Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
Published:Mar 11, 2019 18:28
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Kevin Tran, a PhD student at Carnegie Mellon University. The discussion focuses on the application of active learning in the design of materials, specifically for renewable energy fuel cells. The core of the conversation revolves around Tran's research, as published in Nature, which utilizes active learning to discover electrocatalysts for CO2 reduction and H2 evolution. The article also includes a promotional element for an AI conference, offering a free pass to a listener.
Key Takeaways
Reference
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