This new strategy is about to revolutionize materials science

Researchers have developed a bold new strategy to optimize the development of new materials. A team of scientists from Los Alamos National Laboratory has released a study that claims a new strategy could be extremely useful in developing new materials. According to a report from UPI, scientists have employed machine learning to cut down the trial-and-error period of testing out new materials that can be used for a wide range of applications. Testing out new materials can be extremely time-consuming. As the chemical makeup of materials intended for different purposes becomes increasingly complex, scientists have begun to feel the weight of a nearly impossible challenge before them. Enter supercomputers. The team at Los Alamos National Laboratory employed an “informatics-based adaptive design strategy” to speed up the process by crunching massive…


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