Physical Failure Analysis (PFA) is essential for SRAM yield learning, especially in new technologies or FAB transfers. For this to be successful, physical coordinates for tested bitcell failures must be accurately calculated and verified. The timeline for this process can vary dramatically based on the extent and complexity of any issues. This paper details the successful use of fault localization on isolated, voltage sensitive failures to achieve confidence in verification of physical location prior to PFA.

Fault localization using both dynamic laser stimulation and emission microscopy was used to localize the failing transistors within the failing scan chain latch on multiple samples. Nanoprobing was then performed and the source to drain leakage in N-type FinFETs was identified. After extensive detailed characterization, it was concluded that the N-type dopant signal was likely due to projections from the source/drain regions included in the TEM lamella. Datamining identified the scan chain fail to be occurring uniquely for a specific family of tools used during source/drain implant diffusion activation. This paper discusses the processes involved in yield delta datamining of FinFET and its advantages over failure characterization, fault localization, nanoprobing, and physical failure analysis.

Nanoprobing is one of the key characterization techniques for soft defect localization in SRAM. DC transistor performance metrics could be used to identify the root cause of the fail mode. One such case report where nanoprobing was applied to a wafer impacted by significant SRAM yield loss is presented in this paper where standard FIB cross-section on hard fail sites and top down delayered inspection did not reveal any obvious defects. The authors performed nanoprobing DC characterization measurements followed by capacitance-voltage (CV) measurements. Two probe CV measurement was then performed between the gate and drain of the device with source and bulk floating. The authors identified valuable process marginality at the gate to lightly doped drain overlap region. Physical characterization on an inline split wafer identified residual deposits on the BL contacts potentially blocking the implant. Enhanced cleans for resist removal was implemented as a fix for the fail mode.

This paper demonstrates capacitance-voltage (CV) measurements using Nanoprobing to characterize different fails and better understand the defect mode. Three case studies are conducted using the CV technique. DC Nanoprobing measurements are first used to identify the failure mode. Subsequently, CV measurements are employed to further narrow down the root cause, to understand the process mechanism leading to the failure. A pathway to use the CV technique to isolate defects with-in a device under test is also demonstrated. It has been shown that the gate to lightly doped drain CV measurements will be a very useful characterization tool to understand various fail modes. This finding, along with DC measurement, serves to narrow the issue primarily to gate stack work function related matters.

Optical beam induced resistance change (OBIRCH) is a very well-adapted technique for static fault isolation in the semiconductor industry. Novel low current OBIRCH amplifier is used to facilitate safe test condition requirements for advanced nodes. This paper shows the differences between the earlier and novel generation OBIRCH amplifiers. Ring oscillator high standby leakage samples are analyzed using the novel generation amplifier. High signal to noise ratio at applied low bias and current levels on device under test are shown on various samples. Further, a metric to demonstrate the SNR to device performance is also discussed. OBIRCH analysis is performed on all the three samples for nanoprobing of, and physical characterization on, the leakage. The resulting spots were calibrated and classified. It is noted that the calibration metric can be successfully used for the first time to estimate the relative threshold voltage of individual transistors in advanced process nodes.

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.

With increasing complexity involved in advance node semiconductor process development, dependability on parametric test structures has also increased significantly. Test structures play a predominant role throughout the entire development cycle of a product. It becomes very important to understand the root cause of failures at fastest pace to take necessary corrective actions. The use of ultra low K dielectrics for back end of line wafer build for advanced nodes created significant constraints on conventional beam imaging methods for fault isolation. This paper provides a streamlined process flow for root cause identification on shorts on advanced 20 nm and sub-20 nm technologies. Three unique cases are presented to demonstrate three typical situations identified in the process flow. They are blown capacitors, gate leakage, and resistance ladder short isolation.

This paper presents unique case studies describing the use of EBAC technique. Front as well as backside EBAC on relatively smaller nets is presented to isolate logic fails which are otherwise hard to capture using conventional failure analysis techniques.

With increasing complexity involved in advance node semiconductor process development, dependability on parametric test structures has also increased significantly. Test structures play a predominant role throughout the entire development cycle of a product. They are used to understand the process windows and also help to monitor the health of a line. This work provides a process flow sheet for root cause identification on chain opens on advanced 20 nm and sub-20 nm technologies setting a standard guideline for a specific category fail type. It provides a consistent way of attack in a much more streamlined fashion. Further, dependability on TEM rather than convention FIB cross-sections provides shortest time to root cause identification. Three typical cases encountered are discussed to demonstrate the idea: embedded chain opens by electron beam absorbed current (EBAC) isolation, chains opens at level by EBAC isolation, and chains opens at level by passive voltage contrast isolation.

Test structure characterization plays a predominant role throughout the entire development cycle of a product. They are used to understand the process windows and also help to monitor the health of line (HOL). One of the key principles in successfully monitoring the HOL is to establish passing and failing electrical criteria to various test structures. This paper shows electrical and physical characterization of one such test structure. Further, a novel way of establishing electrical signatures to specific defect fail mode finger prints for early identification and monitoring of process-related defects is proposed.