jiao Y; Wei L; Zhou YN; Wu YA
Journal
ACS Applied Materials & Interfaces, Vol. 12, No. 49, pp. 54243–54265
Publisher
American Chemical Society (ACS)
Publication Date
December 9, 2020
DOI
10.1021/acsami.0c10796
ISSN
1944-8244