Percolative approach for failure time prediction of thin film interconnects under high current stress

2005 ◽  
Vol 45 (2) ◽  
pp. 391-395 ◽  
Author(s):  
E. Misra ◽  
Md M. Islam ◽  
Mahbub Hasan ◽  
H.C. Kim ◽  
T.L. Alford
2013 ◽  
Vol 102 (2) ◽  
pp. 023503 ◽  
Author(s):  
Mallory Mativenga ◽  
Sejin Hong ◽  
Jin Jang

2013 ◽  
Vol 34 (11) ◽  
pp. 1403-1405 ◽  
Author(s):  
Andreas Tsormpatzoglou ◽  
Nikolaos A. Hastas ◽  
Forough Mahmoudabadi ◽  
Nackbong Choi ◽  
Miltiadis K. Hatalis ◽  
...  

2013 ◽  
Vol 52 (10S) ◽  
pp. 10MC06
Author(s):  
Seunghyun Kim ◽  
Yong-Jin Park ◽  
Young-Chang Joo ◽  
Young-Bae Park

2018 ◽  
Vol 31 (2) ◽  
pp. 403-415 ◽  
Author(s):  
Ahmed Elsheikh ◽  
Soumaya Yacout ◽  
Mohamed-Salah Ouali ◽  
Yasser Shaban

1997 ◽  
Vol 471 ◽  
Author(s):  
W. Eccleston

ABSTRACTThe drift of electrons in the channels of Thin Film Transistors is analysed for discrete grains separated by grain boundaries containing amorphous silicon. The model provides the relationship channel mobility and grain size. The relationship between drain current and the terminal voltages is also predicted. The model relates to normal high current region of transistor operation.


2014 ◽  
Vol 624 ◽  
pp. 366-370
Author(s):  
Li Qun Li ◽  
Hui Zhao

172 basic Cessna plane in the process of operation, the production of equipment failure is random, so the evaluation of equipment performance and to predict its failure time to improve the safe operation of the 172 basic plane has important application value. On the plane this complex system, the grey theory combined with 172 basic Cessna plane, the collection of 172 basic aircraft fault information centralized data processing, analysis, prediction model GM (1, 1), through the calculation of the GM model data, and the error precision fitting test, better realize the basic 172 aircraft equipment failure time prediction.


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