Researchers at Carnegie Mellon refine our approach to materials discovery with advanced machine learning 

December 10, 2019 |

In Pennsylvania, researchers at Carnegie Mellon University, with support from the DOE and the National Science Foundation, are developing a machine learning algorithm that can play into the discovery of new catalysts. Through the development and implementation of novel machine learning algorithms, the rate at which researchers can discover new, effective catalysts will increase exponentially. The discovery of new catalysts often means that we are able to create and perfect new materials, which can be used in future products, fuels, and just about everything else. It becomes orders of magnitude to achieve such advancements with alloys as the placement of a single atom can have immense performance implications. The researchers intend to gather enough data from experiments to decide what configurations are more likely to work in the future.

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