CMOS IC failure mechanisms are of three general types: bridge defects, open circuit defects, and parametric related failures. This article summarizes bridge and open-circuit defect properties and provides references for further self-study. Bridge defects are characterized based on location, their significance in terms of logic gates and transistors, and critical resistance for dc logic and timing failures. Open defects are more complex and diverse with six possible failure modes each of which are described in the article.

Magnetic current imaging provides electrical fault isolation for shorts, leakage currents, resistive opens, and complete opens. In addition, it can be performed nondestructively from either side a die, wafer, packaged IC, or PCB. This article reviews the basic theory and attributes of MCI, describes the types of sensors used, and discusses general measurement procedures. It also presents application examples demonstrating recent advancements and improvements in MCI.

This article discusses the causes and effects of stuck-open faults (SOFs) in nanometer CMOS ICs. It addresses detection and localization challenges and explains how resistive contacts and vias and the use of damascene-copper processes contribute to the problem. It also discusses layout techniques that reduce the likelihood of SOF failures.

Failure analysis labs are fairly well equipped for dealing with shorts and leakages in stacked-die packages, but are at a disadvantage when it comes to opens, particularly those at the die or die interconnect level. This article presents a new FA technique that has the potential to make up for this shortcoming. The new method, called space domain reflectometry (SDR), is based on radio-frequency magnetic current imaging, and as the authors show, is capable of accurately locating a dead open in a double-stacked BGA package, even when the full stack is encapsulated in molding compound.

This is the second article in a two-part series investigating solder connection failures associated with BGA packages. Part I, in the February 2017 issue of EDFA, examines various cases of open and short circuit failures, discusses the formation of voids, and explains how to reveal important clues by grinding away the BGA package. Part II continues the analysis of voids and focuses in on failures due to circuit board faults. In such cases, the board is ground away from the backside, stopping just short of the first inner copper layer. The alignment of the two uppermost copper layers, the integrity of microvias, and other potential problems are then examined using polarized light which readily passes through the remaining resin and fibers. As the examples in the article show, this approach can reveal a wide range of manufacturing defects in PCBs.

Layout sensitivity, a measure of vulnerability to yield loss, typically takes several days to compute for a modern VLSI design. In this article, the authors present and demonstrate a new stochastic model that can significantly expedite the process. The model is based on simple IC layout parameters including wire width, wire spacing, and channel density. The authors explain how they derived the model and how it compares to actual data. They also discuss the causes and effects of open and short defects and define the concepts of critical area and layout sensitivity.

Although much traditional FA depends on physical observation to localize failures, electrical techniques are also important, particularly with advances in design for testability (DFT) on modern ICs. DFT structures combined with automated test equipment and algorithmic fault diagnosis facilitate a test-based fault localization (TBFL) approach to identify defect locations on ICs based on scan test patterns. This article and a companion piece in the November 2001 issue of EDFA provide an overview these methods and show how they can reduce the number of potential defect sites on a chip and, in some cases, identify defects that would be missed by other techniques.

A team of semiconductor engineers recently developed a new fault localization method tailored for high-resistance faults. In this article, they discuss the basic principle of the technique and explain how they validated it for various test cases.

Scanning probe microscopy (SPM) is widely used for fault isolation as well as diagnosing leakage current, detecting open circuits, and characterizing doping related defects. In this article, the author presents two SPM applications that are fairly uncommon but no less important in the scope of failure analysis. The first case involves the discovery of nano-steps on the surface of high-voltage NFETs, a phenomenon associated with stress-induced crystalline shift along the (111) silicon plane. In the second case, the author uses an AFM probe in the conductive mode to correlate tunneling current distribution with hot spots in high-k gate oxide films, which is shown to be a better indicator of oxide quality than rms surface roughness.

Atomic force microscopy has been a consistent factor in the advancements of the past decade in IC nanoprobing and failure analysis. Over that time, many new atomic force measurement techniques have been adopted by the IC analysis community, including scanning conductance, scanning capacitance, pulsed current-voltage, and capacitance-voltage spectroscopy. More recently, two new techniques have emerged: diamond probe milling and electrostatic force microscopy (EFM). As the authors of the article explain, diamond probe milling using an atomic force microscope is a promising new method for in situ, localized, precision delayering of ICs, while active EFM is a nondestructive alternative to EBAC microscopy for localization of opens in IC analysis.

