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A review of ULSI failure analysis techniques for DRAMs. Part II: Defect isolation and visualization

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Abstract

In this paper the basic techniques for defect isolation and visualization used in physical failure analysis of trench technique dynamic random access memories (DRAMs) are reviewed. The methods described are state-of-the-art for DRAM failure analysis down to 0.14 μm feature size and beyond. In addition to defect isolation and defect visualization from the front side of a die, the backside preparation approach is reviewed. Beginning with basic sample preparation techniques including mechanical polishing, wet and dry etching and focused ion beam (FIB) applications advantages and disadvantages of various techniques are discussed. In the second section of the paper different types of optical microscopes are covered as well as scanning and transmission electron microscopes. The imaging capabilities of the FIB systems are included in this section. Finally, some applications of scanning probe techniques especially for dopant measurements and thin oxide characterization are described.

Introduction

The failure analysis (FA) process starts with electrical characterization of the failure. The more accurately the electrical measurements can localize the fail in the circuitry of the chip, the higher is the success rate for a following destructive, physical analysis. Besides electrical analysis, other non-destructive methods, e.g., emission microscopy, are available to localize the electrical fail to a physical location on the chip. A summary of methods to localize a defect is given by Benstetter et al. [1].

After the non-destructive pre-localization of a failure, a subsequent delayering of the chip is performed to determine the root cause of the electrical failure. A generic cross-section of a dynamic random access memory (DRAM) chip is given in Fig. 1 [1]. Physical failure analysis (PFA) reverses the production process by subsequently removing the different layers of the chip. In Fig. 2, a flow chart demonstrates the sequence of decapsulation and deprocessing steps with corresponding inspection and analysis procedures. The electrical pre-characterization of the fail and the experience of the FA engineer determine the specific analysis method for a failing chip. Griep et al. [2] report the use of defect simulation to determine the best preparation procedure for a given electrical fail signature, following a general trend towards computer-based expert systems.

Section snippets

Defect isolation: preparation methods

A major part of PFA is the deprocessing of the integrated structure in order to isolate physical defects [3]. Four major techniques are available:

  • mechanical polishing,

  • wet chemical etching,

  • plasma etching,

  • focused ion beam (FIB) milling.

The following chapters will describe the main applications and the advantages/disadvantages of the different techniques. Examples will be given for applications. The choice of the deprocessing method is based on electrical and process data, which often narrow

Backside preparation approach

The recently developed new packaging types such as flip-chip and lead-on-chip dies, together with the increasing number of metal layers, initiated a focus on backside analysis. Driven by the new packaging types the application of backside deprocessing spread fast and became an alternative to be considered for most FA analysis. The main new challenge for this approach is to remove the bulk silicon. Further analysis is then performed using all the methods described earlier in 2 Defect isolation:

Summary

This paper reviews the basic techniques for defect isolation and visualization used in PFA of trench technique DRAMs. The basic sample preparation techniques including mechanical polishing, wet and dry etching and FIB applications are discussed with their advantages and disadvantages. Examples show some typical application for these different techniques. The second section of the paper describes the basic defect visualization techniques. Different types of optical microscopes are covered as

Acknowledgements

The authors are grateful to Carole Graas (Infineon Technologies) for reviewing this paper and her constructive inputs. The authors thank Loren Hahn and Joe Myers for their help with all FIB related issues, Rick Kontra and Christy Johnson for performing the TEM work and their critical review of the respective part of this paper. Further, Phil Kazuba and Leon Moszkowicz for performing the AFM and SCM work and their input for this paper on this subject. Ron Danyew, Tim Pollock, Bob Latimer and

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