Using Feature‐Assisted Machine Learning Algorithms to Boost Polarity in Lead‐Free Multicomponent Niobate Alloys for High‐Performance Ferroelectrics
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DOI: 10.1002/advs.202104569
Abstract: To expand the unchartered materials space of lead‐free ferroelectrics for smart digital technologies, tuning their compositional complexity via multicomponent alloying allows access to enhanced polar properties. The role of isovalent A‐site in binary potassium niobate… read more here.
Keywords: lead free; performance ferroelectrics; niobate alloys; multicomponent ... See more keywords