Holistic Variability Analysis in Resistive Switching Memories Using a Two-Dimensional Variability Coefficient
Christian Acal, D. Maldonado, Ana M. Aguilera, Kaichen Zhu, Mario Lanza, J.B. Roldán
Abstract
High Resolution Image Download MS PowerPoint Slide We present a new methodology to quantify the variability of resistive switching memories. Instead of statistically analyzing few data points extracted from current versus voltage ( I – V ) plots, such as switching voltages or state resistances, we take into account the whole I – V curve measured in each RS cycle. This means going from a one-dimensional data set to a two-dimensional data set, in which every point of each I – V curve measured is included in the variability calculation. We introduce a new coefficient (named two-dimensional variability coefficient, 2DVC) that reveals additional variability information to which traditional one-dimensional analytical methods (such as the coefficient of variation) are blind. This novel approach provides a holistic variability metric for a better understanding of the functioning of resistive switching memories.