Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibers. Their value comes from diverse properties that are largely determined by their monomers—the single chemical units—that make up a polymer. Unfortunately, it can be challenging to control the chemical behavior of monomers during manufacturing to achieve a desired outcome.
Machine learning helps optimize polymer production
