Highly Linear and Symmetric Weight Modification in HfO2-Based Memristive Devices for High-Precision Weight Entries

Abstract

In this study, highly reliable and accurate weight-modification behaviors are realized using a W/Al2O3(3 nm)/HfO2(7 nm)/TiN memristive device. The accuracy of the simulated inference of the MNIST dataset when considering the weight-modification behavior is approximate to 95%. It is determined the optimal programming voltage pulsing conditions considering i) a high linearity in the weight-modification, ii) symmetry between potentiation and depression, and iii) an alleviation of the voltage-driving circuit overhead for the related part of weight-modification process. Particular emphasis is placed on the last concern, and thus, the fixed shape of each programming pulse for both potentiation and depression are utilized. The optimal pulse design is 500 mu s for the pulse rising, plateau, and falling times and a 2 V amplitude at the absolute scale. Additionally, the nonparametric method to evaluate the linearity and symmetry as opposed to the application of several parametric methods are proposed. The nonparametric method is based on an evaluation of actual data rather than models, and thus considers the actual variability in the conductance change, which is otherwise often ignored in the parameter optimization process.