This work modifies existing nondestructive, laser-based techniques, such as thermally-induced voltage alteration (TIVA) and light-induced voltage alteration (LIVA), to determine precursors to failure in green and UV LEDs. Both TIVA and LIVA have been shown to be effective tools in localizing defects in Si-based integrated circuits and GaAs vertical cavity surface-emitting lasers. In a previous work, TIVA was also used to demonstrate failed InGaN LEDs in the III-V material system. This article expands the use of these techniques to localize potential precursors that lead to premature failures in deep green and deep UV LEDs. The paper shows how the TIVA/LIVA techniques were successfully used to characterize defects in wide bandgap AlGaN- and InGaN-based LEDs. The defects in the green LEDs appear to be electron-hole pair recombination sites and the observed voltage signals are primarily due to a LIVA effect.

By combining transmission electron microscopy (TEM) [1] with scanning capacitance microscopy (SCM) [2], it is possible to enhance our understanding of device failures. At Sandia, these complementary techniques have been utilized for failure analysis in new product development, process validation, and yield enhancement, providing unique information that cannot be obtained with other analytical tools. We have previously used these instruments to identify the root causes of several yield-limiting defects in CMOS device product lines [3]. In this paper, we describe in detail the use of these techniques to identify electrically active silicon dislocations in failed SRAMs and to study the underlying leakage mechanisms associated with these defects.

Transmission electron microscopy (TEM) [1] and scanning capacitance microscopy (SCM) [2] have become common failure analysis tools at Sandia for new product development, process validation, and yield enhancement. These two techniques provide information that cannot be obtained with other analytical techniques. The information provided by these two techniques has been instrumental in identifying the root causes of several yield-limiting defects in CMOS IC technologies at Sandia. This paper describes an example of how TEM and SCM have been used to identify the root causes of SOI device failures. The corrective actions taken to reduce defects and improve yield are also described.

We have developed scanning fluorescent microthermal imaging (SFMI), a new failure analysis technique. The fluorescent microthermal imaging (FMI) technique has been used for over a decade in its original form [1-2]. FMI normally relies on the use of a cooled, slow-scan CCD camera and a flood beam fluorescence pump source, usually an ultraviolet arc lamp. Interest in FMI has grown greatly over the past few years [3-9] due largely to its unique combination of high spatial and thermal resolution. In this paper, we demonstrate that the existing infrastructure found on a scanning laser microscope (SLM) is capable of acquiring the necessary images for SFMI using its scanned laser source and a point detector. The implications ofthis work are significant in that now high spatial and thermal resolution images can be made using an SLM without the need of additional, expensive hardware.

Micro-Electrical Mechanical Systems (MEMS) is an emerging technology with demonstrated potential for a wide range of applications including sensors and actuators for medical, industrial, consumer, military, automotive and instrumentation products. Failure analysis (FA) of MEMS is critically needed for the successful design, fabrication, performance analysis and reliability assurance of this new technology. Many devices have been examined using techniques developed for integrated circuit analysis, including optical inspection, scanning laser microscopy (SLM), scanning electron microscopy (SEM), focused ion beam (FIB) techniques, atomic force microscopy (AFM), infrared (lR) microscopy, light emission (LE) microscopy, acoustic microscopy and acoustic emission analysis. For example, the FIB was used to microsection microengines that developed poor performance characteristics. Subsequent SEM analysis clearly demonstrated the absence of wear on gear, hub, and pin joint bearing surfaces, contrary to expectations. Another example involved the use of infrared microscopy for thermal analysis of operating microengines. Hot spots were located, which did not involve the gear or hub, but indicated contact between comb structures which drive microengines. Voltage contrast imaging proved useful on static and operating MEMS in both the SEM and the FIB and identified electrostatic clamping as a potentially significant contributor to failure mechanisms in microengines. This work describes MEMS devices, FA techniques, failure modes, and examples of FA of MEMS.

We present results using near-infrared (NIR) cameras to study emission. characteristics of common defect classes for integrated circuits (ICs). The cameras are based on a liquid nitrogen cooled HgCdTe imaging array with high quantum efficiency and very low read noise. The array was developed for infrared astronomy and has high quantum efficiency in the wavelength range from 0.8 to 2.5 µm. For comparison, the same set of samples used to characterize the performance of the NIR camera were studied using a non-intensified, liquidnitrogen- cooled, slow scan CCD camera (with a spectral range from 400-1100 nm). Our results show that the NIR camera images all of the defect classes studied here with much shorter integration times than the cooled CCD, suggesting that photon emission beyond 1 µm is significantly stronger than at shorter wavelengths.

Fluorescent microthermal imaging (FMI) involves coating a sample surface with a thin fluorescent film that, upon exposure to UV light source, emits temperature-dependent fluorescence [1-7]. The principle behind FMI was thoroughly reviewed at the ISTFA in 1994 [8, 9]. In two recent publications [10,11], we identified several factors in film preparation and data processing that dramatically improved the thermal resolution and sensitivity of FMI. These factors include signal averaging, the use of base mixture films, film stabilization and film curing. These findings significantly enhance the capability of FMI as a failure analysis tool. In this paper, we show several examples that use FMI to quickly localize heat-generating defects ("hot spots"). When used with other failure analysis techniques such as focused ion beam (FIB) cross sectioning and scanning electron microscope (SEM) imaging, we demonstrate that FMI is a powerful tool to efficiently identify the root cause of failures in complex ICs. In addition to defect localization, we use a failing IC to determine the sensitivity of FMI (i.e., the lowest power that can be detected) in an ideal situation where the defects are very localized and near the surface.

We present the results of recent failure analysis of an advanced, 0.5 um, fully planarized, triple metallization CMOS technology. A variety of failure analysis (FA) tools and techniques were used to localize and identify defects generated by wafer processing. These include light (photon) emission microscopy (LE), fluorescent microthermal imaging (FMI), focused ion beam cross sectioning, SEM/voltage contrast imaging, resistive contrast imaging (RCI), and e-beam testing using an IDS-5000 with an HP 82000. The defects identified included inter- and intra-metal shorts, gate oxide shorts due to plasma processing damage, and high contact resistance due to the contact etch and deposition process. Root causes of these defects were determined and corrective action was taken to improve yield and reliability.