Altair’s white paper shows how AI is revolutionizing polymer development by replacing slow, iterative trial-and-error with predictive and prescriptive analytics. Traditional methods rely heavily on expert judgment and costly lab testing, limiting speed and optimization. Using Altair RapidMiner and HyperStudy, material scientists can build machine learning models to forecast polymer properties, then apply optimization algorithms to design novel formulations that balance performance, cost, and sustainability. This workflow accelerates discovery, ensures better material candidates, and scales beyond polymers, enabling faster innovation across advanced materials.

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