Filament Conduction and Reset Mechanism in NiO-Based Resistive-Switching Memory (RRAM) Devices
By U. Russo, Daniele Ielmini, C. Cagli, Andrea Leonardo Lacaita. IEEE Transactions on Electron Devices, 2009
334 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Polymers and Plastics
View Paper: https://www.semanticscholar.org/paper/3c1065c2819c82c88a7db0bdf3b225a71f49ae7d
How researchers see this paper
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In Electrical and Electronic Engineering
- Daniele Ielmini
- Shimeng Yu
- H. Philip Wong
- R. Bruchhaus
- Rainer Waser
- Furqan Zahoor
- Farooq Ahmad Khanday
- Tun Zainal Azni Zulkifli
In Polymers and Plastics
- Daniele Ielmini
- Shimeng Yu
- H. Philip Wong
- R. Bruchhaus
- Rainer Waser
- Furqan Zahoor
- Farooq Ahmad Khanday
- Tun Zainal Azni Zulkifli
Citations in the corpus
- Self-Accelerated Thermal Dissolution Model for Reset Programming in Unipolar Resistive-Switching Memory (RRAM) Devices (2009, methodology): “itself, using CF thermal and electrical parameters previously characterized [11].”
- Resistive switching memories based on metal oxides: mechanisms, reliability and scaling (2016, background): “switching has been explained by the purely thermal acceleration of redox transitions at the basis of CF connection/ disconnection in the gap region [1, 49, 50].”
- Thermochemical resistive switching: materials, mechanisms, and scaling projections (2011, background): “The unipolar switching is explained on the basis of the filamentary mechanism and the local thermally induced oxidation and reduction of Ni-rich filaments and a dissolution mechanism of defects [40,72].”
- Resistive Random Access Memory (RRAM): an Overview of Materials, Switching Mechanism, Performance, Multilevel Cell (mlc) Storage, Modeling, and Applications (2020, methodology): “ASU/Stanford [130]–[132] Physical electro-thermal model [135] Huang’s physical model [142] Filament dissolution model [143]–[145] Bocquet bipolar model [148]”
- Modeling the Universal Set/Reset Characteristics of Bipolar RRAM by Field- and Temperature-Driven Filament Growth (2011, methodology): “Solving (3) with boundary conditions T = T0 (room temperature) at the two electrodes at distance L leads to a maximum temperature along the CF equal to [12], [34]”
- An Electronic Synapse Device Based on Metal Oxide Resistive Switching Memory for Neuromorphic Computation (2011, background): “The set process, switching from high-resistance state (HRS) to low-resistance state (LRS), is attributed to the dielectric soft breakdown and creation of the CFs paths in the oxide matrix, while the reset process, switching from LRS to HRS, is attributed to the annihilation of the CFs by the Joule h”