Unlocking the secrets of chemical bonding with machine learning — ScienceDaily

A new machine learning approach offers important insights into catalysis, a fundamental process that makes it possible to reduce the emission of toxic exhaust gases or produce essential materials like fabric. In a report published in Nature Communications, Hongliang Xin, associate professor of chemical engineering at Virginia Tech, and his team of researchers developed a […]

Unlocking the secrets of chemical bonding with machine learning

Image of the Bayeschem approach to unraveling the orbitalwise nature of chemical bonding at metal surfaces. Credit: Virginia Tech A new machine learning approach offers important insights into catalysis, a fundamental process that makes it possible to reduce the emission of toxic exhaust gases or produce essential materials like fabric. In a report published in […]