ALEXANDRIA, Va., March 5 -- United States Patent no. 12,242,779, issued on March 4, was assigned to University of Science and Technology Beijing (Beijing).
"Machine learning-based method for designing high-strength high-toughness steel" was invented by Yu Yan (Beijing), Ruize Sun (Beijing), Mingxing Lu (Beijing), Yanjing Su (Beijing) and Lijie Qiao (Beijing).
According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning-based method for designing a high-strength high-toughness steel, including: (S1) obtaining data and filling in missing parts to form a data set; (S2) selecting feature data in the data set to form a standard data set; (S3) constructing two machine learning models of the high-strength high-t...