Communications of the ACM
ACM Opinion
How Artificial Intelligence Is Supercharging Materials Science
"The combination of hardware, easy access, very powerful computing resources, and new algorithms . . . enables us to make new innovations," says MIT associate professor of materials science and engineering Juejun Hu.
Machine learning and artificial intelligence are increasingly being used in materials science research. For example, MIT associate professor of materials science and engineering Juejun Hu developed an algorithm that enhances the performance of a chip-based spectrometer.
Hu explains what led to his breakthrough spectrometer, and why he is optimistic that machine learning and artificial intelligence are becoming an everyday tool in materials research.
From MIT Materials Research Laboratory
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