As design nodes drop below 45nm, design rules are exploding in number and complexity, making design rule checking (DRC) harder and lengthier. What we have observed across the industry is that the ...

Geographic entity matching is an important means for multi-source spatial data fusion and information association and sharing. Corresponding matching methods have been designed by existing studies for ...

Pattern matching (PM) was first introduced as the semiconductor industry began to shift from simple one-dimensional rule checks to the two-dimensional checks required by sub-resolution lithography.

Pattern matching is best known for its use in detecting lithographic hotspots, but it’s also widely used across all physical verification flows, and has expanded into design-for-manufacturing (DFM) ...

Calibre Pattern Matching allows you to define specific geometric configurations as visual patterns, directly from a design layout. With this visual representation, Calibre Pattern Matching opens up a ...

DNA, when folded into nanostructures with a specific shape, is capable of spacing and arranging binding sites into a complex geometric pattern with nanometre precision. Here we demonstrate a designer ...

This file type includes high resolution graphics and schematics. IC physical verification (i.e., design rule checking or “DRC”) used to be easy. In the good old days, you could run some ...

Python, for all its power and popularity, has long lacked a form of flow control found in other languages—a way to take a value and match it elegantly against one of a number of possible conditions.