International audienceThis work presents a model that allows to explain the resistance variability of OxRAM devices, both in high and low resistive states. This model is based on the calculation of a 3D resistance network, using trap assisted tunneling current. The stochastic nature of the resistance is captured by random placement of traps within a specific spatial distribution. The model is able to capture both cycle-to-cycle (temporal) and device-to-device (spatial) variability
18 pages, 5 figuresInternational audienceThe resistive switching phenomenon in MgO-based tunnel junc...
International audienceIn order to obtain reliable multilevel cell (MLC) characteristics, resistance ...
In this work, we present a thorough statistical characterization of cycling variability and Random T...
International audienceThis work presents a model that allows to explain the resistance variability o...
session 7: Memories and magnetic devicesInternational audienceIn this work, a model is proposed to e...
Abstract Variability in resistive random access memory cell has been one of the critical challenges ...
Intrinsic variability observed in resistive-switching devices (cycle-to-cycle and device-to-device)...
International audienceA deeper understanding of the impact of variability on Oxide-based Resistive R...
International audienceThis letter studies the intrinsic variability in oxide-based resistive RAM tec...
International audienceA stochastic model for the resistive switching of ReRAM devices with 1T1R conf...
The electrical properties of vertical resistive switching random access memories (VRRAMs) were inves...
The variability of switching parameters in redox-based resistive switching RAM (ReRAM) devices is in...
International audience—Emerging non-volatile memories based on resistive switching mechanisms pull i...
International audienceEmerging non-volatile memories based on resistive switching mechanisms attract...
In order to obtain reliable multilevel cell (MLC) characteristics, resistance controllability betwee...
18 pages, 5 figuresInternational audienceThe resistive switching phenomenon in MgO-based tunnel junc...
International audienceIn order to obtain reliable multilevel cell (MLC) characteristics, resistance ...
In this work, we present a thorough statistical characterization of cycling variability and Random T...
International audienceThis work presents a model that allows to explain the resistance variability o...
session 7: Memories and magnetic devicesInternational audienceIn this work, a model is proposed to e...
Abstract Variability in resistive random access memory cell has been one of the critical challenges ...
Intrinsic variability observed in resistive-switching devices (cycle-to-cycle and device-to-device)...
International audienceA deeper understanding of the impact of variability on Oxide-based Resistive R...
International audienceThis letter studies the intrinsic variability in oxide-based resistive RAM tec...
International audienceA stochastic model for the resistive switching of ReRAM devices with 1T1R conf...
The electrical properties of vertical resistive switching random access memories (VRRAMs) were inves...
The variability of switching parameters in redox-based resistive switching RAM (ReRAM) devices is in...
International audience—Emerging non-volatile memories based on resistive switching mechanisms pull i...
International audienceEmerging non-volatile memories based on resistive switching mechanisms attract...
In order to obtain reliable multilevel cell (MLC) characteristics, resistance controllability betwee...
18 pages, 5 figuresInternational audienceThe resistive switching phenomenon in MgO-based tunnel junc...
International audienceIn order to obtain reliable multilevel cell (MLC) characteristics, resistance ...
In this work, we present a thorough statistical characterization of cycling variability and Random T...