Abstract: According to one exemplary embodiment, a method for robust statistical semiconductor device modeling includes building a semiconductor device model using at least one new device parameter variation, constructing a variation library for the semiconductor device model, and verifying the variation library against measured data from physical semiconductor devices. The variation library is constructed by determining variations of the at least one new device parameter variation and standard device parameters as functions of, for example. sizes and locations of semiconductor devices on semiconductor dies.

Abstract: According to one exemplary embodiment, a method for producing a quality assured semiconductor device model when at least one critical parameter of a semiconductor device process is upgraded includes verifying the quality assured semiconductor device model for consistency against measured data or projected targets. The method further includes verifying the quality assured semiconductor device model for accuracy and consistency when one of a number of critical parameters is varied. The method further includes verifying consistency of the quality assured semiconductor device model against an old semiconductor device model. The method further includes verifying the quality assured semiconductor device model over a range of each of a number of semiconductor device dependencies. The method further includes verifying the quality assured semiconductor device model for digital circuit operation. The method further includes verifying the quality assured semiconductor device model for analog circuit operation.

Abstract: According to one exemplary embodiment, a method for producing a quality assured semiconductor device model when at least one critical parameter of a semiconductor device process is upgraded includes verifying the quality assured semiconductor device model for consistency against measured data or projected targets. The method further includes verifying the quality assured semiconductor device model for accuracy and consistency when one of a number of critical parameters is varied. The method further includes verifying consistency of the quality assured semiconductor device model against an old semiconductor device model. The method further includes verifying the quality assured semiconductor device model over a range of each of a number of semiconductor device dependencies. The method further includes verifying the quality assured semiconductor device model for digital circuit operation. The method further includes verifying the quality assured semiconductor device model for analog circuit operation.

Abstract: According to one exemplary embodiment, a method for robust statistical semiconductor device modeling includes building a semiconductor device model using at least one new device parameter variation, constructing a variation library for the semiconductor device model, and verifying the variation library against measured data from physical semiconductor devices. The variation library is constructed by determining variations of the at least one new device parameter variation and standard device parameters as functions of, for example, sizes and locations of semiconductor devices on semiconductor dies.