2016
DOI: 10.48550/arxiv.1601.06503
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

TiO2 based Nanostructured Memristor for RRAM and Neuromorphic Applications: A Simulation Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2016
2016

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…The popular version of RRAM is known as a memristor which is modeled around the valency change mechanism [12][13][14][15]. Our group has worked to a greater depth in the area of design, development, modeling, realization and applications of memristors [3][4][5][10][11][12][13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The popular version of RRAM is known as a memristor which is modeled around the valency change mechanism [12][13][14][15]. Our group has worked to a greater depth in the area of design, development, modeling, realization and applications of memristors [3][4][5][10][11][12][13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…In light of the literature review and as an extension of our ongoing work [3][4][5][10][11][12][13][14][15][16][17][18][19] the present manuscript, reports our investigations on the effect of temperature on ZnO, TiO2, WO3 and HfO2 based RRAM devices using thermal reaction model reported in the ref. [25].…”
Section: Introductionmentioning
confidence: 99%