NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Fabrication, Characterization and Simulation of High Performance Si Nanowire-based Non-Volatile Memory Cells
Published
Author(s)
Xiaoxiao Zhu, Qiliang Li, D. E. Ioannou, Diefeng Gu, John E. Bonevich, Helmut Baumgart, John S. Suehle, Curt A. Richter
Abstract
We report the fabrication, characterization and simulation of Si nanowire SONOS-like non-volatile memory with HfO2 charge trapping layers of varying thickness. The memory cells, which are fabricated by self-aligning in-situ grown Si nanowires, exhibit high performance, i.e., fast Program/Erase operations, long retention time, and good endurance. The effect of trapping layer thickness of the nanowire memory cells has been experimentally measured and studied by simulation. As the thickness of HfO2 increases from 5 nm to 30 nm, the charge trap density increases as expected, while the program/erase speed and retention remain the same. This data indicates that the electric field across the tunneling oxide is not affected by HfO2 thickness, which is in a good agreement with simulation results. Our work also shows that the Ω-gate structure improves the program speed and retention time for memory application.
Zhu, X.
, Li, Q.
, Ioannou, D.
, Gu, D.
, Bonevich, J.
, Baumgart, H.
, Suehle, J.
and Richter, C.
(2011),
Fabrication, Characterization and Simulation of High Performance Si Nanowire-based Non-Volatile Memory Cells, Nanotechnology, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=907251
(Accessed October 8, 2025)