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Andrea Redaelli

Researcher at Micron Technology

Publications -  116
Citations -  2929

Andrea Redaelli is an academic researcher from Micron Technology. The author has contributed to research in topics: Phase-change memory & Chalcogenide. The author has an hindex of 24, co-authored 104 publications receiving 2747 citations. Previous affiliations of Andrea Redaelli include Numonyx & Olivetti.

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Journal ArticleDOI

Reliability study of phase-change nonvolatile memories

TL;DR: A detailed investigation of the reliability aspects in nonvolatile phase-change memories (PCM) is presented, covering the basic aspects related to high density array NVM, i.e., data retention, endurance, program and read disturbs.
Journal ArticleDOI

Electronic switching effect and phase-change transition in chalcogenide materials

TL;DR: The threshold switching mechanism in amorphous chalcogenides has been investigated in this article, showing experimental data that once and for all demonstrate its electronic nature and the physical mechanisms responsible for the switching to the highly conductive state are discussed and the impact of cumulative read-out pulses is also investigated, showing that phase-change transitions induced by usual reading operations in phase change memory cells are completely negligible.
Proceedings ArticleDOI

Electrothermal and phase-change dynamics in chalcogenide-based memories

TL;DR: In this paper, the chalcogenide phase-change mechanism and phase distribution in the programmed cell is studied by both experiments and a numerical model, which self-consistently addresses the electrical-thermal conduction phase transition.
Journal ArticleDOI

Threshold switching and phase transition numerical models for phase change memory simulations

TL;DR: In this article, a comprehensive numerical model for chalcogenide glasses is presented, coupling a physically based electrical model able to reproduce the threshold switching with a local nucleation and growth algorithm to account for the phase transition dynamics.
Journal ArticleDOI

Modeling of Programming and Read Performance in Phase-Change Memories—Part I: Cell Optimization and Scaling

TL;DR: A general procedure to find the optimum-cell geometry is proposed and applied to a prototype vertical cell, and the evolution of program and read performances through technology nodes is analyzed by numerical simulations with the aid of an analytical model.