O. Pirrotta, A. Padovani, L. Larcher, L. Zhao, B. Magyari-Kope, Y. Nishi
{"title":"Multi-scale modeling of oxygen vacancies assisted charge transport in sub-stoichiometric TiOx for RRAM application","authors":"O. Pirrotta, A. Padovani, L. Larcher, L. Zhao, B. Magyari-Kope, Y. Nishi","doi":"10.1109/SISPAD.2014.6931557","DOIUrl":null,"url":null,"abstract":"In this work we investigate the charge transport in sub-stoichiometric TiOx for RRAM applications. We explored the atomic defect configurations actively assisting the charge transport in sub-stoichiometric TiOx through a multi-scale approach. We combined density-functional-theory-based non-equilibrium Green's function approach (DFT_NEGF) with physical-based trap assisted tunneling (TAT) modeling to identify the defects dominating the current conduction mechanism and the physical parameters of the defects responsible for the trap-assisted tunneling (TAT). The values of the thermal ionization energy ET and relaxation energy EREL extracted are 0.35-0.4eV and 0.7eV, respectively.","PeriodicalId":101858,"journal":{"name":"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISPAD.2014.6931557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this work we investigate the charge transport in sub-stoichiometric TiOx for RRAM applications. We explored the atomic defect configurations actively assisting the charge transport in sub-stoichiometric TiOx through a multi-scale approach. We combined density-functional-theory-based non-equilibrium Green's function approach (DFT_NEGF) with physical-based trap assisted tunneling (TAT) modeling to identify the defects dominating the current conduction mechanism and the physical parameters of the defects responsible for the trap-assisted tunneling (TAT). The values of the thermal ionization energy ET and relaxation energy EREL extracted are 0.35-0.4eV and 0.7eV, respectively.