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Dynamic photon emission is an efficient tool for timing analysis of various areas. However, advances in transistors integration bring more complex test patterns and more objects to investigate. As a consequence, understanding the analyzed area and finding nodes of interest can be difficult. In this paper, a method for drawing synthesis of the various signals met inside an area is reported. It is based...
The optical IR-OBIRCh technique is a standard failure analysis tool used to localize defects that are located at interconnects layers levels. For a functional logic failure, a failing test pattern is used to condition the device into a particular logic state to generate the failure. Commonly, the defect is detected for a set of test patterns. All test patterns will not provide the same IR-OBIRCh response...
Nowadays, with the increasing complexity of new VLSI circuits, laser stimulation or emission techniques and scan-based ATPG diagnostic reach their limits in functional logic failure. To overcome these limitations, a new methodology has been established. This methodology, presented in this paper, combines the advantages of both approaches in order to improve accuracy of fault isolation and defect localization.
Dynamic optical techniques (light emission and laser stimulation techniques) are routinely used for precise IC defect localization. As device technology is more and more shrinking, developing new techniques for defect localization is becoming a crucial challenge. Dynamic Laser Stimulation (DLS) techniques based on near-infrared laser scanning are used for failure analysis, design debug and time margin...
Optical techniques (light emission and laser stimulation techniques) are routinely used for precise IC defect localization. At the early stage of an analysis, choosing the right technique is an increasingly complex task. In some cases, one technique may bring value but no the others. Using an 180nm test structure device we present results showing the complementary of emission microscopy (EMMI), time-resolved...
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