scholarly journals RESET Current Reduction for Phase Change Memory Based on Standard 0.13-μm CMOS Technology

2011 ◽  
Vol 16 ◽  
pp. 401-406
Author(s):  
CHEN Yifeng ◽  
SONG Zhitang ◽  
CHEN Xiaogang ◽  
LIU Bo ◽  
FENG Gaoming ◽  
...  
2020 ◽  
Vol 67 (10) ◽  
pp. 4228-4233
Author(s):  
Anabel De Proft ◽  
Daniele Garbin ◽  
Gabriele Luca Donadio ◽  
Hubert Hody ◽  
Thomas Witters ◽  
...  

2015 ◽  
Vol 7 (2) ◽  
pp. 172-176 ◽  
Author(s):  
Zhitang Song ◽  
YiPeng Zhan ◽  
Daolin Cai ◽  
Bo Liu ◽  
Yifeng Chen ◽  
...  

2011 ◽  
Vol 46 (1) ◽  
pp. 52-63 ◽  
Author(s):  
Guido De Sandre ◽  
Luca Bettini ◽  
Alessandro Pirola ◽  
Lionel Marmonier ◽  
Marco Pasotti ◽  
...  

2017 ◽  
Author(s):  
J. Kluge ◽  
A. Verdy ◽  
G. Navarro ◽  
S. Blonkowski ◽  
V. Sousa ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 2945
Author(s):  
Feilong Ding ◽  
Deqi Dong ◽  
Yihan Chen ◽  
Xinnan Lin ◽  
Lining Zhang

A robust simulation framework was developed for nanoscale phase change memory (PCM) cells. Starting from the reaction rate theory, the dynamic nucleation was simulated to capture the evolution of the cluster population. To accommodate the non-uniform critical sizes of nuclei due to the non-isothermal conditions during PCM cell programming, an improved crystallization model was proposed that goes beyond the classical nucleation and growth model. With the above, the incubation period in which the cluster distributions reached their equilibrium was captured beyond the capability of simulations with a steady-state nucleation rate. The implications of the developed simulation method are discussed regarding PCM fast SET programming and retention. This work provides the possibility for further improvement of PCM and integration with CMOS technology.


2009 ◽  
Vol 20 (28) ◽  
pp. 285701 ◽  
Author(s):  
Yiming Li ◽  
Chih-Hong Hwang ◽  
Tien-Yeh Li ◽  
Hui-Wen Cheng

2012 ◽  
Vol 101 (7) ◽  
pp. 073502 ◽  
Author(s):  
Minghua Li ◽  
Rong Zhao ◽  
Leong Tat Law ◽  
Kian Guan Lim ◽  
Luping Shi

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