Scientists at the University of Maryland are deploying artificial intelligence to develop a biodegradable plastic cling wrap. The system optimizes material compositions to reduce waste and extend food shelf life. This application demonstrates how ML accelerates material science discovery. Practitioners can leverage similar workflows to iterate on sustainable polymers faster than traditional trial-and-error methods.