The University of Southampton
University of Southampton Institutional Repository

Suspended Gate Silicon Nanodot Memory (SGSNM) cell towards Non-Volatile RAM Memories

Suspended Gate Silicon Nanodot Memory (SGSNM) cell towards Non-Volatile RAM Memories
Suspended Gate Silicon Nanodot Memory (SGSNM) cell towards Non-Volatile RAM Memories
Garcia Ramirez, Mario
6110a5eb-c5bc-4b1c-9cc3-6569e5ae3259
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Mizuta, Hiroshi
f14d5ffc-751b-472b-8dba-c8518c6840b9
Garcia Ramirez, Mario
6110a5eb-c5bc-4b1c-9cc3-6569e5ae3259
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Mizuta, Hiroshi
f14d5ffc-751b-472b-8dba-c8518c6840b9

Garcia Ramirez, Mario, Tsuchiya, Yoshishige and Mizuta, Hiroshi (2010) Suspended Gate Silicon Nanodot Memory (SGSNM) cell towards Non-Volatile RAM Memories. International Symposium on Atom-scale Silicon Hybrid Nanotechnologies for "More than Moore" & "Beyond CMOS" era, held in the University of Southampton, UK, University of Southampton.

Record type: Conference or Workshop Item (Poster)

This record has no associated files available for download.

More information

Published date: 1 March 2010
Venue - Dates: International Symposium on Atom-scale Silicon Hybrid Nanotechnologies for "More than Moore" & "Beyond CMOS" era, held in the University of Southampton, UK, University of Southampton, 2010-03-01
Organisations: Nanoelectronics and Nanotechnology

Identifiers

Local EPrints ID: 268773
URI: http://eprints.soton.ac.uk/id/eprint/268773
PURE UUID: effc719d-d140-49fc-bc71-0f2b19e31cc1

Catalogue record

Date deposited: 23 Mar 2010 20:59
Last modified: 10 Dec 2021 23:12

Export record

Contributors

Author: Mario Garcia Ramirez
Author: Yoshishige Tsuchiya
Author: Hiroshi Mizuta

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×