Sintering Behavior, Phase Structure, and Microwave Dielectric Properties of Low-Permittivity Li5Al5Zn8Ge9O36 Ceramics

Deng, Shan; Qu, Xin; Xiao, Yaqi; Deng, Haiqing; Gao, Pengxiang; Chen, Xiuli; Zhou, Huanfu

doi:10.1007/s11664-023-10295-z

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Fang and we have conducted in-depth investigations into spinel MWDCs' stoichiometric engineering and have synthesized various Li-based spinels, including Li 2 ATi 3 O 8 (A = Zn, Co, Mg) [8][9][10], Li 2 M 3 Ti 4 O 12 (M = Co, Zn, Mg) [11][12][13]. Additionally, other spinel oxide ceramics such as SrY 2 O 4 [14], BaSm 2 O 4 [15], and Li 5 Al 5 Zn 8 Ge 9 O 36 [16] were also synthesized. All of these materials exhibit promising potential for applications in mobile communication base stations.…”

Section: Introductionmentioning

confidence: 99%

Machine learning enhanced prediction of permittivity of spinel microwave dielectric ceramics compared to traditional C-M calculation

Liu,

Su,

Huang

et al. 2024

Modelling Simul. Mater. Sci. Eng.

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Microwave dielectric ceramic (MWDC) is crucial in advancing the development of 5G technology and the communication field. The prediction or calculation of its properties is of great significance for accelerating the design and development of MWDCs. Therefore, the prediction of permittivity of spinel MWDCs based on machine learning was investigated in this work. Firstly, we collected 280 single-phase spinel MWDC entries and constructed feature engineering, which includes feature generation and feature selection (five dominant features, including Mpo, Dar, Mmbe, Aose and Dgnve, were selected from 208 generated features). Next, seven commonly used algorithms were utilized during the training process of machine learning models. The eXtreme Gradient Boosting (XGBoost) model shows the best performance with R-squared (R2) of 0.9095, Mean Absolute Error (MAE) of 1.02 and Root Mean Square Error (RMSE) of 1.96. Furthermore, all the machine learning models show enhanced prediction (calculation accuracy) of the permittivity of spinel MWDCs compared to the traditional Clausius-Mossotti (C-M) equation, which can provide a guide for the design and development of spinel MWDCs applied for wireless communication.

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