Analysis of the latch-up process and current filamentation in high-voltage trench-IGBT cell arrays

Author(s):  
C. Toechterle ◽  
F. Pfirsch ◽  
C. Sandow ◽  
G. Wachutka
Keyword(s):  
2016 ◽  
Vol 16 (2) ◽  
pp. 266-268
Author(s):  
Chunwei Zhang ◽  
Siyang Liu ◽  
Kaikai Xu ◽  
Jiaxing Wei ◽  
Ran Ye ◽  
...  

2012 ◽  
Vol 482-484 ◽  
pp. 81-84 ◽  
Author(s):  
Shen Li Chen ◽  
Tzung Shian Wu ◽  
Yun Ru Chen ◽  
Hung Wei Chen ◽  
Chun Hsing Shih ◽  
...  

This paper applied the Taguchi method to simulate the latch-up effect of nLDMOS to achieve an optimization design. The applied model is for an nLDMOS structure with high voltage well plus the adaptive (adjustment) layers of source & drain, and an N-type buried layer. Although the methods we could choose is abundant, we hope to effectively obtain the data which is useful for statistics in order to judge the correct characteristic of parameters. We applied the Taguchi method to perform an optimization in the paper. There are six parameters with two levels in this work, so we choose the Taguchi table to be L8(27). By this way, it can decrease the times of experiment much effectively.


2013 ◽  
Vol 732-733 ◽  
pp. 1207-1211
Author(s):  
Shen Li Chen ◽  
Tzung Shian Wu

In this paper, we propose a novel high-voltage (HV) nLDMOS transistor with a small Ron resistance, low trigger voltage (Vt1) and high holding voltage (Vh) characteristics. Here, we introduce a deep N+-buried-layer (NBL) into this HV nLDMOS to evaluate the ESD/latch-up (LU) parameters variation. These electric snapback parameters affect the reliability of proposed device and its performance. Eventually, we expect this proposed HV stucture processed better characteristic behaviors, which can be applied to the power electronics and ESD protection application of HV ICs.


2006 ◽  
Vol 46 (9-11) ◽  
pp. 1591-1596 ◽  
Author(s):  
M. Heer ◽  
V. Dubec ◽  
S. Bychikhin ◽  
D. Pogany ◽  
E. Gornik ◽  
...  
Keyword(s):  

2014 ◽  
Vol 61 (11) ◽  
pp. 3814-3820 ◽  
Author(s):  
Jing Zhu ◽  
Weifeng Sun ◽  
Weinan Dai ◽  
Long Zhang ◽  
Shenli Lu ◽  
...  

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