Anisotropic and Outstanding Mechanical, Thermal Conduction, Optical, and Piezoelectric Responses in a Novel Semiconducting Bcn Monolayer Confirmed by First-Principles and Machine Learning

dc.contributor.author Mortazavi, Bohayra
dc.contributor.author Fazel Shojaei
dc.contributor.author Yağmurcukardeş, Mehmet
dc.contributor.author Alexander Shapeev
dc.contributor.author Xiaoying Zhuang
dc.date.accessioned 2022-09-23T06:20:04Z
dc.date.available 2022-09-23T06:20:04Z
dc.date.issued 2022
dc.description.abstract Graphene-like nanomembranes made of the neighboring elements of boron, carbon and nitrogen elements, are well-known of showing outstanding physical properties. Herein, with the aid of density functional theory (DFT) calculations, various atomic configurations of the graphene-like BCN nanosheets are investigated. DFT results reveal that depending on the atomic arrangement, the BCN monolayers may display semimetallic Dirac cone or semiconducting electronic nature. BCN nanosheets are also found to exhibit high piezoelectricity and carrier mobilities with considerable in-plane anisotropy, depending on the atomic arrangement. For the predicted most stable BCN monolayer, thermal and mechanical properties are explored using machine learning interatomic potentials. The room temperature tensile strength and lattice thermal conductivity of the most stable BCN monolayer are estimated to be orientation-dependent and remarkably high, over 78 GPa and 290 W/m.K, respectively. In addition, the thermal expansion coefficient of the monolayer BCN at room temperature is estimated to be −3.2 × 10−6 K−1, which is close to that of the graphene. The piezoelectric response of the herein proposed BCN lattice is also predicted to be close to that of the h-BN monolayer. Presented results highlight outstanding physics of the BCN nanosheets. en_US
dc.identifier.doi 10.1016/j.carbon.2022.08.077
dc.identifier.issn 0008-6223
dc.identifier.scopus 2-s2.0-85137651796
dc.identifier.uri https://doi.org/10.1016/j.carbon.2022.08.077
dc.identifier.uri https://hdl.handle.net/11147/12468
dc.publisher Elsevier en_US
dc.relation.ispartof Carbon en_US
dc.subject h-BCN en_US
dc.subject Machine learning en_US
dc.subject Thermal conductivity en_US
dc.subject Piezoelectric en_US
dc.title Anisotropic and Outstanding Mechanical, Thermal Conduction, Optical, and Piezoelectric Responses in a Novel Semiconducting Bcn Monolayer Confirmed by First-Principles and Machine Learning en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0002-1416-7990
gdc.author.id 0000-0002-1416-7990 en_US
gdc.author.institutional Yağmurcukardeş, Mehmet
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Photonics en_US
gdc.description.endpage 509
gdc.description.scopusquality N/A
gdc.description.startpage 500
gdc.description.volume 200
gdc.description.wosquality Q1
gdc.identifier.openalex W4294335559
gdc.identifier.wos WOS:000860659200005
gdc.index.type WoS
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gdc.oaire.sciencefields 0103 physical sciences
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 0210 nano-technology
gdc.oaire.sciencefields 01 natural sciences
gdc.openalex.collaboration International
gdc.openalex.fwci 5.41206842
gdc.openalex.normalizedpercentile 0.93
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 33
gdc.plumx.crossrefcites 37
gdc.plumx.mendeley 22
gdc.plumx.newscount 1
gdc.plumx.scopuscites 38
gdc.scopus.citedcount 38
gdc.wos.citedcount 40
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