Sintering characteristics and microwave dielectric properties of ultralow-loss SrY2O4 ceramics

He, Guoqiang; Ma, Xinyue; Liu, Yanjun; He, Yinghan; Xiao, Yaqi; Qu, Xin; Deng, Shan; Liu, Kaiyang; Wang, Xi; Zhou, Shicheng; Li, Qing; Dai, Zhengli; Wu, You; Zhou, Huanfu; Zhou, Huanfu

doi:10.1016/j.ceramint.2022.04.081

Cited by 24 publications

(3 citation statements)

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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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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show abstract

“…As a result, microwave dielectric ceramics with low dielectric constants and high Qf values have received considerable attention. [4][5][6] To date, low dielectric constant materials such as alumina (Al 2 O 3 ), [7] AB 2 O 4 spinel systems, [8][9][10][11][12] and garnet types [13,14] have been investigated. Among them, the magnesium aluminate (MgAl 2 O 4 ) spinel has attracted significant attention owing to its great potential in low-permittivity microwave ceramics (ε r = 7.9).…”

Section: Introductionmentioning

confidence: 99%

“…To date, low dielectric constant materials such as alumina (Al 2 O 3 ), [ 7 ] AB 2 O 4 spinel systems, [ 8–12 ] and garnet types [ 13,14 ] have been investigated. Among them, the magnesium aluminate (MgAl 2 O 4 ) spinel has attracted significant attention owing to its great potential in low‐permittivity microwave ceramics ( ε r = 7.9).…”

Section: Introductionmentioning

confidence: 99%

Ultra‐high Quality Factor of (Zn_2/3Nb_1/3)³⁺ Co‐substitution MgAl₂O₄ Microwave Dielectric Ceramics

Qi,

Yang,

Lai

et al. 2023

Adv Eng Mater

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Herein, nominal compositions of MgAl2–x(Zn2/3Nb1/3)xO4 (x = 0.00, 0.04, 0.08, 0.12, 0.16, 0.20, 0.30, 0.40, and 0.50) ceramics are synthesized using a solid‐phase reaction method. The (Mg/Zn)Al2O4 solid solution and second‐phase Mg4Nb2O9 greatly improve the microwave dielectric properties of the samples. Moreover, the second phase, ionic polarizability, and relative density affect the dielectric constant (εr) value. The quality factor (Qf) value is correlated with the packing fraction, achieving a maximum value of ≈563 000 GHz at x = 0.40. The temperature coefficient of the resonant frequency (τf) value is negatively correlated with the B‐site bond value. When x = 0.40, the nominal composition MgAl1.6(Zn2/3Nb1/3)0.4O4 ceramic exhibits good microwave dielectric properties: εr = 9.06, ultrahigh Qf = 563 000 GHz, and τf = –45 ppm °C−1.

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Atomic Scale Insight into the Oxidation Mechanism of Nb/Ta‐Doped Ti₃SiC₂/Al₂O₃ Ceramics

Li,

Gao,

2024

Adv Eng Mater

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The low oxidation resistance of Ti3SiC2/Al2O3 composites limits their applications as high‐temperature structural materials. To improve the oxidation resistance, Nb and Ta were introduced into the substrate in this study. The Nb/Ta‐doped Ti3SiC2/Al2O3 composite showed superior oxidation resistance than clean Ti3SiC2/Al2O3 following the oxidation process at 800–1000 °C for 100 h. The oxidation mechanism was determined via first‐principles calculations. The oxidation process of the composite was controlled by the inward diffusion of O and outward diffusion of Ti. When Nb/Ta elements are doped, their larger atomic radii and stronger binding produce a higher diffusion barrier for O and Ti atoms, which prevents element migration and reduces the thickness of the oxidation layers.This article is protected by copyright. All rights reserved.

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Sintering characteristics and microwave dielectric properties of ultralow-loss SrY2O4 ceramics

Cited by 24 publications

References 33 publications

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

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

Ultra‐high Quality Factor of (Zn_2/3Nb_1/3)³⁺ Co‐substitution MgAl₂O₄ Microwave Dielectric Ceramics

Atomic Scale Insight into the Oxidation Mechanism of Nb/Ta‐Doped Ti₃SiC₂/Al₂O₃ Ceramics

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Sintering characteristics and microwave dielectric properties of ultralow-loss SrY2O4 ceramics

Cited by 24 publications

References 33 publications

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

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

Ultra‐high Quality Factor of (Zn2/3Nb1/3)3+ Co‐substitution MgAl2O4 Microwave Dielectric Ceramics

Atomic Scale Insight into the Oxidation Mechanism of Nb/Ta‐Doped Ti3SiC2/Al2O3 Ceramics

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Product

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Ultra‐high Quality Factor of (Zn_2/3Nb_1/3)³⁺ Co‐substitution MgAl₂O₄ Microwave Dielectric Ceramics

Atomic Scale Insight into the Oxidation Mechanism of Nb/Ta‐Doped Ti₃SiC₂/Al₂O₃ Ceramics