Observation of conducting filament growth in nanoscale resistive memories

By Yuchao Yang, P. Gao, Siddharth Gaba, Ting Chang, Xiaoqing Pan, Wei Dang Lu. Nature Communications, 2012

1,103 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1f6aee04a54d85c26595ad91b658bf41a34fc78b

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. Giacomo Indiveri
2. Ilia Valov
3. B. Linares‐Barranco
4. John Paul Strachan
5. T. Serrano‐Gotarredona
6. Qiangfei Xia
7. Wei Dang Lu
8. Patrick Sheridan

Citations in the corpus

• Fully memristive neural networks for pattern classification with unsupervised learning (2018, background): “In this article, we report an artificial neuron with stochastic dynamics based on a diffusive memristor that relies on the migration of silver in a host dielectric 31–33 .”
• Cation-based resistance change memory (2013, background): “In addition, we have to acknowledge that the kinetics of filament formation has been more intensively studied than the kinetics of filament dissolution, where only a limited number of studies have been carried out [68, 69, 72, 74].”