Interpolation schemes for high-throughput prediction of new piezoelectric alloys
ORAL
Abstract
Systematic discovery of materials with optimized properties based on first principles methodologies requires well-defined descriptors, in addition to the automation infrastructure for calculations and data analysis. We have designed a set of computationally affordable descriptors for enhanced piezoelectric performances and analyzed the chemical space for oxides with the perovskite structure. Our results include phase stability for the most promising compositions and ad hoc interpolation schemes that have been exploited to identify 49 alloys with favorable properties.
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Authors
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Rickard Armiento
Massachusetts Institute of Technology
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Boris Kozinsky
Research and Technology Center, Robert Bosch LLC
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Marco Fornari
Central Michigan University
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Gerbrand Ceder
Massachusetts Institute of Technology, Massachusetts Inst of Tech-MIT