Friday, December 18, 2020

Machine learning boosts the search for 'superhard' materials

Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials such as diamonds. Now researchers have reported a machine learning model that can accurately predict the hardness of new materials, allowing scientists to more readily find compounds suitable for use in a variety of applications.

from Latest Science News -- ScienceDaily https://ift.tt/37w084s

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Study finds untreated sleep apnea doubles Parkinson’s risk

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