Research into chemical discovery, testing optimization and analysis can be a labor-intensive and time-consuming process. With many of the stages requiring manual preparation, sampling, and analysis, ...

This interview takes a closer look at how polymer characterization supports smarter decisions from early development to full-scale manufacturing.

Machine learning (ML) models train on existing material-property data to predict these desired outcomes. Additionally, the team can generate new polymers, whose properties are forecasted with ML ...

A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and the models have already produced a new dielectric material that held up ...

PoLARIS is a $20 million NSF-funded project creating a cloud-based lab that combines AI, robotics and polymer science. The goal is for AI and robots to autonomously run experiments. The project could ...

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