Random Circuit Breaker Network Model for Unipolar Resistance Switching
By S. Chae, Jae Sung Lee, Sejin Kim, S. Lee, Seo Hyoung Chang, Chunli Liu, Byungnam Kahng, Hyunjung Shin, Dong-Wook Kim, C. Jung and 3 more. 2008
324 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/733c082b11764843a4664efe0a080e788f6a3709
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In Artificial Intelligence
In Electrical and Electronic Engineering
- Daniele Ielmini
- H. Philip Wong
- Shimeng Yu
- Ximeng Guan
- R. Bruchhaus
- Rainer Waser
- H. Akinaga
- Hisashi Shima
Citations in the corpus
- Microscopic Modeling of HfOx RRAM Operations: From Forming to Switching (2015, methodology): “Such models employ a variety of approaches and methodologies, such as percolationbased theories [5], [7], [8], metal ions migration mechanism [4], quantum point contact theory [6], and kinetic Monte Carlo (kMC) approach [9].”
- Thermochemical resistive switching: materials, mechanisms, and scaling projections (2011, methodology): “After only four iterations the filament is formed [66] (copyright Wiley-VCH Verlag GmbH & Co KGaA; reproduced with permission).”
- On the Switching Parameter Variation of Metal Oxide RRAM—Part II: Model Corroboration and Device Design Strategy (2012, methodology): “Phenomenological models such as the network of random circuit breakers [13] have been applied to the unipolar RRAM devices.”
- Resistive Random Access Memory (ReRAM) Based on Metal Oxides (2010, methodology): “Several studies have been devoted to understanding the unipolar operation of ReRAM [36], [ 47 ].”