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Revealing the Formation Energy–Exfoliation Energy–Structure Correlation of MAB Phases Using Machine Learning and DFT

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    Functional Inorganic Materials and Devices

    Revealing the Formation Energy–Exfoliation Energy–Structure Correlation of MAB Phases Using Machine Learning and DFT
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    ACS Applied Materials & Interfaces

    Cite this: ACS Appl. Mater. Interfaces 2020, 12, 26, 29424–29431
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    https://doi.org/10.1021/acsami.0c03536
    Published June 4, 2020
    Copyright © 2020 American Chemical Society
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    Abstract

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    MAB phases became popular as ultrahigh-temperature materials with high damage tolerance and excellent electrical conductivity. MAB is used to exfoliate two-dimensional (2D) transition-metal borides (MBenes), which are promising materials for developing next-generation nanodevices. In this report, we explore the correlation between the formation energy, exfoliation energy, and structural factors of MAB phases with orthorhombic and hexagonal crystal symmetries using density functional theory (DFT) and machine learning. For this, we developed three different machine learning models based on the support vector machine, deep neural network, and random forest regressor to study the stability of the MAB phases by calculating their formation energies. Our support vector machine and deep neural network models are capable of predicting the formation energies with mean absolute errors less than 0.1 eV/atom. MAB phases with the chemical formulas, MAB, M2AB2, and M3AB4, where M = Nb, Mn, Ti, W, V, Sc, Cr, Hf, Mo, Zr, Ta, and Fe, and A = group III-A elements (Al, Ga, In and Tl), were investigated to find out the formation energy and their structure correlation. We demonstrated that the stability of a MAB phase for a given transition-metal decreases when the A element changes from Al to Tl. DFT revealed that M–A and B–A bond strength strongly correlates with the stability of MAB phases. In addition, the exfoliation possibility of 2D MBenes becomes higher when the A element changes from Al to Tl because of weakening of M–A and B–A bonds.

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    Supporting Information

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsami.0c03536.

    • Feature set for SVM and DNN models, definition of MAE and R2, DFT-calculated exfoliation energies with vdW interactions, SVM model-predicted formation energies and DFT-calculated structure properties for hexagonal MAB phases, DFT-calculated exfoliation energies for MnB, and Cr3B4 2D materials exfoliated from respective hexagonal bulk MAB phases (PDF)

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    ACS Applied Materials & Interfaces

    Cite this: ACS Appl. Mater. Interfaces 2020, 12, 26, 29424–29431
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acsami.0c03536
    Published June 4, 2020
    Copyright © 2020 American Chemical Society
    Request reuse permissions

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