Flaminia Vinci
Physical Simulation of the ReRAM reliability and retention through Kinetic Monte Carlo modeling.
Rel. Carlo Ricciardi, Gabriel Molas. Politecnico di Torino, Master of science program in Nanotechnologies For Icts, 2024
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Abstract
In the era of advanced technology , non-volatile (NV) Resistive Random Access Memory (ReRAM or RRAM) represents a revolutionary paradigm, able to withstand the Big Data requirement. Thanks to its intrinsic low power consumption, low cost, fast access times and high memory density, RRAM is forecasted to be a promising heir of flash technology. Based on a simple two terminal metal-insulator-metal (in this work, said to be TiN/HfO2/Ti) structure, its conductivity can be controlled by the application of a proper bias voltage during the programming phase, where the device moves from SET (HRS -> LRS) to RESET (LRS -> HRS) state.
This study revolves around the assessment of Oxide-based RRAM (OxRAM) retention capability at high (up to +150°C) operating temperatures
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