Memristive Behavior

Author(s):  
Manish Bilgaye ◽  
M. Gurunadha Babu ◽  
Y. David Solomon Raju ◽  
Adesh Kumar
Keyword(s):  
Author(s):  
Zimu Zhou ◽  
Pedro López-Domínguez ◽  
Muhammad Abdullah ◽  
Dylan M. Barber ◽  
Xiangxi Meng ◽  
...  

Technologies ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 118 ◽  
Author(s):  
Francesco Caravelli ◽  
Juan Carbajal

We present both an overview and a perspective of recent experimental advances and proposed new approaches to performing computation using memristors. A memristor is a 2-terminal passive component with a dynamic resistance depending on an internal parameter. We provide an brief historical introduction, as well as an overview over the physical mechanism that lead to memristive behavior. This review is meant to guide nonpractitioners in the field of memristive circuits and their connection to machine learning and neural computation.


2013 ◽  
Vol 112 ◽  
pp. 31-34 ◽  
Author(s):  
R. Zhang ◽  
Sh.U. Yuldashev ◽  
J.C. Lee ◽  
V.Sh. Yalishev ◽  
T.W. Kang ◽  
...  
Keyword(s):  

2018 ◽  
Vol 124 (19) ◽  
pp. 193902 ◽  
Author(s):  
H.-K. Hwang ◽  
J. Kwon ◽  
K.-S. Lee ◽  
J.-I. Hong ◽  
C.-Y. You

2017 ◽  
Vol 5 (44) ◽  
pp. 11421-11428 ◽  
Author(s):  
Chien-Chung Shih ◽  
Chao-Wei Huang ◽  
Mengyao Gao ◽  
Chu-Chen Chueh ◽  
Wen-Chang Chen

A new strategy to realize multi-state resistive memory by employing carbohydrate-based block copolymers, maltoheptaose-block-polyisoprene, as polyelectrolytes in a light-emitting electrochemical cell.


2015 ◽  
Vol 92 (21) ◽  
Author(s):  
Wolfgang Heckel ◽  
Michael Wehlau ◽  
Sascha B. Maisel ◽  
Thomas Frauenheim ◽  
Jan M. Knaup ◽  
...  

2020 ◽  
Vol 6 (10) ◽  
pp. 2000571
Author(s):  
Yu‐Hang Ji ◽  
An‐Ping Huang ◽  
Meng‐Qi Yang ◽  
Qin Gao ◽  
Xiu‐Li Yang ◽  
...  

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