Literature DB >> 28972620

The influence of the concentration and adsorption sites of different chemical groups on graphene through first principles simulations.

M Z Tonel1, I V Lara, I Zanella, S B Fagan.   

Abstract

Carbon nanomaterials are one of the most promising nanostructures for adsorption of chemical species due to their high superficial area and possible interesting applications. A systematic study of chemical groups attached on graphene surfaces is necessary in order to evaluate the influence of the type and number of functionalizations on the resulting properties of a derived system. In this work, first principles simulations were used to evaluate the physical effects of different concentrations of chemical groups -COOH, -COH, -OH, -O- or -NH2 adsorbed on the graphene surface. The functionalizations occur from one up to three chemical groups and either in the same or different carbon rings. It is observed that significant changes occur in the adsorption and electronic properties due to the hybridization and symmetry points of interaction of the chemical groups. Then, the results indicate that it is possible to control the properties of the desired system through the type, concentration and binding site of the functional groups attached to the graphene monolayer.

Entities:  

Year:  2017        PMID: 28972620     DOI: 10.1039/c7cp05549h

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  4 in total

1.  Theoretical study of small aromatic molecules adsorbed in pristine and functionalised graphene.

Authors:  Mariana Zancan Tonel; Ivana Zanella; Solange Binotto Fagan
Journal:  J Mol Model       Date:  2021-05-31       Impact factor: 1.810

2.  Density functional theory study of π-aromatic interaction of benzene, phenol, catechol, dopamine isolated dimers and adsorbed on graphene surface.

Authors:  Elizane E de Moraes; Mariana Z Tonel; Solange B Fagan; Marcia C Barbosa
Journal:  J Mol Model       Date:  2019-09-05       Impact factor: 1.810

3.  Ab initio simulations of black and blue phosphorene functionalised with chemical groups for biomolecule anchoring.

Authors:  Cristian M Ledur; Ivana Zanella; Solange B Fagan
Journal:  J Mol Model       Date:  2021-11-08       Impact factor: 1.810

4.  BIGDML-Towards accurate quantum machine learning force fields for materials.

Authors:  Huziel E Sauceda; Luis E Gálvez-González; Stefan Chmiela; Lauro Oliver Paz-Borbón; Klaus-Robert Müller; Alexandre Tkatchenko
Journal:  Nat Commun       Date:  2022-06-29       Impact factor: 17.694

  4 in total

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