Journal of Inorganic Materials, Volume. 37, Issue 12, 1321(2022)

Curie Temperature Prediction of BiFeO3-PbTiO3-BaTiO3 Solid Solution Based on Machine Learning

Zhixiang JIAO*, Fanhao JIA, Yongchen WANG, Jianguo CHEN, Wei REN, and Jinrong CHENG
Figures & Tables(10)
Schematic diagram of ABO3 perovskite structure
Relationship between Tc and μ or μ*A/B
Correlations between the Tc and the candidate descriptors
RMSE and MaxAE of μ and μ*A/B varied with dimension under different operation modes
RMSE and MaxAE of two descriptors (a) and three descriptors (b) as a function of dimension
Effects of the changes of descriptor and model dimension on the RMSE and MaxAE
Experimental Tc and prediction Tc for training set (black square) and test set (red circle)
  • Table 1. Basic descriptor and related physical meaning

    View table
    View in Article

    Table 1. Basic descriptor and related physical meaning

    FeatureNamePhysical attributes
    μReduced massReduced mass of atoms
    A/BIonic radiusShannon ion radius
    A/B_CCovalent radiusThe covalent bond radius of an atom
    A/B_EElectronegativityElectronegativity of atoms
    A/B_NVNValenceThe number of electrons of unfilled orbitals
    A/B_NUNUfilledThe number of electrons of unfilled orbitals
    A/B_SSpace group numberingThe serial number of the element's space group in the space group table
    Ti,Fe,Ba,Pb,BiElement contentElement content ratio of metal ions
  • Table 2. The test sets after adjusting descriptor parameters

    View table
    View in Article

    Table 2. The test sets after adjusting descriptor parameters

    SampleTc/℃ (y) μʹ (x1) A/ (x2) A/B_NU (x3) Ba (x4) Pb (x5) Bi (x6)
    Bi0.62Pb0.23Ba0.15Fe0.62Ti0.38O35470.28210.38820.50360.07500.11500.3100
    Bi0.6Pb0.25Ba0.15Fe0.6Ti0.4O35400.26900.46060.50000.07500.12500.3000
    Bi0.54Pb0.31Ba0.15Fe0.54Ti0.46O35020.22950.67890.48970.07500.15500.2700
  • Table 3. Results of external verification set

    View table
    View in Article

    Table 3. Results of external verification set

    SampleExperim-ental Tc/℃ Predi-ction Tc/℃ Abso-lute error/℃ Rela-tive-error/%
    Bi0.62Pb0.23Ba0.15Fe0.62Ti0.38O3547544.912.090.38
    Bi0.6Pb0.25Ba0.15Fe0.6Ti0.4O3540536.123.880.72
    Bi0.54Pb0.31Ba0.15Fe0.54Ti0.46O3502492.529.481.89
Tools

Get Citation

Copy Citation Text

Zhixiang JIAO, Fanhao JIA, Yongchen WANG, Jianguo CHEN, Wei REN, Jinrong CHENG. Curie Temperature Prediction of BiFeO3-PbTiO3-BaTiO3 Solid Solution Based on Machine Learning[J]. Journal of Inorganic Materials, 2022, 37(12): 1321

Download Citation

EndNote(RIS)BibTexPlain Text
Save article for my favorites
Paper Information

Category: EDITORIAL

Received: Feb. 17, 2022

Accepted: --

Published Online: Jan. 12, 2023

The Author Email: Zhixiang JIAO (jzxxxzj@163.com)

DOI:10.15541/jim20220080

Topics