A cofired trilayer architecture to regulate temperature stability while maintaining high-Q: The case study of Ba(Mg1/3Nb2/3)O3 – Mg4Nb2O9 system

Acceleration of optimizing the dielectric properties of (Ca0.7Nd0.2)1−x(Li0.5Nd0.5)xTi1−y(Mg1/3Nb2/3)yO3 with the aid of machine learning

“…Meanwhile, researchers have also noted the coupling relationship among ε r , Q × f, and τ f . 9 Adjusting one of them by changing composition would potentially result in the worsening of the other two parameters. [10][11][12] Due to this seesaw effect, the efficiency of obtaining highperformance ceramics by composition optimization is very low.…”

“…Previous studies have shown that even small variations in composition can dramatically affect the dielectric properties of ceramics, 6–8 suggesting the significant challenge of identifying the optimal composition for achieving the desired properties. Meanwhile, researchers have also noted the coupling relationship among ε r , Q × f , and τ f 9 . Adjusting one of them by changing composition would potentially result in the worsening of the other two parameters 10–12 .…”