Exploring tensile piezoelectricity and bending flexoelectricity of diamane monolayers by machine learning

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Brahmanandam Javvaji
  • Bohayra Mortazavi
  • Xiaoying Zhuang
  • Timon Rabczuk

Research Organisations

External Research Organisations

  • Tongji University
  • Bauhaus-Universität Weimar
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Details

Original languageEnglish
Pages (from-to)558-567
Number of pages10
JournalCARBON
Volume185
Early online date15 Sept 2021
Publication statusPublished - 15 Nov 2021

Abstract

The investigation of electromechanical properties for the newly added two-dimensional materials is challenging and enthralling. In this work, we consider studying the piezoelectric and flexoelectric properties of diamane monolayers, firstly proposed by density functional simulations and later synthesized in experiments. For this aim, we develop machine learning-based inter-atomic moment-tensor potentials along with the charge-dipole model to calculate the electrical polarization under mechanical deformations in AB stacked Janus diamane monolayers with hetero halogenation. The developed potential parameters efficiently predict the AB stacked non-Janus diamane lattices and their AA stacked counterpart lattices. Tensile stretching of Janus diamanes produces the in-plane piezoelectricity along with the generation of significant out-of-plane polarization. The piezoelectricity is absent in AB stacked non-Janus diamanes. The increase in structural asymmetry in C4ClH monolayer under bending deformation increase the total polarization by the local electric fields originated from the π − σ and the σ − σ electron interactions. The flexoelectricity of C4ClH is lower than C4FH due to the removal of its high out-of-plane piezoelectric contribution. The Janus diamane monolayer has promising electromechanical energy applications due to its high out-of-plane piezoelectric coefficient, which is nearly 15 times higher than Janus transitional metal dichalcogenide monolayer.

Keywords

    Flexoelectricity, Janus diamane monolayer, Machine learning, Piezoelectricity

ASJC Scopus subject areas

Cite this

Exploring tensile piezoelectricity and bending flexoelectricity of diamane monolayers by machine learning. / Javvaji, Brahmanandam; Mortazavi, Bohayra; Zhuang, Xiaoying et al.
In: CARBON, Vol. 185, 15.11.2021, p. 558-567.

Research output: Contribution to journalArticleResearchpeer review

Javvaji B, Mortazavi B, Zhuang X, Rabczuk T. Exploring tensile piezoelectricity and bending flexoelectricity of diamane monolayers by machine learning. CARBON. 2021 Nov 15;185:558-567. Epub 2021 Sept 15. doi: 10.1016/j.carbon.2021.09.007
Javvaji, Brahmanandam ; Mortazavi, Bohayra ; Zhuang, Xiaoying et al. / Exploring tensile piezoelectricity and bending flexoelectricity of diamane monolayers by machine learning. In: CARBON. 2021 ; Vol. 185. pp. 558-567.
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AU - Zhuang, Xiaoying

AU - Rabczuk, Timon

N1 - Funding Information: The authors gratefully acknowledge the sponsorship from the ERC Starting Grant COTOFLEXI (Grant No. 802205). Authors also acknowledge the support of the cluster system team at the Leibniz Universitat of Hannover, Germany.

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