%0 Journal Article
%@ 19317573
%A Zahoor, F.
%A Azni Zulkifli, T.Z.
%A Khanday, F.A.
%D 2020
%F scholars:13916
%I Springer
%J Nanoscale Research Letters
%K Computation theory; Costs; Storage (materials), Current-voltage relationship; Electrical characteristic; Emerging memory technologies; Multi level cell (MLC); Neuromorphic computing; Prospective applications; Resistance switching mechanisms; Resistive random access memory (rram), RRAM
%N 1
%R 10.1186/s11671-020-03299-9
%T Resistive Random Access Memory (RRAM): an Overview of Materials, Switching Mechanism, Performance, Multilevel Cell (mlc) Storage, Modeling, and Applications
%U https://khub.utp.edu.my/scholars/13916/
%V 15
%X In this manuscript, recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential applications in various fields, and excellent scalability is comprehensively reviewed. First, a brief overview of the field of emerging memory technologies is provided. The material properties, resistance switching mechanism, and electrical characteristics of RRAM are discussed. Also, various issues such as endurance, retention, uniformity, and the effect of operating temperature and random telegraph noise (RTN) are elaborated. A discussion on multilevel cell (MLC) storage capability of RRAM, which is attractive for achieving increased storage density and low cost is presented. Different operation schemes to achieve reliable MLC operation along with their physical mechanisms have been provided. In addition, an elaborate description of switching methodologies and current voltage relationships for various popular RRAM models is covered in this work. The prospective applications of RRAM to various fields such as security, neuromorphic computing, and non-volatile logic systems are addressed briefly. The present review article concludes with the discussion on the challenges and future prospects of the RRAM. © 2020, The Author(s).
%Z cited By 350