scholarly journals A Phase Change Memory Chip Based on TiSbTe Alloy in 40-nm Standard CMOS Technology

2015 ◽  
Vol 7 (2) ◽  
pp. 172-176 ◽  
Author(s):  
Zhitang Song ◽  
YiPeng Zhan ◽  
Daolin Cai ◽  
Bo Liu ◽  
Yifeng Chen ◽  
...  
2011 ◽  
Vol 16 ◽  
pp. 401-406
Author(s):  
CHEN Yifeng ◽  
SONG Zhitang ◽  
CHEN Xiaogang ◽  
LIU Bo ◽  
FENG Gaoming ◽  
...  

2013 ◽  
Vol 60 (6) ◽  
pp. 1521-1533 ◽  
Author(s):  
Gael F. Close ◽  
Urs Frey ◽  
Jack Morrish ◽  
Richard Jordan ◽  
Scott C. Lewis ◽  
...  

2014 ◽  
Vol 543-547 ◽  
pp. 471-474
Author(s):  
Qian Wang ◽  
Hou Peng Chen ◽  
Yi Yun Zhang ◽  
Xi Fan ◽  
Xi Li ◽  
...  

Design of a novel initialization circuit is presented in this paper. The initialization circuit is used to supply initialization current to the first test of phase change memory chip after delivery. Inhomogeneous crystalline grain sizes appear in phase change materials used in memory cells during manufacturing process. The crystalline phase with low resistance will convert to amorphous phase with high resistance after initialization, which is called RESET the memory cells to 0. Normal RESET operation current is not high enough to RESET great grain, which deteriorates bit yield of phase change memory chip. In comparison, the higher initialization current will increase bit yield observably.


Nanoscale ◽  
2021 ◽  
Author(s):  
Zhitang Song ◽  
Daolin Cai ◽  
Yan Cheng ◽  
Lei Wang ◽  
Shilong Lv ◽  
...  

Correction for ‘12-state multi-level cell storage implemented in a 128 Mb phase change memory chip’ by Zhitang Song et al., Nanoscale, 2021, DOI: 10.1039/d1nr00100k.


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

2015 ◽  
Vol 12 (20) ◽  
pp. 20150792-20150792 ◽  
Author(s):  
Qian Wang ◽  
Xi Li ◽  
Houpeng Chen ◽  
Yifeng Chen ◽  
Yueqing Wang ◽  
...  

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.


2019 ◽  
Vol 16 (11) ◽  
pp. 20190250-20190250
Author(s):  
Jie Miao ◽  
Houpeng Chen ◽  
Yu Lei ◽  
Yi Lv ◽  
Weili Liu ◽  
...  

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