ALEXANDRIA, Va., Nov. 18 -- United States Patent no. 12,475,280, issued on Nov. 18, was assigned to ANSYS INC. (Canonsburg, Pa.).
"Generative networks for physics based simulations" was invented by Derek Christopher Hill (Grantham, N.H.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Simulations of products during the design of the products can use solvers that are based on trained neural networks, and these solvers can provide results about the design of the product that can predict performance, failures, fatigue and other potential problems with the design. The neural network can include a generative neural network that is trained with a discretized version of a partial differential equation (PDE) that prov...