Publications de Cecilia Giovinazzo

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In this article, we inspected the bipolar resistive switching behavior of W-based ReRAMs, using HfO2 as switching layer. We have shown that the switching properties can be significantly enhanced by incorporating an Al2O3 layer as a barrier layer. It stabil ...

Tungsten (W) is one of the most promising materials to be used in resistive random-access memory electrodes due to its low work function and compatibility with semiconductors, which raises the possibility of device integration, scalability, and low power c ...

Metal-oxide-based resistive memory devices (ReRAM) are being actively researched as synaptic elements of neuromorphic co-processors for training deep neural networks (DNNs). However, device-level non-idealities are posing significant challenges. In this wo ...

Resistive-switching random access memory (ReRAM) technologies are nowadays a good candidate to overcome the bottleneck of Von Neumann architectures, taking advantage of their logic-in-memory capability and the ability to mimic biological synapse behavior. ...

Cecilia Giovinazzo

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The key impact of incorporated Al2O3 barrier layer on W-based ReRAM switching performance

Switching Kinetics Control of W-Based ReRAM Cells in Transient Operation by Interface Engineering

Multi-ReRAM synapses for artificial neural network training

Analog Control of Retainable Resistance Multistates in HfO2 Resistive-Switching Random Access Memories (ReRAMs)