Episode 20: Materials Informatics

What if a materials lab on Earth could screen a hundred alloys a day with little input from the scientist? Taylor and Andrew sit down with Joseph Krause, CEO and co-founder of Radical AI, to dig into what it takes to build a self-driving lab and why most of the field is still mis ...  Show more

What if you could know which batteries are worth building before you actually build them? Taylor and Andrew sit down with Dr. Qichao Hu, founder of SES AI, to explore how artificial intelligence is reshaping battery discovery and his experience in the field. From his decision to ...  Show more

How do you invent a new material? On this episode, Neil deGrasse Tyson, Gary O’Reilly, and Chuck Nice discuss the science of invention, biomimicry, and answer cosmic queries about materials science from our patrons with professor Dr. Jud Ready. 

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In this episode, we review the high-yield topic of Material Properties ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠from the Basic Science section.

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In this episode, I discuss the architecture of a “machine learning house”, representing the skills and learnings you can use as foundations to build your data science career. Additional materials: www.superdatascience.com/474 

In this episode, we review the high-yield topic of Material Properties from the Basic Science section.

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