TY - JOUR
T1 - Electroforming in Metal-Oxide Memristive Synapses
AU - Wang, Tao
AU - Shi, Yuanyuan
AU - Puglisi, Francesco Maria
AU - Chen, Shaochuan
AU - Zhu, Kaichen
AU - Zuo, Ying
AU - Li, Xuehua
AU - Jing, Xu
AU - Han, Tingting
AU - Guo, Biyu
AU - Bukvišová, Kristýna
AU - Kachtík, Lukáš
AU - Kolíbal, Miroslav
AU - Wen, Chao
AU - Lanza, Mario
N1 - Generated from Scopus record by KAUST IRTS on 2021-03-16
PY - 2020/3/11
Y1 - 2020/3/11
N2 - Memristors have shown an extraordinary potential to emulate the plastic and dynamic electrical behaviors of biological synapses and have been already used to construct neuromorphic systems with in-memory computing and unsupervised learning capabilities; moreover, the small size and simple fabrication process of memristors make them ideal candidates for ultradense configurations. So far, the properties of memristive electronic synapses (i.e., potentiation/depression, relaxation, linearity) have been extensively analyzed by several groups. However, the dynamics of electroforming in memristive devices, which defines the position, size, shape, and chemical composition of the conductive nanofilaments across the device, has not been analyzed in depth. By applying ramped voltage stress (RVS), constant voltage stress (CVS), and pulsed voltage stress (PVS), we found that electroforming is highly affected by the biasing methods applied. We also found that the technique used to deposit the oxide, the chemical composition of the adjacent metal electrodes, and the polarity of the electrical stimuli applied have important effects on the dynamics of the electroforming process and in subsequent post-electroforming bipolar resistive switching. This work should be of interest to designers of memristive neuromorphic systems and could open the door for the implementation of new bioinspired functionalities into memristive neuromorphic systems.
AB - Memristors have shown an extraordinary potential to emulate the plastic and dynamic electrical behaviors of biological synapses and have been already used to construct neuromorphic systems with in-memory computing and unsupervised learning capabilities; moreover, the small size and simple fabrication process of memristors make them ideal candidates for ultradense configurations. So far, the properties of memristive electronic synapses (i.e., potentiation/depression, relaxation, linearity) have been extensively analyzed by several groups. However, the dynamics of electroforming in memristive devices, which defines the position, size, shape, and chemical composition of the conductive nanofilaments across the device, has not been analyzed in depth. By applying ramped voltage stress (RVS), constant voltage stress (CVS), and pulsed voltage stress (PVS), we found that electroforming is highly affected by the biasing methods applied. We also found that the technique used to deposit the oxide, the chemical composition of the adjacent metal electrodes, and the polarity of the electrical stimuli applied have important effects on the dynamics of the electroforming process and in subsequent post-electroforming bipolar resistive switching. This work should be of interest to designers of memristive neuromorphic systems and could open the door for the implementation of new bioinspired functionalities into memristive neuromorphic systems.
UR - https://pubs.acs.org/doi/10.1021/acsami.9b19362
UR - http://www.scopus.com/inward/record.url?scp=85080945068&partnerID=8YFLogxK
U2 - 10.1021/acsami.9b19362
DO - 10.1021/acsami.9b19362
M3 - Article
C2 - 32036650
SN - 1944-8252
VL - 12
SP - 11806
EP - 11814
JO - ACS Applied Materials and Interfaces
JF - ACS Applied Materials and Interfaces
IS - 10
ER -