Temperature-Dependent Dielectric Performance and Machine-Learning Predictions of SNBTS1 and SNBTS2 (IMAGE)
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Temperature-dependent performance of the lead-free dielectrics (left) ‘SNBTS1,’ containing 1 mol% tin (Sn), and (right) ‘SNBTS2,’ containing 2 mol% Sn. The colored solid lines represent experimental measurements, while the black dashed lines indicate machine-learning predictions. Both materials maintained high dielectric constants—their ability to store electrical energy—over a broad temperature range, while the predicted results closely reproduced the trends observed experimentally. The lower curves indicate the degree of electrical energy loss.
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© Nature Communications, originally published in Nature Communications
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