Using BDA To to Predict SAQP Pitch Walk

A new technical paper titled "Bayesian dropout approximation in deep learning neural networks: analysis of self-aligned quadruple patterning" was published by researchers at IBM TJ Watson Research Center and Rensselaer Polytechnic Institute. Find the technical paper here. Published November 2022.  Open Access. Scott D. Halle, Derren N. Dunn, Allen H. Gabor, Max O. Bloomfield, and Mark Sh... » read more

N7 FinFET Self-Aligned Quadruple Patterning Modeling

Authors: Sylvain Baudot, Sofiane Guissi, Alexey P. Milenin, Joseph Ervin, Tom Schram (IMEC and COVENTOR) In this paper, we model fin pitch walk based on a process flow simulation using the Coventor SEMulator3D virtual platform. A taper angle of the fin core is introduced into the model to provide good agreement with silicon data. The impact on various Self-Aligned Quadruple Patterning proces... » read more