PolyRingene: A novel 2D carbon allotrope explored via first-principles and machine learning interatomic potentials
| dc.contributor.author | Alves, Rodrigo A.F. | |
| dc.contributor.author | Rodrigues, Hugo X. | |
| dc.contributor.author | Laranjeira, José A.S. [UNESP] | |
| dc.contributor.author | Mendonça, Fábio L.L. | |
| dc.contributor.author | Silva, Alysson M.A. | |
| dc.contributor.author | Sambrano, Julio R. [UNESP] | |
| dc.contributor.author | Ribeiro, Luiz A. | |
| dc.date.accessioned | 2026-04-28T00:09:48Z | |
| dc.date.issued | 2025-11-01 | |
| dc.description.abstract | We report the computational design and characterization of PolyRingene, a novel two-dimensional carbon allotrope with a lattice composed of 3-, 4-, 5-, 6-, 8-, and 10-membered rings. First-principles calculations confirm the energetic, dynamical, and thermal stability of this material through phonon dispersion and ab initio molecular dynamics simulations. Electronic structure analysis reveals a metallic character. Mechanical response under uniaxial strain shows anisotropy, with Young’s modulus of 610 GPa along the x-direction and 560 GPa along the y-direction. Fracture occurs at 12% strain, accompanied by the formation of linear atomic carbon chains that bridge the ruptured regions. To enable large-scale simulations, we developed a machine learning interatomic potential (MLIP) trained on density functional theory data. The MLIP accurately reproduces phonon spectra and stress–strain responses, outperforming traditional empirical potentials and demonstrating excellent transferability. | |
| dc.description.affiliation | Institute of Physics, University of Brasília, Brasília, 70910-900, DF, Brazil | |
| dc.description.affiliation | Computational Materials Laboratory, LCCMat, Institute of Physics, University of Brasília, Brasília, 70910-900, DF, Brazil | |
| dc.description.affiliation | Modeling and Molecular Simulation Group, São Paulo State University (UNESP), School of Sciences, Bauru, 17033-360, SP, Brazil | |
| dc.description.affiliation | College of Technology, Department of Electrical Engineering, University of Brasília, Brasília, 70910-900, DF, Brazil | |
| dc.description.affiliation | College of Technology, Department of Mechanical Engineering, University of Brasília, Brasília, 70910-900, DF, Brazil | |
| dc.description.affiliationUnesp | Modeling and Molecular Simulation Group, São Paulo State University (UNESP), School of Sciences, Bauru, 17033-360, SP, Brazil | |
| dc.identifier | https://app.dimensions.ai/details/publication/pub.1193798548 | |
| dc.identifier.dimensions | pub.1193798548 | |
| dc.identifier.doi | 10.1016/j.flatc.2025.100951 | |
| dc.identifier.issn | 2452-2627 | |
| dc.identifier.orcid | 0009-0006-9565-1720 | |
| dc.identifier.orcid | 0000-0001-7100-7304 | |
| dc.identifier.orcid | 0000-0001-6474-5691 | |
| dc.identifier.orcid | 0000-0002-5217-7145 | |
| dc.identifier.orcid | 0000-0001-7468-2946 | |
| dc.identifier.uri | https://hdl.handle.net/11449/322796 | |
| dc.publisher | Elsevier | |
| dc.relation.ispartof | FlatChem; v. 54; p. 100951 | |
| dc.rights.accessRights | Acesso restrito | pt |
| dc.rights.sourceRights | closed | |
| dc.source | Dimensions | |
| dc.title | PolyRingene: A novel 2D carbon allotrope explored via first-principles and machine learning interatomic potentials | |
| dc.type | Artigo | pt |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | aef1f5df-a00f-45f4-b366-6926b097829b | |
| relation.isOrgUnitOfPublication.latestForDiscovery | aef1f5df-a00f-45f4-b366-6926b097829b | |
| unesp.campus | Universidade Estadual Paulista (UNESP), Faculdade de Ciências, Bauru | pt |

