Product Debug: Speed Problem Related to Unexpected RC Delay

Author(s):  
J.G. van Hassel ◽  
F. Zachariasse

Abstract In new product designs increasing effort is needed to observe and prove failure mechanisms or process marginalities. For advanced failure analysis Soft Defect Localization (SDL) [1] and Time Resolved Emission (TRE) [2,3] have now become a standard analysis method. Both techniques require a close co-operation between designers and analysts. In this paper we will discuss a comprehensive study to find the mechanism behind a speed problem in the digital part of an audio signal processor. The additional delay was related to unwanted routing through poly-silicide in timing critical circuitry.

Author(s):  
Hui Peng Ng ◽  
Ghim Boon Ang ◽  
Chang Qing Chen ◽  
Alfred Quah ◽  
Angela Teo ◽  
...  

Abstract With the evolution of advanced process technology, failure analysis is becoming much more challenging and difficult particularly with an increase in more erratic defect types arising from non-visual failure mechanisms. Conventional FA techniques work well in failure analysis on defectively related issue. However, for soft defect localization such as S/D leakage or short due to design related, it may not be simple to identify it. AFP and its applications have been successfully engaged to overcome such shortcoming, In this paper, two case studies on systematic issues due to soft failures were discussed to illustrate the AFP critical role in current failure analysis field on these areas. In other words, these two case studies will demonstrate how Atomic Force Probing combined with Scanning Capacitance Microscopy were used to characterize failing transistors in non-volatile memory, identify possible failure mechanisms and enable device/ process engineers to make adjustment on process based on the electrical characterization result. [1]


Author(s):  
Jan van Hassel

Abstract In this paper, a comprehensive study to find a memory related yield loss in 90 nm technology will be discussed. The loss was related to spacer bridging, blocking silicide formation and Lightly Doped Drain (LDD), source/drain implant. Soft Defect Localization (SDL) techniques [1], sub-micron Atomic Force Microscope (AFM) probing [2] and Time Resolved Emission (TRE) measurements were necessary to obtain an accurate understanding of the problem and the mechanism. Electrical results were compared to simulations. Modified test structures were implemented to monitor the process stability with respect to bridging failures.


Author(s):  
ChoonHou Lock ◽  
YikChoong Wong ◽  
KahHee Siek

Abstract A breakthrough approach was developed in which failure analysis (FA) of advanced microprocessor was carried out without the use of defect localization equipment. This technique enables the reading of internal signal value without the use of any physical probing method. This method demonstrates the same FA capability with higher success rate and shorter analysis time.


2018 ◽  
Author(s):  
Ke-Ying Lin ◽  
Chih-Yi Tang ◽  
Yu Chi Wang

Abstract The paper demonstrates the moving of lock-in thermography (LIT) spot location by adjusting the lock-in frequency from low to high. Accurate defect localization in stacked-die devices was decided by the fixed LIT spot location after the lock-in frequency was higher than a specific value depending on the depth of the defect in the IC. Physical failure analysis was performed based on LIT results, which provided clear physical defect modes of the stacked-die devices.


Author(s):  
Ng Sea Chooi ◽  
Chor Theam Hock ◽  
Ma Choo Thye ◽  
Khoo Poh Tshin ◽  
Dan Bockelman

Abstract Trends in the packaging of semiconductors are towards miniaturization and high functionality. The package-on-package(PoP) with increasing demands is beneficial in cost and space saving. The main failure mechanisms associated with PoP technology, including open joints and warpage, have created a lot of challenges for Assembly and Failure Analysis (FA). This paper outlines the sample preparation process steps to overcome the challenges to enable successful failure analysis and optical probing.


Author(s):  
Suk Min Kim ◽  
Jung Ho Lee ◽  
Jong Hak Lee ◽  
Hyung Ki Kim ◽  
Myung Sick Chang ◽  
...  

Abstract We report an analysis of a single shared column fail on DRAM technology using a nano-probing technique in this work. The electrical characteristics of the failed transistors show that the column fails were caused by two different failure mechanisms: abnormal contact and implant profiles. We believe that electrical analysis using nano-probing will be a powerful tool for non-visible failure analysis in the future because it is impossible to clearly reveal these two different failure mechanisms solely using physical failure methods.


Author(s):  
Kuo Hsiung Chen ◽  
Wen Sheng Wu ◽  
Yu Hsiang Shu ◽  
Jian Chan Lin

Abstract IR-OBIRCH (Infrared Ray – Optical Beam Induced Resistance Change) is one of the main failure analysis techniques [1] [2] [3] [4]. It is a useful tool to do fault localization on leakage failure cases such as poor Via or contact connection, FEoL or BEoL pattern bridge, and etc. But the real failure sites associated with the above failure mechanisms are not always found at the OBIRCH spot locations. Sometimes the real failure site is far away from the OBIRCH spot and it will result in inconclusive PFA Analysis. Finding the real failure site is what matters the most for fault localization detection. In this paper, we will introduce one case using deep sub-micron process generation which suffers serious high Isb current at wafer donut region. In this case study a BEoL Via poor connection is found far away from the OBIRCH spots. This implies that layout tracing skill and relation investigation among OBIRCH spots are needed for successful failure analysis.


Author(s):  
Kristopher D. Staller ◽  
Corey Goodrich

Abstract Soft Defect Localization (SDL) is a dynamic laser-based failure analysis technique that can detect circuit upsets (or cause a malfunctioning circuit to recover) by generation of localized heat or photons from a rastered laser beam. SDL is the third and seldom used method on the LSM tool. Most failure analysis LSM sessions use the endo-thermic mode (TIVA, XIVA, OBIRCH), followed by the photo-injection mode (LIVA) to isolate most of their failures. SDL is seldom used or attempted, unless there is a unique and obvious failure mode that can benefit from the application. Many failure analysts, with a creative approach to the analysis, can employ SDL. They will benefit by rapidly finding the location of the failure mechanism and forgoing weeks of nodal probing and isolation. This paper will cover circuit signal conditioning to allow for fast dynamic failure isolation using an LSM for laser stimulation. Discussions of several cases will demonstrate how the laser can be employed for triggering across a pass/fail boundary as defined by voltage levels, supply currents, signal frequency, or digital flags. A technique for manual input of the LSM trigger is also discussed.


Author(s):  
Cha-Ming Shen ◽  
Yen-Long Chang ◽  
Lian-Fon Wen ◽  
Tan-Chen Chuang ◽  
Shi-Chen Lin ◽  
...  

Abstract Highly-integrated radio frequency and mixed-mode devices that are manufactured in deep-submicron or more advanced CMOS processes are becoming more complex to analyze. The increased complexity presents us with many eccentric failure mechanisms that are uniquely different from traditional failure mechanisms found during failure analysis on digital logic applications. This paper presents a novel methodology to overcome the difficulties and discusses two case studies which demonstrate the application of the methodology. Through the case studies, the methodology was proven to be a successful approach. It is also proved how this methodology would work for such non-recognizable failures.


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.


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