Thermal Laser Stimulation (TLS) is employed extensively in semiconductor device fault isolation techniques such as TIVA (Thermal Induced Voltage Alteration), OBIRCH (Optical Beam Induced Resistance Change), SDL (Soft Defect localization), CPA (Critical Parameter Analysis), LADA (Laser Assisted Device Alteration), and LVI (Laser Voltage Imaging), etc. To investigate the TLS effects on 7nm FinFET transistor parameters, several transistors of 7nm FinFET inline ET (Electrical Test) macros were tested while employing TLS of various energy values. The test was done in linear mode so that the joule heating caused by the electrical current would be minimized. The experimental results showed that both NFETs and PFETs experienced increased Ioff (Off current) and Sub_Vt_lin_slope (Subthreshold slope), and decreased Ion (On current) and Vt_lin (Threshold voltage) due to elevated temperature of the transistor from TLS. Higher laser power caused greater effects on transistor parameters. The temperature increase on a transistor by TLS depends on the amount of laser energy transferred to, absorbed by, and dispersed by the transistor area. Factors such as the efficient coupling of the SIL (Solid Immersion Lens) with the Silicon backside surface, the transistor size, and the local layout around the transistor will greatly affect the amount of heat delivered to a particular transistor, even while using the same laser power. Thus, setting the laser power for fault isolation with TLS should consider these factors. Our experimental results also showed that the alteration of transistor parameters under TLS was not permanent if the laser power was carefully selected. It should be noticed that during dynamic fault isolation, a transistor may be switching between off, linear mode, and/or saturation mode. The temperature increase on the transistor under TLS may be higher than anticipated due to joule heating if the transistor operation is not confined to the linear region only. Experiments on transistors operating in saturation mode under TLS can be the subject of future work. The results obtained from these experiments can still establish guidelines for laser power settings to be used in the related fault isolation techniques for devices manufactured at the 7nm node so as to achieve non-destructive fault isolation.

Failure analysis for Static Random Access Memory (SRAM) is the major activity in any microelectronic failure analysis lab. Originating from SRAM array structure, SRAM failure can be simple as single bit, paired bit or quad bit failures, whose defect is located at the failure location, or complicated as logic type failure involving WL or BL patterns or entire blocks, whose defect is often not at the failure location. For such SRAM logic type failures, failure analysis is more challenging and detailed fault isolation is necessary prior to physical failure analysis. This paper has demonstrated how to use SRAM decoder scheme knowledge, detailed layout tracing and Photon Emission Microscope (PEM) analysis to deal with the challenges and find the root causes for several cases of SRAM logic type failures.

High performance source/drain (S/D) stress-memorization technology (SMT) has been previously demonstrated to enhance electron mobility in leading edge SRAM NMOS designs. Dislocations initiating from SMT induced stacking faults cause electrical fails in the device. Transmission electron microscopy (TEM) results show that these dislocations can be reduced by controlling certain processing steps following SMT processing.

Root cause analysis of frequency sensitive “soft” failures in SRAM arrays pose unusual challenges to the failure analyst. Conventional atomic force probe (AFP) DC measurements cannot reliably identify the failure source. The employment of tester based schmoo screening have been shown to correlate with AFP AC quantitative capacitance measurements for the first time. The technique of Nanoprobe Capacitance-Voltage Spectroscopy (NCVS) at contact level (CA) for localization has been previously described [1,2,3]. By exploiting the dC/dV component of the NCVS signal shown in Figure 1 and integrating this output, a quantitative capacitance versus voltage measurement can be demonstrated. This quantitative capacitance measurement identified a frequency sensitve horizontal pair failure (HPF) in the SRAM array. Subsequent process vintage analysis identified the source and eliminated these frequency sensitive HPF characterisics. Given the sensitive nature of these fails, conventional physical analysis methods of TEM EELS, and cross section scanning capacitance analysis were not successful in finding the root cause. This underlies a paradigm shift in failure analysis. Electrical measurements may be the only means to identify a process problem and follow-up process vintage analysis is required to solution the root cause.