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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.
Papers
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Journal ArticleDOI
Reliability study of phase-change nonvolatile memories
Agostino Pirovano,Andrea Redaelli,Fabio Pellizzer,F. Ottogalli,Marina Tosi,Daniele Ielmini,Andrea L. Lacaita,Roberto Bez +7 more
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
Andrea L. Lacaita,Andrea Redaelli,Daniele Ielmini,Fabio Pellizzer,Agostino Pirovano,A. Benvenuti,Roberto Bez +6 more
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.