Parameter extraction techniques for the analysis and modeling of resistive memories Maldonado Correa, David Aldana Delgado, Samuel González, M. B. Jiménez Molinos, Francisco Campabadal, F. Roldán Aranda, Juan Bautista Resistive switching memory RRAM parameter extraction Kinetic Monte Carlo simulation Variability Numerical methods Series resistance A revision of the different numerical techniques employed to extract resistive switching (RS) and modeling parameters is presented. The set and reset voltages, commonly used for variability estimation, are calculated for different resistive memory technologies. The methodologies to extract the series resistance and the parameters linked to the charge-flux memristive modeling approach are also described. It is found that the obtained cycle-to-cycle (C2C) variability depends on the numerical technique used. This result is important, and it implies that when analyzing C2C variability, the extraction technique should be described to perform fair comparisons between different resistive memory technologies. In addition to the use of extensive experimental data for different types of resistive memories, we have also included kinetic Monte Carlo (kMC) simulations to study the formation and rupture events of the percolation paths that constitute the conductive filaments (CF) that allow resistive switching operation in filamentary unipolar and bipolar devices. 2022-09-15T07:49:04Z 2022-09-15T07:49:04Z 2022-09-08 journal article Microelectronic Engineering 265 (2022) 111876 [https://doi.org/10.1016/j.mee.2022.111876] http://hdl.handle.net/10481/76703 10.1016/j.mee.2022.111876 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Elsevier