Phase-type distributions for studying variability in resistve memories Acal González, Christian José Ruiz-Castro, Juan Eloy Aguilera Del Pino, Ana María Jimenez- Molinos, Francisco Roldán Aranda, Juan Bautista Resistive switching memory Conductive filaments Reset process Weibull distribution Phase-type distributions Statistical modeling A new statistical approach has been developed to analyze Resistive Random Access Memory (RRAM) variability. The stochastic nature of the physical processes behind the operation of resistive memories makes variability one of the key issues to solve from the industrial viewpoint of these new devices. The statistical features of variability have been usually studied making use of Weibull distribution. However, this probability distribution does not work correctly for some resistive memories, in particular for those based on the Ni/HfO2/Si structure thar has been employed in this work. A completely new approach based on phase-type modelling is proposed in this paper to characterize the randomness of resistive memories operation. An in-depth comparision with experimental results shows that the fitted phase-type distribution works better than the Weibull distribution and also helps to understand the physics of the resistive memories. 2021-06-23T10:40:57Z 2021-06-23T10:40:57Z 2019-01 info:eu-repo/semantics/article Phase-type distributions for studying variability in resistive memories. Journal of Computational and Applied Mathematics , 345, 23-32. DOI: 10.1016/j.cam.2018.06.010 http://hdl.handle.net/10481/69354 https://doi.org/10.1016/j.cam.2018.06.010 eng info:eu-repo/semantics/openAccess Elsevier