Episode 17: Perfecting Polymers Processing

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:

• Manivannan, G. (1997). UV-vis spectroscopy as an analytical tool for the characterization [LINK] .
• Tieke, B. (2005). Makromolekulare Chemie. 2nd ed. [LINK]
• Kratochvil P. Notes on Differential Refractometry and Light Scattering of Polymer or Copolymer Solutions in Mixed Solvents. [LINK]
• Barrios VA,FTIR–An Essential Characterization Technique for Polymeric Materials. Infrared Spectroscopy-Materials Science, Engineering and Technology [LINK]

Bonus Episode

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!

If you have questions or feedback please send us emails at materialism.podcast@gmail.com or connect with us on social media: Instagram, Twitter.

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

Support Materialism: A Materials Science Podcast by contributing to their tip jar: https://tips.pinecast.com/jar/materialism

Find out more at https://materialism.pinecast.co