Reliable Memristor Crossbar Array Based on 2D Layered Nickel Phosphorus Trisulfide for Energy-Efficient Neuromorphic Hardware
10.1002/smll.202304518
Saved in:
Main Authors: | Zhengjin Weng, Haofei Zheng, Lingqi Li, Wei Lei, Helong Jiang, Kah Wee Ang, Zhiwei Zhao |
---|---|
Other Authors: | ELECTRICAL AND COMPUTER ENGINEERING |
Format: | Article |
Language: | English |
Published: |
2024
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/248322 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
High-Performance Memristors Based on Few-Layer Manganese Phosphorus Trisulfide for Neuromorphic Computing
by: Zhengjin Weng, et al.
Published: (2024) -
High-performance one-dimensional halide perovskite crossbar memristors and synapses for neuromorphic computing
by: Vishwanath, Sujaya Kumar, et al.
Published: (2024) -
HFNet : a CNN architecture co-designed for neuromorphic hardware with a crossbar array of synapses
by: Gopalakrishnan, Roshan, et al.
Published: (2021) -
Wafer-Scale 2D Hafnium Diselenide Based Memristor Crossbar Array for Energy-Efficient Neural Network Hardware
by: Sifan Li, et al.
Published: (2023) -
Simulation of neural networks for neuromorphic chip with crossbar array of RRAM synapses
by: Sreejith Kumar Ashish Jith
Published: (2019)