Co-doping Ce3+ and Mn4+ to Induce Pseudo Tetragonal Distortion in CaBi2Nb2O9 for Improved Piezoresponse
CERAMICS INTERNATIONAL(2025)
Abstract
Calcium bismuth niobate (CBN), known for its high Curie temperature (TC), has been investigated as a potential material for vibration sensor due to its ability to operate at elevated temperatures. However, the inherent weakness in piezoresponse of CBN has limited its sensing performance. In this study, a pseudo-tetragonal distortion in CBN was successfully induced by incorporating Ce3+ ions into the (Bi2O2)2+ layers of CBN. This modification led to a change in the interaction between the perovskite and bismuth layers, resulting in enhanced piezoelectric and ferroelectric properties. Further enhancement was achieved by introducing Mn4+ ions into the Ce3+-doped CBN. The co-doped CaBi1.96Ce0.04Nb1.985Mn0.015O9 demonstrated a significantly improved piezoelectric coefficient (d33) of 15.9 pC/N, compared to 6.8 pC/N for pure CBN ceramics, and an increased remnant polarization (Pr) of 20.78 mu C/cm2, compared to the 3.83 mu C/cm2 of the pure material. This work not only deepens the understanding of bismuth-layer-structured ferroelectrics (BLSFs) but also presents a viable co-doping strategy to enhance the piezoresponse in CBN ceramics. This strategy could pave the way for the development of highperformance, high-temperature vibration sensors and potentially lead to the discovery of more novel BLSFs with superior performance.
MoreTranslated text
Key words
Bismuth layer structured ferroelectrics,Calcium bismuth niobate,Piezoelectric coefficient,Pseudo phase boundary,Electrical resistivity
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
1997
被引用294 | 浏览
2005
被引用45 | 浏览
2012
被引用33 | 浏览
2012
被引用61 | 浏览
2012
被引用4 | 浏览
2009
被引用57 | 浏览
2013
被引用46 | 浏览
2016
被引用32 | 浏览
2018
被引用36 | 浏览
2019
被引用54 | 浏览
The Effects of Oxygen Vacancies on the Electrical Properties of W, Ti Doped CaBi2Nb2O9 Piezoceramics
2018
被引用37 | 浏览
2020
被引用34 | 浏览
2021
被引用12 | 浏览
2022
被引用28 | 浏览
2023
被引用16 | 浏览
2023
被引用1 | 浏览
2024
被引用4 | 浏览
2024
被引用4 | 浏览
2024
被引用4 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper