Accelerated design of AgNbO<sub>3</sub>-based ceramics with high energy storage performance <i>via</i> machine learning
Li Ma, Fei Han, Ruoxuan Che, Meng Liu, Zhenyong Cen, Xiyong Chen, Toyohisa Fujita, Yang Bai, Nengneng Luo
Abstract
The machine learning technique is promoted to accelerate the development of high-performance AgNbO 3 -based AFE ceramics. Guided by the predicted values, a high W rec of 7.0 J cm −3 is achieved experimentally.
Topics & Concepts
Materials scienceCeramicEnergy storageEnergy (signal processing)Process engineeringNuclear engineeringComposite materialThermodynamicsEngineeringMathematicsStatisticsPhysicsPower (physics)Electrical and Thermal Properties of Materials