2021
DOI: 10.1021/acs.jpclett.0c03642
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Thermodynamic Insights into Polymorphism-Driven Lithium-Ion Storage in Monoelemental 2D Materials

Abstract: Monoelemental two-dimensional materials (borophene, silicene, etc.) are exciting candidates for electrodes in lithium-ion batteries because of their ultralight molar mass. However, these materials' lithium-ion binding mechanism can be complex as the inherited polymorphism may induce phase changes during the charge−discharge cycles. Here, we combine geneticalgorithm-based bottom-up and stochastic top-down structure searching techniques to conduct thermodynamic scrutiny of the lithiated compounds of 2D allotrope… Show more

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Cited by 6 publications
(13 citation statements)
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“…21,22 We assess the thermodynamic suitability of cationborophene compounds by combining a bottom-up evolutionary structure-searching and a top-down random structure-searching algorithm. While a monolayer of boron has been demonstrated as an excellent candidate for lithium-ion storage, 9 we find that the results are less promising for sodium-ion storage due to the relatively high formation energies and phase deformation upon adsorption in contrast to previous studies. 23 However, the monolayer honeycomb phase of borophene was found to be a highly reliable anode material for magnesium-ion storage with good formation energy (−0.14 eV/atom) and high specific capacity (3648.54 mAh/g) at the composition ratio of 0.5.…”
Section: ■ Introductioncontrasting
confidence: 77%
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“…21,22 We assess the thermodynamic suitability of cationborophene compounds by combining a bottom-up evolutionary structure-searching and a top-down random structure-searching algorithm. While a monolayer of boron has been demonstrated as an excellent candidate for lithium-ion storage, 9 we find that the results are less promising for sodium-ion storage due to the relatively high formation energies and phase deformation upon adsorption in contrast to previous studies. 23 However, the monolayer honeycomb phase of borophene was found to be a highly reliable anode material for magnesium-ion storage with good formation energy (−0.14 eV/atom) and high specific capacity (3648.54 mAh/g) at the composition ratio of 0.5.…”
Section: ■ Introductioncontrasting
confidence: 77%
“…This is based on an evolutionary algorithm featuring local optimization, real-space representation, and flexible physically motivated variation operators. 9 The number of atoms in each structure is kept between 2 and 12 to limit the computational budget as many structures need to be explored for each configuration. After relaxation, only structures with thickness less than 6.5 Å are considered; the thicker structures are assigned high positive energy, and their generation is contained.…”
Section: ■ Computational Detailsmentioning
confidence: 99%
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