Case Study in Fault Isolation of a Metal Short for Yield Enhancement

2010 ◽  
Author(s):  
Sarven Ipek ◽  
David Grosjean
Keyword(s):  
Failure Analysis ◽  
Failure Mechanism ◽  
Photon Emission ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Analysis Technique ◽  
Laser Signal ◽  
Signal Injection ◽  
Microscopy Techniques

Abstract The application of an individual failure analysis technique rarely provides the failure mechanism. More typically, the results of numerous techniques need to be combined and considered to locate and verify the correct failure mechanism. This paper describes a particular case in which different microscopy techniques (photon emission, laser signal injection, and current imaging) gave clues to the problem, which then needed to be combined with manual probing and a thorough understanding of the circuit to locate the defect. By combining probing of that circuit block with the mapping and emission results, the authors were able to understand the photon emission spots and the laser signal injection microscopy (LSIM) signatures to be effects of the defect. It also helped them narrow down the search for the defect so that LSIM on a small part of the circuit could lead to the actual defect.

Failure Analysis of Killer Defects and Yield Enhancement of Flat ROM Devices in Wafer Fabrication

2000 ◽  
Author(s):  
Y. N. Hua ◽  
Z. R. Guo ◽  
L. H. An ◽  
Shailesh Redkar
Keyword(s):  
Electron Microscope ◽  
Failure Analysis ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Wafer Fabrication ◽  
X Ray ◽  
Particle Contamination ◽  
Emission Microscopy ◽  
Microscopy Techniques ◽  
Scanning Electron

Abstract In this paper, some low yield cases in Flat ROM device (0.45 and 0.6 µm) were investigated. To find killer defects and particle contamination, KLA, bitmap and emission microscopy techniques were used in fault isolation. Reactive ion etching (RIE) and chemical delayering, 155 Wright Etch, BN+ Etch and scanning electron microscope (SEM) were used for identification and inspection of defects. In addition, energy-dispersive X-ray microanalysis (EDX) was used to determine the composition of the particle or contamination. During failure analysis, seven kinds of killer defects and three killer particles were found in Flat ROM devices. The possible root causes, mechanisms and elimination solutions of these killer defects/particles were also discussed.

Case Study Failure Analysis of an Ultra-High Vacuum Enclosure Made of a Silicon Chip and Borosilicate Glass for the Cold Atom Laboratory

2017 ◽  
Author(s):  
Gil Garteiz ◽  
Javeck Verdugo ◽  
David Aveline ◽  
Eric Williams ◽  
Arvid Croonquist ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Failure Analysis ◽  
Failure Mechanism ◽  
Borosilicate Glass ◽  
High Vacuum ◽  
Cold Atom ◽  
Fault Isolation ◽  
Ultra High Vacuum ◽  
Liquid Bath

Abstract In this paper, a failure analysis case study on a custom-built vacuum enclosure is presented. The enclosure’s unique construction and project requirement to preserve the maximum number of units for potential future use in space necessitated a fluorocarbon liquid bath for fault isolation and meticulous sample preparation to preserve the failure mechanism during failure analysis.

Verification of DLS Data by LVP in Case of Marginal Failure

2016 ◽  
Author(s):  
Keonil Kim ◽  
Sungjin Kim ◽  
Kunjae Lee ◽  
Kyeongju Jin ◽  
Yunwoo Lee ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Failure Mechanism ◽  
Fault Location ◽  
Photon Emission ◽  
Fault Localization ◽  
Fault Isolation ◽  
The Real ◽  
Defect Isolation ◽  
The Relationship ◽  
Non Destructive

Abstract In most of the non-destructive electrical fault isolation cases, techniques such as DLS, Photon Emission, LIT, OBIRCH indicate a fault location directly. But relying on just one of these techniques for marginal failure mechanism is not enough for better fault localization. When Failure Analysis (FA) engineers encounter high NDF (No Defect Found) rates, by using only one of the techniques, they may need to consider the relationship between the responded locations by different techniques and fail phenomenon for better defect isolation. This paper talks about how a responded DLS location does not always indicate a fault location and how LVP data collected using DLS location can pin point the real defect location.

In-SEM Fault Isolation Using Voltage Contrast, EBIC/EBAC and Resistive Contrast Imaging

2020 ◽  
Author(s):  
Lori L. Sarnecki ◽  
Caleb Daigneault
Keyword(s):  
Semiconductor Device ◽  
Photon Emission ◽  
Fault Localization ◽  
Spot Size ◽  
Fault Isolation ◽  
Contrast Imaging ◽  
Laser Signal ◽  
Signal Injection ◽  
Voltage Contrast ◽  
Optical Level

Abstract With the ever shrinking semiconductor device features coupled with the increasing circuit density, optical level fault localization techniques such as Photon Emission Microscopy (PEM), Laser Signal Injection Microscopy (LSIM) and Thermal Hotspot Localization (THS) can only get you so far due to these limitations: magnification, spot size and drop in detection sensitive at higher magnification. Using a 100x objective can put you in the ball park. Test data such as ATE & ATPG can point you to a specific block of circuitry but still far from defect localization. With in-SEM fault isolation and localization techniques such as Voltage Contrast (VC), Electron Beam Induced/Absorb Current (EBIC/EBAC) and Resistive Contrast Imaging (RCI), the nano-scale defect can be further localized due to the advantage of the magnification and spot size. This paper offers the combined techniques of optical level fault localization (PEM, LSIM & THS) and in- SEM or E-beam techniques (VC, EBAC, RCI) to successfully perform fault localization when challenged with the above scenarios.

