From Memristive Materials to Neural Networks-Reference-Cited by-同舟云学术

From Memristive Materials to Neural Networks

Published:2020-11-24 Issue:49 Volume:12 Page:54243-54265
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Guo Tao¹,Sun Bai¹²^ORCID,Ranjan Shubham³,Jiao Yixuan¹⁴,Wei Lan³,Zhou Y. Norman¹^ORCID,Wu Yimin A.¹^ORCID

Affiliation:

1. Department of Mechanical and Mechatronics Engineering, Waterloo Institute of Nanotechnology, Centre for Advanced Materials Joining, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

2. School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials (Ministry of Education of China), Southwest Jiaotong University, Chengdu, Sichuan 610031, China

3. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

4. Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

Funder

Canada Research Chairs

Government of Canada

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.0c10796

Reference226 articles.

1. The chips are down for Moore’s law

2. Memory leads the way to better computing

3. Thimbleby, H. Modes, WYSIWYG and the von Neumann bottleneck. IEE Colloquium on Formal Methods and Human-Computer Interaction: II; IET, 1988; p 1–4.

4. General purpose molecular dynamics simulations fully implemented on graphics processing units

5. In-Datacenter Performance Analysis of a Tensor Processing Unit

Cited by 65 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Three types of resistive switching in ferroelectric Hf0.5Zr0.5O2 films mediated by polarization reversal and oxygen vacancy migration;Rare Metals;2024-08-01

2. Bioinspired AlFeO₃ Memristor with Sensing, Storage, and Synaptic Functionalities;Advanced Functional Materials;2024-07-31

3. The resistance switching performance of the memristor improved effectively by inserting carbon quantum dots (CQDs) for digital information processing;Nano Research;2024-07-13

4. Quantized Nonfragile State Estimation of Memristor-Based Fractional-Order Neural Networks with Hybrid Time Delays Subject to Sensor Saturations;Fractal and Fractional;2024-06-06

5. Event-based nonfragile state estimation for memristive recurrent neural networks with stochastic cyber-attacks and sensor saturations;Chinese Physics B;2024-06-01