The latest process and challenges of microwave dielectric ceramics based on pseudo phase diagrams

H Yang, S Zhang, H Yang, Q Wen, Q Yang… - Journal of Advanced …, 2021 - Springer
The explosive process of 5G communication evokes the urgent demand of miniaturized and
integrated dielectric ceramics filter. It is a pressing need to advance the development of …

Optimizing and extending ion dielectric polarizability database for microwave frequencies using machine learning methods

J Qin, Z Liu, M Ma, Y Li - npj Computational Materials, 2023 - nature.com
Permittivity at microwave frequencies determines the practical applications of microwave
dielectric ceramics. The accuracy and universality of the permittivity prediction by Clausius …

Materials Development and Potential Applications of Ceramics: New Opportunities and Challenges

Z Yan, Y Gao, H Zhang - Applied Sciences, 2023 - mdpi.com
Ceramics have been an indispensable part of human civilization for thousands of years.
Ceramics, which were initially referred to as pottery or fired clay, have evolved into complex …

AI for dielectric capacitors

RL Liu, J Wang, ZH Shen, Y Shen - Energy Storage Materials, 2024 - Elsevier
Dielectric capacitors, characterized by ultra-high power densities, have been widely used in
Internet of Everything terminals and vigorously developed to improve their energy storage …

XGBoost model for electrocaloric temperature change prediction in ceramics

J Gong, S Chu, RK Mehta… - npj Computational …, 2022 - nature.com
Abstract An eXtreme Gradient Boosting (XGBoost) machine learning model is built to predict
the electrocaloric (EC) temperature change of a ceramic based on its composition (encoded …

Novel ultralow-permittivity BaMg2Al6Si9O30-based microwave dielectric ceramics with self near-zero temperature coefficient of resonant frequency and thermal …

K Du, M Zhou, Z Liu, T Wen, C Yin, Y Cai, X Li… - Journal of the European …, 2023 - Elsevier
Abstract Novel BaMg 2 Al 6 Si 9 O 30-based ceramics were prepared using the traditional
solid-phase reaction method, and this paper presents the fabrication procedure, crystal …

Machine learning aided accelerated prediction and experimental validation of functional properties of K1-xNaxNbO3-based piezoelectric ceramics

S Sapkal, B Kandasubramanian, P Dixit… - Materials Today Energy, 2023 - Elsevier
The functional properties of piezoelectric ceramics are vital to design materials for energy
harvesting applications. In the present study, to accelerate the design process with …

Dielectric constant prediction of perovskite microwave dielectric ceramics via machine learning

Y Ye, Z Ni, K Hu, Y Li, Y Peng, X Chen - Materials Today Communications, 2023 - Elsevier
With the development of communication technology, microwave dielectric ceramics are in
increasingly urgent need. Perovskite ceramics, as a kind of microwave dielectric ceramics …

[HTML][HTML] Enhancing the bandwidth of antennas using polymer composites with high dielectric relaxation

I Calisir, X Yang, EL Bennett, J Xiao, Y Huang - Materials Today Electronics, 2023 - Elsevier
We propose a concept using a frequency-dependent property (dielectric relaxation) of
dielectric materials to enhance the bandwidth of the antenna widely used in wireless …

Thermal conductivity prediction of sintered reaction bonded silicon nitride ceramics using a machine learning approach based on process conditions

R Furushima, Y Nakashima, Y Zhou, K Hirao, T Ohji… - Ceramics …, 2024 - Elsevier
Thermal conductivity (TC) of sintered reaction bonded silicon nitride (SRBSN) ceramics was
predicted from process conditions using support vector regression (SVR) as a machine …