This article provides insights into the nature of IDDQ and timing defects and the challenges they present to failure analysts based on the findings of a Sematach study.

The 22nd European Symposium on Reliability of Electron Devices, Failure Physics and Analysis (ESREF 2011) was held October 3 to 7, 2011, in Bordeaux, France. The conference concentrated on two main areas in electronics that concern designers, manufacturers, and users: (1) strategy for quality and reliability assessment of electronic circuits and systems, and (2) advanced analysis techniques for technology and product evaluation. This article reports on highlights of the technical program.

Electro optical terahertz pulse reflectometry (EOTPR) is a nondestructive fault isolation technique that is well suited for today’s ICs. This article provides examples of how EOTPR is being used to investigate 2.5D and 3D packages, wafer level fanout packages, and MEMS devices. It also discusses recent advancements in EOTPR systems and software.

Scanning laser-SQUID microscopy is a new electrical inspection and failure analysis technique that can detect open, high-resistance, and shorted interconnects without electrical contact in areas ranging in size from a few square microns to an entire die. This article describes the setup of a prototype laser-SQUID system, explaining how it works and how it compares to other nondestructive defect localization techniques. It presents application examples in which laser-SQUID microscopy is used to locate gate oxide shorts to within 1.3 μm and detect IC defects prior to bond-pad pattering and after bonding and packaging. It also includes a series of images acquired from a board-mounted chip with fields of view ranging from 5 x 5 mm down to 50 x 50 μm.

This article provides a qualitative overview of several new defect localization techniques, including charge-induced voltage alteration (CIVA), light-induced voltage alteration (LIVA), thermally-induced voltage alteration (TIVA), and Seebeck effect imaging (SEI). It explains how each method works in terms of the physics of signal generation and the types of images they produce. It also includes a summary highlighting the similarities and differences of each technique.

Magnetic microscopy is a defect localization technique that has several advantages. It is nondestructive, noninvasive, and contactless. In many cases, it can be used even before component depackaging. This article describes the basic setup of a magnetic current imaging (MCI) microscope and explains how it reveals 3D current paths at the package and die level. It also presents application examples showing how MCI has helped failure analysts isolate a wide range of electrical defects, including shorts, resistive opens, and full opens.

This article is the first in a two-part series analyzing solder connection failures between BGA packages and PCB assemblies. Part I examines failures attributed to oxygen intrusion during reflow, underetched solder resist, and solder paste printing problems. In the latter case, X-ray inspection revealed no abnormalities other than a variation in ball size. To get to the root cause, the corpus of the BGA was progressively ground away, leaving only the balls and an unobstructed view of the PCB surface. A description of the process, supported by detailed images, is included in the article. In Part II, scheduled for the May 2017 issue of EDFA, the author delves deeper into the analysis of voids and presents an alternate FA approach that involves grinding away much of the PCB.

Picosecond imaging circuit analysis (PICA) is an advanced diagnostic technique that measures device switching activity on CMOS ICs through the backside of the die. Due to its relatively large field of view, it can quickly locate defects among large numbers of candidates. In this case study, the authors explain how they used PICA to identify a particular I/O circuit defect on the IBM System/390 G5 microprocessor. They also explain how they verified the diagnostic result using circuit simulations.

This case study compares the FA success rate and turn-around time of traditional logic-only and true layout-aware scan diagnosis. It discusses the basic process flow, identifies key success factors, and evaluates physical FA and diagnostic test results obtained from six dies randomly selected from a 9.8 M-gate, seven-metal-layer ASIC manufactured in 90 nm technology. As shown, layout-aware diagnosis reduces the defect search area on the die, in some cases, by an order of magnitude, providing the means to diagnosis-driven yield improvements.

This article presents a recent breakthrough in the use of machine learning in semiconductor FA. For the first time, cell-internal defects in FinFETs have not only been detected and diagnosed, but also refined, clarified, and resolved using cell-aware diagnosis along with root cause deconvolution (RCD) techniques. The authors describe the development of the methodology and evaluate the incremental improvements made with each step.