Generating synthetic layout patterns by feedforward neural network based variational autoencoders

A computer program product for generating synthetic layout patterns, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• receiving, by a processor, a set of physical design layouts that include a variety of layout patterns for neural network training;
• generating, by the processor, a set of training layout pattern images for the neural network training by performing automatic image capturing on the set of physical design layouts with scripts;
• training, by the processor, a feedforward neural network (FFNN)-based Variational Autoencoder (VAE) with the set of training layout pattern images;
• and
• generating, by the processor using the FFNN-based VAE, new synthetic layout images.

A computer processing system for generating synthetic layout patterns, comprising:

• a memory for storing program code;
• and
• a processor, operatively coupled to the memory, for running program code to
• receive a set of physical design layouts that include a variety of layout patterns for neural network training;
• generate a set of training layout pattern images for the neural network training by performing automatic image capturing on the set of physical design layouts with scripts;
• train a feedforward neural network (FFNN)-based Variational Autoencoder (VAE) with the set of training layout pattern images;
• and
• generate, using the FFNN-based VAE, new synthetic layout images.