Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Advanced Methodologies in Materials Design
This chapter explores advanced methodologies for selecting experiments and simulations in materials design, with a focus on improving regression methods for predictive accuracy. The discussion includes the use of Bayesian statistics and neural networks, as well as collaboration with Carnegie Mellon University on algorithm identification.
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