A machine learning-based approach to discover nanocomposite films for biodegradable plastic alternatives

This article on Phys org discusses a new approach by researchers at the University of Maryland to discover nanocomposite films that could serve as biodegradable alternatives to conventional plastics. Utilizing advanced machine learning methods combined with molecular science, the team, led by Professor Po-Yen Chen, has developed a process that accelerates the identification of natural materials for use in manufacturing and packaging. This approach integrates automated robotics with machine learning to significantly reduce research time and resource use, promising a sustainable solution for reducing plastic pollution. The full article can be read here: