Abstract

In many process steps of integrated circuits (IC’s) fabrication, silicon wafers are coming in contact with process liquids such as ultra pure water (UPW) and aqueous and non-aqueous chemical mixtures. During these process steps, liquid-borne particle contamination can deposit on the wafer surface. Particle contamination from UPW is an important factor influencing random yield loss of IC’s [ ]. A number of yield models are used to predict yields including Poisson, Murphy, Seeds, and negative binomial models [ , ]. However, these models are based on the assumption that particles are randomly deposited on the wafer surface [ ].

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