ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,510,449, issued on Dec. 30, was assigned to California Institute of Technology (Pasadena, Calif.).

"Quantification of shear stress field using tuft visualization and deep learning" was invented by Morteza Gharib (Altadena, Calif.), Emile K. Oshima (Pasadena, Calif.) and Pablo Hermoso Moreno (London).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for estimating the shear wall stress of an aerodynamic surface using a tuft visualization technique combined with a physics-informed neural network. The tuft visualization technique is a simplified method of generating velocity profile data of an aerodynamic model that can subsequently be used...