scholarly journals Yield Improvement of Air-fed Ozonizer Using Shorter Pulsed Discharges

2021 ◽  
Author(s):  
Sho Okada ◽  
Takao Namihira ◽  
Douyan Wang
1998 ◽  
Vol 08 (PR7) ◽  
pp. Pr7-317-Pr7-326 ◽  
Author(s):  
O. A. Ivanov ◽  
A. M. Gorbachev ◽  
V. A. Koldanov ◽  
A. L. Kolisko ◽  
A. L. Vikharev

Author(s):  
Jenny Fan ◽  
Dave Mark

Abstract Metal interconnect defects have become a more serious yield detractor as backend process complexity has increased from a single layer to about 10 layers. This paper introduces a test methodology to monitor and localize the metal defects based on FPGA products. The test patterns are generated for each metal layer. The results not only indicate the severity of defects for each metal layer, but also accurately isolate open/short defects.


Author(s):  
Julie Segal ◽  
Arman Sagatelian ◽  
Bob Hodgkins ◽  
Tom Ho ◽  
Ben Chu ◽  
...  

Abstract Physical failure analysis (FA) of integrated circuit devices that fail electrical test is an important part of the yield improvement process. This article describes how the analysis of existing data from arrayed devices can be used to replace physical FA of some electrical test failures, and increase the value of physical FA results. The discussion is limited to pre-repair results. The key is to use classified bitmaps and determine which signature classification correlates to which type of in-line defect. Using this technique, physical failure mechanisms can be determined for large numbers of failures on a scale that would be unfeasible with de-processing and physical FA. If the bitmaps are classified, two-way correlation can be performed: in-line defect to bitmap failure, as well as bitmap signature to in-line defect. Results also demonstrate the value of analyzing memory devices failures, even those that can be repaired, to gain understanding of defect mechanisms.


Author(s):  
J. Douglass ◽  
T. D. Myers ◽  
F. Tsai ◽  
R. Ketcheson ◽  
J. Errett

Abstract This paper describes how the authors used a combination of focused ion beam (FIB) microprobing, transmission electron microscopy (TEM), and data and process analysis to determine that localized water residue was causing a 6% yield loss at die sort.


Crop Science ◽  
1992 ◽  
Vol 32 (3) ◽  
pp. 718-722 ◽  
Author(s):  
E. Martínez‐Barajas ◽  
C. Villanueva‐Verduzco ◽  
J. Molina‐Galán ◽  
H. Loza‐Tavera ◽  
E. Sánchez‐de‐Jiménez

Author(s):  
Muhammad Irfan Ullah ◽  
Shahzadi Mahpara ◽  
Rehana Bibi ◽  
Rahmat Ullah Shah ◽  
Rehmat Ullah ◽  
...  

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