Related Media Gallery for Teaching computers to intelligently design ‘billions’ of possible materials
April 2nd, 2019
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Computers
At the University of Missouri, researchers in the College of Engineering are applying one of the first uses of deep learning — the technology computers use to intelligently perform tasks such as recognizing language and driving autonomous vehicles — to the field of materials science.
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Jian Lin
Jian Lin worked with Yuan Dong to determine if there was a way to predict the billions of possibilities of material structures created when certain carbon atoms in graphene are replaced with non-carbon atoms. Photo:
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Yuan Dong
Yuan Dong worked with Jian Lin to determine if there was a way to predict the billions of possibilities of material structures created when certain carbon atoms in graphene are replaced with non-carbon atoms. Photo:
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Jianlin Cheng
Jian Lin and Yuan Dong partnered with Jianlin Cheng to input a few thousand known combinations of graphene structures and their properties into deep learning models. Photo:
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