US Patent Issued to Dow Global Technologies on June 10 for "Hybrid machine learning methods of training and using models to predict formulation properties" (American, Dutch, British, Belgian Inventors)

ALEXANDRIA, Va., June 18 -- United States Patent no. 12,327,617, issued on June 10, was assigned to Dow Global Technologies LLC (Midland, Mich.).

"Hybrid machine learning methods of training and using models to predict formulation properties" was invented by Fabio Aguirre Vargas (Lake Jackson, Texas), Sukrit Mukhopadhyay (Midland, Mich.), Jerome Claracq (Ghent, Belgium), Bart Rijksen (Middelburg, Netherlands), Valeriy V. Ginzburg (Midland, Mich.), Paul Cookson (Cheadle, Great Britain), Alix Schmidt (Midland, Mich.) and Shachit Shankaran Iyer (Pearland, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods include training a machine learning module to predict one or more target product properties for a...