Spintronic memristors for computing
Abstract The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for implementing these algorithms. Memristors are programmable...
Saved in:
| Main Authors: | Qiming Shao, Zhongrui Wang, Yan Zhou, Shunsuke Fukami, Damien Querlioz, Leon O. Chua |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | npj Spintronics |
| Online Access: | https://doi.org/10.1038/s44306-025-00078-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
2D Spintronics for Neuromorphic Computing with Scalability and Energy Efficiency
by: Douglas Z. Plummer, et al.
Published: (2025-03-01) -
Spintronics in the «Bottom-up» Approach
by: Yu.A. Kruglyak, et al.
Published: (2014-11-01) -
Challenges and Prospects of Molecular Spintronics
by: Xianrong Gu, et al.
Published: (2023-09-01) -
Mutual Synchronization of Antiferromagnetic Spintronic Oscillators
by: A. Yu. Mitrofanova, et al.
Published: (2022-11-01) -
Transforming memristor noises into computational innovations
by: Chenchen Ding, et al.
Published: (2025-07-01)