Next Article in Journal
Nannochloropsis oceanica Cultivation in Pilot-Scale Raceway Ponds—From Design to Cultivation
Next Article in Special Issue
Opal-Like Photonic Structuring of Perovskite Solar Cells Using a Genetic Algorithm Approach
Previous Article in Journal
A Low Torque Ripple Direct Torque Control Method for Interior Permanent Magnet Motor
Previous Article in Special Issue
Coherent Exciton Dynamics in Ensembles of Size-Dispersed CdSe Quantum Dot Dimers Probed via Ultrafast Spectroscopy: A Quantum Computational Study
Open AccessReview

Computational Atomistic Modeling in Carbon Flatland and Other 2D Nanomaterials

Institute of Condensed Matter and Nanosciences, Université Catholique de Louvain (UCLouvain), Equipe des Charbonniers, Chemin des Étoiles 8, 1348 Louvain-la-Neuve, Belgium
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Appl. Sci. 2020, 10(5), 1724;
Received: 4 February 2020 / Revised: 21 February 2020 / Accepted: 24 February 2020 / Published: 3 March 2020
(This article belongs to the Special Issue State of the Art of Nanosciences in Belgium)
As in many countries, the rise of nanosciences in Belgium has been triggered in the eighties in the one hand, by the development of scanning tunneling and atomic force microscopes offering an unprecedented possibility to visualize and manipulate the atoms, and in the other hand, by the synthesis of nano-objects in particular carbon nanostructures such as fullerene and nanotubes. Concomitantly, the increasing calculating power and the emergence of computing facilities together with the development of DFT-based ab initio softwares have brought to nanosciences field powerful simulation tools to analyse and predict properties of nano-objects. Starting with 0D and 1D nanostructures, the floor is now occupied by the 2D materials with graphene being the bow of this 2D ship. In this review article, some specific examples of 2D systems has been chosen to illustrate how not only density functional theory (DFT) but also tight-binding (TB) techniques can be daily used to investigate theoretically the electronic, phononic, magnetic, and transport properties of these atomically thin layered materials. View Full-Text
Keywords: nanoscience; 2D materials; computational modeling nanoscience; 2D materials; computational modeling
Show Figures

Graphical abstract

MDPI and ACS Style

Champagne, A.; Dechamps, S.; Dubois, S.M.-M.; Lherbier, A.; Nguyen, V.-H.; Charlier, J.-C. Computational Atomistic Modeling in Carbon Flatland and Other 2D Nanomaterials. Appl. Sci. 2020, 10, 1724.

AMA Style

Champagne A, Dechamps S, Dubois SM-M, Lherbier A, Nguyen V-H, Charlier J-C. Computational Atomistic Modeling in Carbon Flatland and Other 2D Nanomaterials. Applied Sciences. 2020; 10(5):1724.

Chicago/Turabian Style

Champagne, Aurélie; Dechamps, Samuel; Dubois, Simon M.-M.; Lherbier, Aurélien; Nguyen, Viet-Hung; Charlier, Jean-Christophe. 2020. "Computational Atomistic Modeling in Carbon Flatland and Other 2D Nanomaterials" Appl. Sci. 10, no. 5: 1724.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop