Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/214306
Title: MXenes à la Carte: Tailoring the Epitaxial Growth Alternating Nitrogen and Transition Metal Layers
Author: Gouveia, J.D.
Morales García, Ángel
Viñes Solana, Francesc
Gomes, J.R.B.
Illas i Riera, Francesc
Keywords: Adsorció
Dissociació (Química)
Energia
Adsorption
Dissociation
Energy
Issue Date: 1-Dec-2022
Publisher: American Chemical Society
Abstract: A high-throughput analysis based on density functional simulations underscores the viable epitaxial growth of MXenes by alternating nitrogen and metal adlayers. This is supported by an exhaustive analysis of a number of thermodynamic and kinetic thresholds belonging to different critical key steps in the course of the epitaxial growth. The results on 18 pristine N- and C-based MXenes with M2X stoichiometry reveal an easy initial N2 fixation and dissociation, where N2 adsorption is controlled by the MXene surface charge and metal d-band center and its dissociation controlled by the reaction energy change. Furthermore, formation energies indicate the plausible formation of N-terminated M2XN2 MXenes. Moreover, the further covering with metal adlayers is found to be thermodynamically driven and stable, especially when using early transition metal atoms. The most restrictive analyzed criterion is the N2 adsorption and dissociation at nearly full N-covered adlayers, which is yet achievable for almost half of the explored M2X seeds. The present results unfold the possibility of expanding, controlling, and tuning the composition, width, and structure of the MXene family.
Note: Reproducció del document publicat a: https://doi.org/10.1021/acsnano.2c04029
It is part of: ACS Nano, 2022, vol. 16, num.8, p. 12541-12552
URI: http://hdl.handle.net/2445/214306
Related resource: https://doi.org/10.1021/acsnano.2c04029
ISSN: 1936-0851
Appears in Collections:Articles publicats en revistes (Ciència dels Materials i Química Física)
Articles publicats en revistes (Institut de Química Teòrica i Computacional (IQTCUB))

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