US Patent Issued to ANSYS on Nov. 25 for "Method and system for generative design based on deep learning and topology optimization" (California, Pennsylvania Inventors)

ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,481,873, issued on Nov. 25, was assigned to ANSYS INC. (Canonsburg, Pa.).

"Method and system for generative design based on deep learning and topology optimization" was invented by Jay Pathak (Pleasanton, Calif.) and Rishikesh Ranade (Bridgeville, Pa.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A generative machine learning model, such as a convolutional neural network (CNN), can be trained with solutions from a topology optimization solver for a solution for a topology of a set of structures so that the generative machine learning model can generate a plurality of alternative designs for a structure that are alternative topology optimizations (for t...