Multivariate analysis and extraction of parameters in resistive RAMs using the Quantum Point Contact model Roldán Aranda, Juan Bautista Miranda, E. González Cordero, Gerardo García Fernández, Pedro Romero Zaliz, Rocio Celeste González Rodelas, Pedro Aguilera Del Pino, Ana María González, M. B. Jiménez Molinos, Francisco Resistive switching memory RRAM Quantum Point Contact Model Conductive filaments Parameter extraction A multivariate analysis of the parameters that characterize the reset process in RRAMs has been performed. The different correlations obtained can help to shed light on the current components that contribute in the Low Resistance State (LRS) of the technology considered. In addition, a screening method for the Quantum Point Contact (QPC) current component is presented. For this purpose the second derivative of the current has been obtained using a novel numerical method which allows determining the QPC model parameters. Once the procedure is completed, a whole RS series of thousands of curves is studied by means of a genetic algorithm. The extracted QPC parameter distributions are characterized in depth to get information about the filamentary pathways associated with LRS in the low voltage conduction regime. 2021-11-16T09:27:29Z 2021-11-16T09:27:29Z 2018-01-02 journal article J. B. Roldan, E. Miranda, G. Gonzalez-Cordero, P. García- Fernández, R. Romero-Zaliz, P. González-Rodelas, A. M. Aguilera, M.B. González, F. Jiménez-Molinos. “Multivariate analysis and extraction of parameters in resistive RAMs using the Quantum Point Contact model” Journal of Applied Physics, 2018, 123, 014501. DOI: 10.1063/1.5006995 http://hdl.handle.net/10481/71547 https://doi.org/10.1063/1.5006995 eng http://creativecommons.org/licenses/by-nd/3.0/es/ open access Atribución-SinDerivadas 3.0 España AIP Publishing