Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods

Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods

Lead-free dielectric energy storage BaTiO3 ceramics are eco-friendly and high-performance energy storage materials with excellent storage stability, high power density, ultra-fast discharge and charge speed, excellent mechanical strength and long service life. These materials have potential applicat...

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Bibliographic Details
Main Authors: Yas Al-Hadeethi, Taoreed O. Owolabi, Mouftahou B. Latif, Bahaaudin M. Raffah, Ahmad H. Milyani, Saheed A. Tijani
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Results in Engineering
Subjects:
High-entropy ceramics
Particle swarm optimization
Extreme learning machine
Energy storage efficiency
Support vector regression
BaTiO3 perovskite
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025027653
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