• New method makes better predictions of material properties using low quality data

    8 days ago - By Science Daily

    By combining large amounts of low-fidelity data with smaller quantities of high-fidelity data, nanoengineers have developed a new machine learning method to predict the properties of materials with more accuracy than existing models. Crucially, their approach is also the first to predict the properties of disordered materials - those with atomic sites that can be occupied by more than one element, or can be vacant.
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