Making a polymer sample is one thing, but churning out large batches of consistent product brings a host of challenges. In this episode we interview Alex Reed, CEO of Fluence Analytics, a company specializing in polymer processing data. By leveraging real-time characterization and data analysis, we can optimize materials production to reduce waste and increase output. Learn how Fluence Analytics is tackling these challenges and more!
Articles for Further Reading:
This episode is sponsored by Matmatch. Check out how they can help you find the perfect material for your next engineering project!
Thanks to Kolobyte and Alphabot for letting us use their music in the show!
Materialism Team: Taylor Sparks (co-host, co-creator), Andrew Falkowski (co-host, co-creator), Jared Duffy production, marketing, and editing), Ramsey Issa (editing assistance).
Keywords: machine learning polymers processing FTIR UV-VIS characterization
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