Study Harnesses Made-to-Order Design to Pair Properties to Materials
Oak Ridge National Laboratory researchers used an invertible neural network, a type of artificial intelligence that mimics the human brain, to select the most suitable materials for desired properties, such as flexibility or heat resistance, with high chemical accuracy.
Astudy led by researchers at the U.S. Dept. of Energy’s Oak Ridge National Laboratory could help make materials design as easy as point-and-click.