Semiconductor memories are superb drivers for process yield and reliability improvement because of their highly structured architecture and use of aggressive layout rules. This combination provides outstanding failure signature analysis possibilities for the entire design, manufacturing, and test process. This article discusses five key disciplines of the signature analysis process that need to be orchestrated within the organization: design for test practices, test floor data collection methodology, post-test data analysis tools, root cause theorization, and physical failure analysis strategies.

This chapter presents an overview of microprocessor and application specific integrated circuit (IC) testing. It begins with a description of key industry trends that will impact how ICs will be tested in the future. Next, it provides a brief description of the most common tests applied in the IC industry, where technical issues that are causing methodology changes are emphasized. These include functional testing, structural testing, scan-based delay testing, built-in self-testing, memory testing, analog circuit testing, system-on-a-chip testing, and reliability testing. Trends discussed have driven the development of novel focus areas in test and the chapter discusses several of those areas, including test data volume containment, test power containment, and novel methods of defect-based test.

This chapter summarizes critical gaps and long-term needs in failure analysis technology as it relates to logic and memory devices and IC packages. It assesses the impact of vertical integration, new materials, and expansion in the third dimension on volume analysis, sample preparation and measurement methods, and cross-sectioning and imaging.

A typical mobile processor die may contain, among other things, a variety of high-performance as well as low-power processing cores along with 5G modems, Wi-Fi modules, image processors, GPUs, and security modules, with a total transistor count exceeding 10 billion. Such designs pose many challenges for yield ramp and diagnostics. This chapter examines these challenges and the growing demand for innovative solutions to help failure analysts quickly and accurately isolate faults. It also assesses the capabilities and future potential of ATPG scan diagnostics, streaming scan networks, and advanced fault models for diagnosing embedded memory.

The first step in die-level failure analysis is to narrow the search to a specific circuit or transistor group. Then begins the post-isolation process which entails further localizing the defect, determining its electrical, physical, and chemical properties, and examining its microstructure in order to identify the root cause of failure. This chapter assesses the tools and techniques used for those purposes and the challenges brought on by continued transistor scaling, advanced 3D packages, and new IC architectures. The areas covered include sample preparation, nanoprobing, microscopy, FIB circuit edit, and scanning probe microscopy.

Education and training play an important role if the failure analyst is to be successful in his or her work. This article discusses the history of training activities in the failure/product analysis discipline and describes where this area is heading. It provides information on three areas of education and training that should be given to the analyst for him or her to be successful developing and fielding modern semiconductor components: analysis process, technology, and technique training.

Scanning Probe Microscope (SPM) has an increasing important role in the development of nanoscale semiconductor technologies. This article presents a detailed discussion on various SPM techniques including Atomic Force Microscopy (AFM), Scanning Kelvin Probe Microscopy, Scanning Capacitance Microscopy, Scanning Spreading Resistance Microscopy, Conductive-AFM, Magnetic Force Microscopy, Scanning Surface Photo Voltage Microscopy, and Scanning Microwave Impedance Microscopy. An overview of each SPM technique is given along with examples of how each is used in the development of novel technologies, the monitoring of manufacturing processes, and the failure analysis of nanoscale semiconductor devices.

With the commercialization of heavier and lighter ion beams, adoption of focused ion beam (FIB) use for analysis of challenging regions of interest (ROI) has grown. In this chapter, the authors focus on highlighting commercially available and complementary FIB technologies and their implementation challenges and application trends.

This chapter assesses the potential impact of neural networks on package-level failure analysis, the challenges presented by next-generation semiconductor packages, and the measures that can be taken to maximize FA equipment uptime and throughput. It presents examples showing how neural networks have been trained to detect and classify PCB defects, improve signal-to-noise ratios in SEM images, recognize wafer failure patterns, and predict failure modes. It explains how new packaging strategies, particularly stacking and disintegration, complicate fault isolation and evaluates the ability of various imaging methods to locate defects in die stacks. It also presents best practices for sample preparation, inspection, and navigation and offers suggestions for improving the reliability and service life of tools.

Nonferrous metals are of commercial interest both as engineering materials and as alloying agents. This chapter addresses both roles, discussing the properties, processing characteristics, and applications of several categories of nonferrous metals, including light metals, corrosion-resistance alloys, superalloys, refractory metals, low-melting-point metals, reactive metals, precious metals, rare earth metals, and metalloids or semimetals. It also provides a brief summary on special-purpose materials, including uranium, vanadium, magnetic alloys, and thermocouple materials.

