Multilevel-Cell Phase-Change Memory: A Viable Technology

Article Properties
Cite
Athmanathan, Aravinthan, et al. “Multilevel-Cell Phase-Change Memory: A Viable Technology”. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 6, no. 1, 2016, pp. 87-100, https://doi.org/10.1109/jetcas.2016.2528598.
Athmanathan, A., Stanisavljevic, M., Papandreou, N., Pozidis, H., & Eleftheriou, E. (2016). Multilevel-Cell Phase-Change Memory: A Viable Technology. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 6(1), 87-100. https://doi.org/10.1109/jetcas.2016.2528598
Athmanathan, Aravinthan, Milos Stanisavljevic, Nikolaos Papandreou, Haralampos Pozidis, and Evangelos Eleftheriou. “Multilevel-Cell Phase-Change Memory: A Viable Technology”. IEEE Journal on Emerging and Selected Topics in Circuits and Systems 6, no. 1 (2016): 87-100. https://doi.org/10.1109/jetcas.2016.2528598.
Athmanathan A, Stanisavljevic M, Papandreou N, Pozidis H, Eleftheriou E. Multilevel-Cell Phase-Change Memory: A Viable Technology. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2016;6(1):87-100.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Refrences
Title Journal Journal Categories Citations Publication Date
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Solid-state drive requirements and endurance test method 2011
10.1109/IEDM.2007.4418973
10.1109/IEDM.2007.4419107
10.1109/IMW.2012.6213671
Citations
Title Journal Journal Categories Citations Publication Date
Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
2023
Model of a multilayer coating for an artificial optical synapse

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  • Science: Physics: Optics. Light
  • Science: Physics: Optics. Light
2022
Multilevel HfO2-based RRAM devices for low-power neuromorphic networks

APL Materials
  • Technology: Chemical technology: Biotechnology
  • Science: Physics
  • Technology: Chemical technology
  • Science: Chemistry
  • Science: Physics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
116 2019
A weak electric field-assisted ultrafast electrical switching dynamics in In3SbTe2 phase-change memory devices

AIP Advances
  • Science: Physics
  • Technology: Chemical technology
  • Science: Chemistry
  • Science: Physics
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
2 2017
Citations Analysis
The category Science: Physics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A weak electric field-assisted ultrafast electrical switching dynamics in In3SbTe2 phase-change memory devices and was published in 2017. The most recent citation comes from a 2023 study titled Combined HW/SW Drift and Variability Mitigation for PCM-Based Analog In-Memory Computing for Neural Network Applications. This article reached its peak citation in 2023, with 1 citations. It has been cited in 4 different journals, 75% of which are open access. Among related journals, the IEEE Journal on Emerging and Selected Topics in Circuits and Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year