Advanced T-LSIM System Detections using Amplified External Isolated Source-Sense Unit

2018 ◽  
Author(s):  
Zhi Jie Lau ◽  
Chris Philips
Keyword(s):  
Fault Isolation ◽  
Isolation Technique ◽  
Laser Signal ◽  
Signal Injection ◽  
Sense Unit ◽  
Types Of Faults

Abstract Thermal-Laser Signal Injection Microscopy (T-LSIM) is a widely used fault isolation technique. Although there are several T-LSIM systems on the market, each is limited in terms of the voltage and current it can produce. In this paper, the authors explain how they incorporated an Amplified External Isolated Source-Sense (AxISS) unit into their T-LSIM platform, increasing its current sourcing capability and voltage biasing range. They also provide examples highlighting the types of faults and failures that the modified system can detect.

Advanced IR-OBIRCH Analysis Technique for High Isb Failure Analysis

2010 ◽  
Author(s):  
Kuo Hsiung Chen ◽  
Wen Sheng Wu ◽  
Yu Hsiang Shu ◽  
Jian Chan Lin
Keyword(s):  
Failure Analysis ◽  
Failure Mechanisms ◽  
Fault Localization ◽  
Resistance Change ◽  
The Real ◽  
Analysis Techniques ◽  
Analysis Technique ◽  
Leakage Failure ◽  
Failure Site

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.

Die-Level Scanning Capacitance Microscopy Fault Isolation on SOI Fin-FET Devices for Advanced Semiconductor Nodes

2018 ◽  
Author(s):  
Lucile C. Teague Sheridan ◽  
Tanya Schaeffer ◽  
Yuting Wei ◽  
Satish Kodali ◽  
Chong Khiam Oh
Keyword(s):  
Atomic Force Microscopy ◽  
Failure Analysis ◽  
Fault Isolation ◽  
Scanning Capacitance Microscopy ◽  
Force Microscopy ◽  
Atomic Force

Abstract It is widely acknowledged that Atomic force microscopy (AFM) methods such as conductive probe AFM (CAFM) and Scanning Capacitance Microscopy (SCM) are valuable tools for semiconductor failure analysis. One of the main advantages of these techniques is the ability to provide localized, die-level fault isolation over an area of several microns much faster than conventional nanoprobing methods. SCM, has advantages over CAFM in that it is not limited to bulk technologies and can be utilized for fault isolation on SOI-based technologies. Herein, we present a case-study of SCM die-level fault isolation on SOI-based FinFET technology at the 14nm node.

Advanced Scan Diagnosis Based Fault Isolation and Defect Identification for Yield Learning

2005 ◽  
Author(s):  
Chris Eddleman ◽  
Nagesh Tamarapalli ◽  
Wu-Tung Cheng
Keyword(s):  
Failure Analysis ◽  
Fault Location ◽  
Effective Means ◽  
Fault Isolation ◽  
Yield Enhancement ◽  
Yield Analysis ◽  
Isolation Techniques ◽  
Yield Learning ◽  
Time Required ◽  
Inspection Data

Abstract Yield analysis of sub-micron devices is an ever-increasing challenge. The difficulty is compounded by the lack of in-line inspection data as many companies adopt foundry or fab-less models for acquiring wafers. In this scenario, failure analysis is increasingly critical to help drive yields. Failure analysis is a process of fault isolation, or a method of isolating failures as precisely as possible followed by identification of a physical defect. As the number of transistors and metal layers increase, traditional fault isolation techniques are less successful at isolating a cause of failures. Costs are increasing due to the amount of time needed to locate the physical defect. One solution to the yield analysis problem is scan diagnosis based fault isolation. Previous scan diagnosis based techniques were limited with little information about the type of fault and confidence of diagnosis. With new scan diagnosis algorithms it is now possible to not only isolate, but to identify the type of fault as well as assigning a confidence ranking prior to any destructive analysis. This paper presents multiple case studies illustrating the application of scan diagnosis as an effective means to achieve yield enhancement. The advanced scan diagnostic tool used in this study provides information about the fault type as well as fault location. This information focuses failure analysis efforts toward a suspected defect, decreasing the cycle time required to determine root cause, as well as increasing the over all success rate.

Short Wavelength Probing for Fault Isolation Applications

2020 ◽  
Author(s):  
Ravikumar Venkat Krishnan ◽  
Lua Winson ◽  
Vasanth Somasundaram ◽  
Phoa Angeline ◽  
Pey Kin Leong ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Spatial Resolution ◽  
Short Wavelength ◽  
Fault Isolation ◽  
Laser Probing ◽  
Successful Case ◽  
20 Nm

Abstract Short wavelength probing (SWP) uses wavelengths of light shorter than 1100 nm or energies higher than silicon bandgap for laser probing applications. While SWP allows a significant improvement to spatial resolution, there are aberrations to the collected laser probing waveforms which result in difficulties in signal interpretations. In this work, we assess the signals collected through SWP (785 nm) and introduce a photodiode model to explain the observations. We also present a successful case study using 785 nm for failure analysis in sub-20 nm FinFET technology.

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