US Patent Issued to Triad National Security on March 31 for "Machine learning generated predictive model to forecast the dynamic flux distributions of ultra-relativistic electrons" (New Mexico Inventors)

ALEXANDRIA, Va., March 31 -- United States Patent no. 12,591,816, issued on March 31, was assigned to Triad National Security LLC (Los Alamos, N.M.).

"Machine learning generated predictive model to forecast the dynamic flux distributions of ultra-relativistic electrons" was invented by Yue Chen (Los Alamos, N.M.), Youzuo Lin (Los Alamos, N.M.), Rafael Pires de Lima (Los Alamos, N.M.) and Saurabh Sinha (Los Alamos, N.M.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes receiving a plurality of data sets, wherein the plurality of data sets includes a measured low-energy electrons that is less than or equal to 1.5 MeV, and wherein the plurality of data sets further includes data associated with s...