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Saturday, April 13, 2019

Deep learning tests billions of graphene combos in 2 days | Artificial Intelligence - Futurity: Research News

Researchers are applying one of the first uses of deep learning to the field of materials science.

Deep learning refers to the technology computers use to intelligently perform tasks such as recognizing language and driving autonomous vehicles, inform Eric Stann, Research News Strategist at News Bureau - University of Missouri.


Photo: Getty Images

Discovering how atoms—such as a single layer of carbon atoms found in graphene, one of the world’s strongest materials—work to create a solid material is currently a major research topic in the field of materials science, or the design and discovery of new materials.

“You can train a computer to do what it would take many years for people to otherwise do,” says lead researcher Yuan Dong, a research assistant professor of mechanical and aerospace engineering at the University of Missouri. “This is a good starting point.”
Dong worked with Jian Lin, an assistant professor of mechanical and aerospace engineering, to determine if there was a way to predict the billions of possibilities of material structures created when non-carbon atoms replace certain carbon atoms in graphene...

Researchers envision future uses of this artificial intelligence assistive technology in designing many different graphene related or other two-dimensional materials. These materials could be applied to the construction of LED televisions, touch screens, smartphones, solar cells, missiles, and explosive devices.
Read more...

Additional resources
Original Study - DOI: 10.1038/s41524-019-0165-4 

Source: Futurity: Research News