The prediction of energy storage parameters for (Ba0.85Ca0.15) (Ti0.9Zr0.1) O3 ceramic using artificial neural networks

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Authors: Dina A. Naser, Abd El-razek Mahmoud, Mohamed H. Essai Ali, G.A. Gamal
Cited by: 1
References: 19

Fields of Study & Subjects

Ferroelectric and Piezoelectric Materials Dielectric materials and actuators Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
Ceramics International
Publisher
Elsevier BV
Volume
52
Issue
7
Pages
9533–9542
Publication date
13 January 2026
Language
EN