Neural networks facilitate optimization in the search for new materials

When searching through theoretical lists of possible new materials for particular applications, such as batteries or other energy-related devices, there are often millions of potential materials that could be considered, and multiple criteria that need to be met and optimized at once. Now, researchers at MIT have found a way to dramatically streamline the discovery process, using a machine learning system.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2yb3zhI

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