Emerging Memory Technologies: Recent Trends and Prospects

By Shimeng Yu, Pai-Yu Chen. IEEE Solid-State Circuits Magazine, 2016

449 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7f7c2e6cf49d88825e79b66f9ae8108fcb64d11a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Shimeng Yu
2. Pai-Yu Chen
3. Xiaochen Peng
4. John Paul Strachan
5. Mohammed Affan Zidan
6. Wei D. Lu
7. Daniele Ielmini
8. H. Philip Wong

Citations in the corpus

• The future of electronics based on memristive systems (2018, background): “The first commercial market for RRAM devices is likely to be embedded memories, while further developments can eventually bring RRAM products to the stand-alone memory and storage market 23 .”
• Neuro-Inspired Computing With Emerging Nonvolatile Memorys (2018, background): “The eNVMs are mostly pursued as the next-generation storage-class memory technologies with aggressive industrial research and development [22].”
• NeuroSim: A Circuit-Level Macro Model for Benchmarking Neuro-Inspired Architectures in Online Learning (2018, background): “In principle, a two-terminal selector device should be added to prevent the interference between cells [32], however, the development of selector device is not mature at this stage.”