2022
DOI: 10.1021/acsami.2c10944
|View full text |Cite
|
Sign up to set email alerts
|

Modified Dynamic Physical Model of Valence Change Mechanism Memristors

Abstract: Valence change-type resistance switching behaviors in oxides can be understood by well-established physical models describing the field-driven oxygen vacancy distribution change. In those models, electroformed residual oxygen vacancy filaments are crucial as they work as an electric field concentrator and limit the oxygen vacancy movement along the vertical direction. Therefore, their movement outward by diffusion is negligible. However, this situation may not be applicable in the electroforming-free system, w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
14
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 8 publications
(15 citation statements)
references
References 48 publications
0
14
0
Order By: Relevance
“…1a,b) based on ideal solution thermodynamics. We will later explain these differences in the context of phase separation, which can explain why some experiments show HRS retention failure 15,16,20,21 like ours, while others yield LRS retention failure 14,18,19 .…”
Section: Retention Measurements In Taox-based Vcmmentioning
confidence: 64%
See 4 more Smart Citations
“…1a,b) based on ideal solution thermodynamics. We will later explain these differences in the context of phase separation, which can explain why some experiments show HRS retention failure 15,16,20,21 like ours, while others yield LRS retention failure 14,18,19 .…”
Section: Retention Measurements In Taox-based Vcmmentioning
confidence: 64%
“…Second, while this model predicts filament dissolution, experimental measurements have shown evidence for both higher resistance from filament dissolution 14,15,18,19 (Fig. 1b) and lower resistance from filament widening 15,16,20,28 (Fig. 1c).…”
mentioning
confidence: 93%
See 3 more Smart Citations