Title :
Threshold-Voltage statistics and conduction regimes in nanocrystal memories
Author :
Gusmeroli, Riccardo ; Spinelli, Alessandro S. ; Compagnoni, Christian Monzio ; Ielmini, Daniele
Author_Institution :
Dipt. di Elettronica e Informazione, IU.NET, Milano, Italy
fDate :
5/1/2006 12:00:00 AM
Abstract :
Results of three-dimensional Monte Carlo simulations of nanocrystal (NC) memory cells are presented to investigate the statistical properties of the threshold-voltage shift (ΔVT). It is shown that NC-number fluctuations dominate the ΔVT spread in the ON-state cell conduction regime, while percolation effects add a significant contribution to the statistical spread in the subthreshold region. The dependence of the ΔVT statistics on the cell geometry is also investigated, which shows that NC number and position fluctuations can strongly affect the memory performance and must be suitably modeled.
Keywords :
Monte Carlo methods; integrated circuit modelling; integrated memory circuits; nanostructured materials; 3D Monte Carlo simulation; cell geometry; nanocrystal memory cells; percolative conduction; threshold-voltage shift; Fluctuations; Geometry; Joining processes; Monte Carlo methods; Nanocrystals; Nonvolatile memory; Semiconductor device modeling; Solid modeling; Statistics; Substrates; Nanocrystal (NC) memories; percolative conduction; semiconductor device modeling;
Journal_Title :
Electron Device Letters, IEEE
DOI :
10.1109/LED.2006.873754