2011
DOI: 10.1140/epjb/e2011-20176-0
|View full text |Cite
|
Sign up to set email alerts
|

Electric field-induced rearrangement of charged species in metal oxide devices with resistive change: thermodynamic limitations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 19 publications
0
6
0
Order By: Relevance
“…Under dark or UV conditions, a time-dependent drift in resistance was observed, even under bias of 100 mV across the ZnO. The possible mechanism behind this phenomenon is electric field-induced ion migration, and the aggregation of ionized adsorbates toward the anode or cathode, and from photocatalytic desorption of oxygen from the ZnO lattice 30 , 31 .…”
Section: Resultsmentioning
confidence: 99%
“…Under dark or UV conditions, a time-dependent drift in resistance was observed, even under bias of 100 mV across the ZnO. The possible mechanism behind this phenomenon is electric field-induced ion migration, and the aggregation of ionized adsorbates toward the anode or cathode, and from photocatalytic desorption of oxygen from the ZnO lattice 30 , 31 .…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, the primary short-term drift of the sensor resistance is not observed in the saved data. However, the mid-term drift of the sensor resistance, which is often related to a diffusion of vacancies in metal oxides [ 17 , 44 , 45 ], has been ascertained as shown for example in Figure 10 (It is worth noting that the cogged character of the sensor array profile is not essential to be accounted for in the present study though it is rather characteristic for the metal oxide multisensor array chips. It appears during a long e-nose operation period, due to oxygen ion migration [ 45 , 46 ]).…”
Section: Experiments Results and Discussionmentioning
confidence: 99%
“…Figure 12b schematically shows a sample with two lateral electrodes and distribution of surface OH − groups during the bias-on (polarization (P)) and bias-off (relaxation (R)) steps of the experiment. The surface ionic transport, known since Shockley's time, 154 is important for many devices, determining the operation of conductometric gas sensors, 155 electrocatalysts, and affecting the polarization switching in ferroelectric memory devices. 156 Unlike amperometric techniques that are limited by the sensitivity of the current amplifier, tr-KPFM can probe minuscule charge flows, even on insulating surfaces.…”
Section: Potential Detectionmentioning
confidence: 99%
“…A full quantitative analysis approach would require solving the inverse problem by converting the CPD maps into maps of local charge distributions, rates of electrochemical reactions, or ionic mobilities. This challenging problem was partially solved (in one dimension) in early KPFM studies of semiconducting devices 158−160 and multielectrode gas sensor systems, 155 and has become an integral part of the so-called energy discovery platform (EDP) approach. 157,161,162 The EDP approach seeks to unravel the surface electrochemistry and ionic transport in the studied system through a synergistic combination of sample microfabrication, tr-KPFM, and numerical modeling.…”
Section: Potential Detectionmentioning
confidence: 99%