2018 IEEE 13th Nanotechnology Materials and Devices Conference (NMDC) 2018
DOI: 10.1109/nmdc.2018.8605915
|View full text |Cite
|
Sign up to set email alerts
|

An RRAM with a 2D Material Embedded Double Switching Layer for Neuromorphic Computing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 8 publications
0
1
0
Order By: Relevance
“…A similar performance could be observed on subsequent pulses who were dependent on the previous resistance states. Apart from RRAM devices with traditional metal oxides, short-term synaptic performance of devices fabricated with 2D materials are also under investigation [159][160][161]. Sun et al reported their research on 2D-material-based devices with h-BN as a functional layer [159].…”
Section: Short-term Plasticity For Rram Devicesmentioning
confidence: 99%
“…A similar performance could be observed on subsequent pulses who were dependent on the previous resistance states. Apart from RRAM devices with traditional metal oxides, short-term synaptic performance of devices fabricated with 2D materials are also under investigation [159][160][161]. Sun et al reported their research on 2D-material-based devices with h-BN as a functional layer [159].…”
Section: Short-term Plasticity For Rram Devicesmentioning
confidence: 99%