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Ferroelectric Domain Wall Memristor
被引:101
|作者:
McConville, James P. V.
[1
]
Lu, Haidong
[2
]
Wang, Bo
[3
]
Tan, Yueze
[3
]
Cochard, Charlotte
[1
]
Conroy, Michele
[4
,5
]
Moore, Kalani
[4
,5
]
Harvey, Alan
[4
,5
]
Bangert, Ursel
[4
,5
]
Chen, Long-Qing
[3
]
Gruverman, Alexei
[2
]
Gregg, J. Marty
[1
]
机构:
[1] Queens Univ Belfast, Sch Math & Phys, Ctr Nanostruct Media, Belfast BT7 1NN, Antrim, North Ireland
[2] Univ Nebraska, Phys & Astron, Astronomy, Lincoln, NE 68588 USA
[3] Penn State Univ, Dept Mat Sci & Engn, 221 Steidle Bldg, University Pk, PA 16802 USA
[4] Univ Limerick, Sch Sci, Dept Phys, Limerick V94 T9PX, Ireland
[5] Univ Limerick, Bernal Inst, Limerick V94 T9PX, Ireland
基金:
美国国家科学基金会;
欧盟地平线“2020”;
英国工程与自然科学研究理事会;
关键词:
ferroelectric domain wall;
memristor;
LITHIUM-NIOBATE;
CONDUCTIVITY;
LINBO3;
CONDUCTANCE;
DEPENDENCE;
FIELD;
D O I:
10.1002/adfm.202000109
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
A domain wall-enabled memristor is created, in thin film lithium niobate capacitors, which shows up to twelve orders of magnitude variation in resistance. Such dramatic changes are caused by the injection of strongly inclined conducting ferroelectric domain walls, which provide conduits for current flow between electrodes. Varying the magnitude of the applied electric-field pulse, used to induce switching, alters the extent to which polarization reversal occurs; this systematically changes the density of the injected conducting domain walls in the ferroelectric layer and hence the resistivity of the capacitor structure as a whole. Hundreds of distinct conductance states can be produced, with current maxima achieved around the coercive voltage, where domain wall density is greatest, and minima associated with the almost fully switched ferroelectric (few domain walls). Significantly, this "domain wall memristor" demonstrates a plasticity effect: when a succession of voltage pulses of constant magnitude is applied, the resistance changes. Resistance plasticity opens the way for the domain wall memristor to be considered for artificial synapse applications in neuromorphic circuits.
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