2017 17th Non-Volatile Memory Technology Symposium (NVMTS) 2017
DOI: 10.1109/nvmts.2017.8171310
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Kinetic Monte Carlo modeling of the charge transport in a HfO<inf>2</inf>-based ReRAM with a rough anode

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Cited by 2 publications
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“…In this paper, a different model for the resistive switching in TiN/Ti/HfO 2 /TiN devices without thermal annealing is presented. Our model is compatible with theoretical findings, similar to switching models presented by other groups and able to explain experimentally obtained data. ,,, Furthermore, the conditions for filament growth from the anode to the cathode are discussed. 2D and 3D models have different advantages.…”
Section: Introductionsupporting
confidence: 91%
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“…In this paper, a different model for the resistive switching in TiN/Ti/HfO 2 /TiN devices without thermal annealing is presented. Our model is compatible with theoretical findings, similar to switching models presented by other groups and able to explain experimentally obtained data. ,,, Furthermore, the conditions for filament growth from the anode to the cathode are discussed. 2D and 3D models have different advantages.…”
Section: Introductionsupporting
confidence: 91%
“…This leads to a change in the local stoichiometry and to the formation of a conductive filament. Many other KMC simulations of resistive switching in memristive hafnium oxide have been published so far, using this filament growth model. A different KMC model, similar to the model of this work, has been presented, assuming oxygen vacancies to be mobile and formed at the HfO 2 /electrode interface. , However, the model is limited to the forming process until now. Theoretical investigations showed a very high energy barrier for the formation of Frenkel defects within the bulk of HfO 2 and that these defects are unstable. , Furthermore, density functional theory (DFT) calculations predict that oxygen vacancies should be mobile in hafnium oxide. , Yalon et al investigated the growth direction in memristive hafnium oxide devices including titanium as a getter material for oxygen.…”
Section: Introductionmentioning
confidence: 99%
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