AI-driven polymer discovery could replace years of trial and error with closed-loop testing

In the realm of materials science, there is a plethora of datasets and tools at our disposal—the issue is how to effectively use these resources in harmony. Researchers at the Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, have identified major bottlenecks holding back artificial intelligence-driven polymer innovation and created a system that integrates multiple tools (such as polymer databases, predictive models, AI agents and automated laboratories).