Penn State team demonstrates AI-guided piezoelectric ceramic in energy harvester
Image: Primary Penn State-led researchers reported an AI-guided process for identifying piezoelectric ceramic compositions and demonstrated one in a magneto-mechano-electric energy harvester. The selected lead-free composite reached a piezoelectric charge constant of about 440 picocoulombs per newton; crystallographic texturing raised that to roughly 620. The device delivered about 705 microwatts per cubic centimeter, according to the Nature Communications study. The work combined language-model suggestions from prior research with human assessment and hands-on testing.
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