Materialism
An exploration of the past, present, and future of materials science and engineering.
a month ago

Episode 19: Materials Informatics

How can AI and neural networks help us find new materials?

A look into the uses of machine learning and the field of materials informatics. Discussions of the positives and negatives of using machine learning on a project as well as some general tips on how to get started in the field.

If you have questions or feedback please send us emails at [email protected] Make sure to subscribe to the show on iTunes, Spotify, google play, and now Youtube or wherever you find your podcasts. If you like the show and want to help us reach more people, consider leaving a review - it helps us improve and it exposes new people to the show. Finally, check out our Instagram page @materialism.podcast and connect with us to let us know what new material you’d like to hear about next. We’d like to give a shoutout to AlphaBot for allowing us to use his music within the podcast. Check him out on Spotify. And as always a special thanks to Kolobyte who created the intro and outro for our podcast. He makes a ton of really cool synthwave music which you can check out at kolobyte.bandcamp.com. Also visit our sponsors for this episode www.materialstoday.com and matmatch.com. This episode was made in partnership with ACERS visit them at www.ceramics.org.

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Materialism Team: Taylor Sparks (co-creator, co-host, production), Andrew Falkowski (co-creator, co-host, production), Jared Duffy (production, marketing, and editing)

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