WeChat Mini Program
Old Version Features

    • Simultaneously Achieved Large Electrocaloric Effect and Broad Working Temperature Range in Transparent Sm-doped 0.88 Pb(Mg 1/3 Nb 2/3 ) O 3-0.12Pbtio 3 Ceramics at Low Electric Field

    Haochen Sun,Yingzhi Meng,Feifei Han,Silin Tang,Xiuyun Lei,Qingqing Ke,Dingyuan Wang,Yisong Bai,Biaolin Peng,Xue Chen,Xiang Niu,Shengguo Lu,Laijun Liu

    CERAMICS INTERNATIONAL（2024）

    Cited 0|Views7
    Abstract
    Electrocaloric refrigeration technology has garnered significant attention due to its potential for next -generation solid-state cooling, which is miniaturized and efficient. However, achieving a substantial electrocaloric effect (ECE) and a wide working temperature range at low electric fields remains a challenge. In this study, a synergistic approach combining domain and defect engineering was used in transparent 0.88 Pb(Mg 1/3 Nb 2/3 )O 3 - 0.12PbTiO 3 - x Sm(0.88PMN-0.12 PT- x Sm) ceramics to improve ECE and temperature stability. Finally, a notable adiabatic temperature change ( Delta T ) of 2.07 K in the x = 0.01 ceramic, with Delta T exceeding 1.0 K across a broad temperature range from 30 to 180 degrees C was achieved. Piezoresponse force microscopy (PFM) and X-ray photoelectron spectroscopy revealed the presence of small domains and appropriate oxygen vacancies as contributors to the enhanced ECE and broad operation temperature range. This work introduces a promising candidate material for electrocaloric refrigeration.
    More
    Translated text
    Key words
    Electrocaloric effect,PMN-PT,Synergistic strategy,Large adiabatic temperature,Broad working temperature range
    求助PDF
    上传PDF
    View via Publisher
    Bibtex
    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
    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
    Summary is being generated by the instructions you defined