Finding new functional materials is always tricky. But searching for very specific properties among a relatively small family of known materials is even more difficult.
But a team from Northwestern Engineering and Los Alamos National Laboratory found a workaround. The group developed a novel workflow combining machine learning and density functional theory calculations to create design guidelines for new materials that exhibit useful electronic properties, such as ferroelectricity and piezoelectricity.
To read more, click here.