Circuit edit has been instrumental to the development of focused ion beam (FIB) systems. FIB tools for advanced circuit edit play a major role in the validation of design and manufacture. This chapter begins with an overview of value, role, and unique capabilities of FIB circuit edit tools for first silicon debug. The etching capabilities of circuit edit FIB tools are then discussed, providing information on chemistry assisted etching in silicon oxides and low-k dielectrics. The chapter also discusses the requirements and procedures involved in edit operation: high aspect ratio milling, endpointing, and cutting copper. It then provides an introduction to FIB metal/conductor deposition and FIB dielectric deposition. Edit design rules that can facilitate prototype production from first silicon are also provided. The chapter concludes with a discussion on future trends in circuit edit technology.

Over the revolutionary era of semiconductor technology, Computer-Aided Design Navigation (CADNav) tools have played an increasingly critical role in silicon debug and failure analysis (FA) in efforts to improve manufacturing yield while reducing time-to-market for integrated circuit (IC) products. This article encompasses the key principles of CADNav for various aspects of semiconductor FA and its importance for improved yield and profitability. An overview of the required input data and formats are described for both IC and package devices, along with key considerations and best practices recommended for fast fault localization, accurate root cause analysis, FA equipment utilization, efficient cross-team collaboration, and database management. Challenges with an FA lab ecosystem are addressed by providing an integrated database and software platform that enable design layout and schematic analysis in the FA lab for quick and accurate navigation and cross-tool collaboration.

Recent trends in electronic packaging, including the growing use of 3D designs and heterogeneous integration, are greatly adding to the complexity of isolating faults in semiconductor products. This chapter reviews the latest IC packaging and integration solutions and assesses the readiness level of fault isolation tools and techniques. It examines the capabilities, limitations, and optimization potential of x-ray tomography and magnetic field imaging, describes various approaches for optical fault isolation, and compares and contrasts pre-OFI sample preparation methods. The chapter also explains how time-domain and electro-optical terahertz pulse reflectometry are used to find shorts and opens in ICs and how challenges related to heterogenous integration may be met through design for testability (DFT) and built-in self-test (BIST) accommodations and the use of passive interposers.

Photon emission (PE) is one of the major optical techniques for contactless isolation of functional faults in integrated circuits (ICs) in full electrical operation. This article describes the fundamental mechanisms of PE in silicon based ICs. It presents the opportunities of contactless characterization for the most important electronic device, the MOS - Field Effect Transistor, the heart of ICs and their basic digital element, the CMOS inverter. The article discusses the specification and selection of detectors for proper PE applications. The main topics are image resolution, sensitivity, and spectral range of the detectors. The article also discusses the value and application of spectral information in the PE signal. It describes state of the art IC technologies. Finally, the article discusses the applications of PE in ICs and also I/O devices, integrated bipolar transistors in BiCMOS technologies, and parasitic bipolar effects like latch up.

This chapter surveys both basic quality and basic reliability concepts as an introduction to the failure analysis professional. It begins with a section describing the distinction between quality and reliability and moves on to provide an overview of the concept of experiment design along with an example. The chapter then discusses the purposes of reliability engineering and introduces four basic statistical distribution functions useful in reliability engineering, namely normal, lognormal, exponential, and Weibull. It also provides information on three fundamental acceleration models used by reliability engineers: Arrhenius, Eyring, and power law models. The chapter concludes with information on failure rates and mechanisms and the two techniques for uncovering reliability issues, namely burn-in and outlier screening.

This article addresses the ancillary issues regarding the nanoprobing and characterization of transistors, probing copper metallization layers, and the various imaging techniques. The discussion includes several characterization examples of known transistor failure types, namely four probe transistor characterization, two probe transistor characterization, and probing and characterizing metallization issues. The imaging techniques discussed are those that are specific to atomic force nanoprober or scanning electron microscope based tools. They are current contrast imaging, scanning capacitance imaging, e-beam absorbed current imaging, e-beam induced current imaging, e-beam induced resistance change imaging, and active voltage contrast imaging.

In this overview of diagnosis of scan logic and diagnosis driven failure analysis, the authors explore the world of diagnosis of digital semiconductors devices. After shortly outlining the technology behind diagnosis, the main part of this article describes key improvements to the basic diagnosis tools, discussing their merits for the failure analysis engineer. The article also describes the various requirements and other considerations that typically need to be taken into account to set up a full working scan diagnosis system. It summarizes the principles of design with embedded compression technologies. Finally, several successful industrial applications of diagnosis are presented.

The complexity of semiconductor chips and their packages has continuously challenged the known methods to analyze them. With larger laminates and the inclusion of multiple stacked die, methods to analyze modern semiconductor products are being pushed toward their limits to support these 2.5D and 3D packages. This article focuses on these methods of fault isolation, non-destructive imaging, and destructive techniques through an iterative process for failure analysis of complex packages.

This chapter assesses the capabilities and limitations of electric fault isolation (EFI) technology, the measurement challenges associated with new device architectures, and the pathways for improvement in emission microscopy, laser stimulation, and optical probing. It also assesses the factors that influence signal strength, spatial and timing resolution, and alignment accuracy between signal response images and the physical layout of the IC.