Abstract
Based on the experimental data of the isothermal polarization P(T,E) of BaHf0.11Ti0.89O3 bulk ceramic, entropy change (∆S), temperature change (∆T), and heat carrying capacity (∆Q) of the material are evaluated in detail using an artificial neural network (ANN) procedure. As a result, the maximum ECE occurs above TC and shifts to higher temperatures with increasing applied field. The BaHf0.11Ti0.89O3 ceramic exhibits large ECE parameters around the Curie temperature (TC) associated with a relatively broad electrocaloric temperature span. Furthermore, under different electric fields, many figures of merit such as relative cooling power, temperature-averaged entropy change, and normalized refrigerant capacity are explored, making the sample a promising material for green cooling devices. Such figures of merit increase monotonically with the enhancement of the applied field. In addition, the field dependence of the ∆S and ∆T is thoroughly investigated. The master curve and the exponent n controlling the field dependence of both magnitudes confirm the second-order character of the electric phase transition of the sample. The ANN method provides very accurate and fast predictions with a small amount of experimental data. Therefore, this method accelerates the characterization of novel electrocaloric materials by shortening the time necessary for experimentation.
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M’nassri, R., Nofal, M.M., Dannoun, E.M.A. et al. Analysis of the electric field dependence on the electrocaloric properties on BaHf0.11Ti0.89O3 ferroelectric ceramics. Appl. Phys. A 128, 997 (2022). https://doi.org/10.1007/s00339-022-06144-1
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DOI: https://doi.org/10.1007/s00339-022-06144-1