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PolyRingene: A novel 2D carbon allotrope explored via first-principles and machine learning interatomic potentials

dc.contributor.authorAlves, Rodrigo A.F.
dc.contributor.authorRodrigues, Hugo X.
dc.contributor.authorLaranjeira, José A.S. [UNESP]
dc.contributor.authorMendonça, Fábio L.L.
dc.contributor.authorSilva, Alysson M.A.
dc.contributor.authorSambrano, Julio R. [UNESP]
dc.contributor.authorRibeiro, Luiz A.
dc.date.accessioned2026-04-28T00:09:48Z
dc.date.issued2025-11-01
dc.description.abstractWe 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.affiliationInstitute of Physics, University of Brasília, Brasília, 70910-900, DF, Brazil
dc.description.affiliationComputational Materials Laboratory, LCCMat, Institute of Physics, University of Brasília, Brasília, 70910-900, DF, Brazil
dc.description.affiliationModeling and Molecular Simulation Group, São Paulo State University (UNESP), School of Sciences, Bauru, 17033-360, SP, Brazil
dc.description.affiliationCollege of Technology, Department of Electrical Engineering, University of Brasília, Brasília, 70910-900, DF, Brazil
dc.description.affiliationCollege of Technology, Department of Mechanical Engineering, University of Brasília, Brasília, 70910-900, DF, Brazil
dc.description.affiliationUnespModeling and Molecular Simulation Group, São Paulo State University (UNESP), School of Sciences, Bauru, 17033-360, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1193798548
dc.identifier.dimensionspub.1193798548
dc.identifier.doi10.1016/j.flatc.2025.100951
dc.identifier.issn2452-2627
dc.identifier.orcid0009-0006-9565-1720
dc.identifier.orcid0000-0001-7100-7304
dc.identifier.orcid0000-0001-6474-5691
dc.identifier.orcid0000-0002-5217-7145
dc.identifier.orcid0000-0001-7468-2946
dc.identifier.urihttps://hdl.handle.net/11449/322796
dc.publisherElsevier
dc.relation.ispartofFlatChem; v. 54; p. 100951
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titlePolyRingene: A novel 2D carbon allotrope explored via first-principles and machine learning interatomic potentials
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationaef1f5df-a00f-45f4-b366-6926b097829b
relation.isOrgUnitOfPublication.latestForDiscoveryaef1f5df-a00f-45f4-b366-6926b097829b
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências, Baurupt

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