
Episode 60: Materials Modeling at General Electric
Materialism: A Materials Science Podcast
Can We Do Machine Learning to Prevent Cracking?
A GE team has been trying to figure out what's causing cracks in complex alloys. They 3D printed 40 different compositions, which is not that many, and they did that using a set of 24 different print parameters. And as they explored those, sure enough, some did better and some did worse. The researchers then used an ML model based on the data to see if it could learn from these results.
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