Study of innovative stacks and architectures of Split-Gate charge trap memories

Due to the increasing demand for consumer, industrial and automotive products, highly reliable, and low integration cost embedded memories are more and more required. In this context, split-gate charge trap memories were proposed for microcontroller products, combining the advantage of a discrete storage layer and of the split-gate con guration. In this thesis, split-gate charge trap memories with electrical gate length down to 20nm are presented for the 1st time. Silicon nanocristals (Si-nc), or silicon nitride (SiN) and hybrid Si-nc/SiN based split-gate memories, with SiO2 or AlO control dielectrics, are compared in terms of program erase and retention. Then, the scalability of split-gate charge trap memories is studied, investigating the impact of gate length reduction on the memory window, retention and consumption. We thus studied the role of defects on alumina control dielectric employed in TANOS-like memory. We used atomistic simulation, consolidated by a detailed alumina physico-chemical material analysis, to investigate the origin of traps in alumina. We showed that the trap concentration in AlO can be decreased by adjusting the process conditions leading to improved retention behaviour in charge trap memory, suitable for embedded applications.

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Source https://theses.hal.science/tel-00863986
Author Masoero, Lia
Maintainer CCSD
Last Updated May 9, 2026, 16:27 (UTC)
Created May 9, 2026, 16:27 (UTC)
Identifier NNT: 2012GRENT088
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC) ; Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut National Polytechnique de Grenoble (INPG)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)
creator Masoero, Lia
date 2012-11-30T00:00:00
harvest_object_id 90da88a1-f711-4694-acb1-42f548f040a9
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE