Researchers at Georgia Tech are using AI to accelerate the discovery of next-generation polymers. By employing machine learning models, they can predict polymer properties and design new materials for applications like energy storage, filtration, and recyclable plastics. These AI-driven processes enable faster material discovery, moving from digital predictions to real-world validation. Significant advancements include the development of polymers for capacitors with high energy density and thermal stability. The research highlights the growing industrial adoption of AI in materials science, supported by startups like Matmerize.
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