2002
DOI: 10.1016/s0009-2614(02)00820-5
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Curvature-induced polarization in carbon nanoshells

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Cited by 208 publications
(183 citation statements)
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“…Such a potential may not be accurate because the interaction might be influenced by the nanotube curvature, which could change the localization of the electron density. In fact, the curvature-induced charge redistribution and polarization in curved carbon nanotubes have been recognized, 107 and the force field parameters of the gascarbon interaction potential in carbon nanotubes have been found to be curvature dependent. 108 To account for the influence of surface curvature, an accurate interaction potential obtained, for example, from quantum chemical calculations should be used.…”
Section: Discussionmentioning
confidence: 99%
“…Such a potential may not be accurate because the interaction might be influenced by the nanotube curvature, which could change the localization of the electron density. In fact, the curvature-induced charge redistribution and polarization in curved carbon nanotubes have been recognized, 107 and the force field parameters of the gascarbon interaction potential in carbon nanotubes have been found to be curvature dependent. 108 To account for the influence of surface curvature, an accurate interaction potential obtained, for example, from quantum chemical calculations should be used.…”
Section: Discussionmentioning
confidence: 99%
“…First principles calculations of the purely electronic contribution to the total flexoelectric response (including possible surface conditioned contributions) were also performed by Dumitrica et al [43] and Kalinin and Meunier [5] for carbon systems.…”
Section: Microscopic Calculations Of Bulk Flexoelectricitymentioning
confidence: 99%
“…Atomic properties have also been used empirically to predict several experimental properties including for example, the pK a of weak acids from the atomic energy of the acidic hydrogen [96], a wide array of biological and physicochemical properties of the amino acids, including the genetic code itself, and the effects of mutation on protein stability [60], protein retention times [97], HPLC column capacity factors of high-energy materials [98], NMR spin-spin coupling constants from the electron delocalization indices [99,100], simultaneous consistent prediction of five bulk properties of liquid HF in MD simulation [101], classification of atom types in proteins with future potential applications in force-field design [60,[102][103][104], reconstructing large molecules from transferable fragments or atoms in molecules [60,[105][106][107][108][109][110][111][112][113][114][115][116][117][118][119] (see also Chapters 11 and 12), atomic partitioning of the molecular electrostatic potential [120][121][122], prediction of hydrogenbond donor capacity [123] and basicity [124], and to provide an atomic basis for curvature-induced polarization in carbon nanotubes and nanoshells [125].…”
Section: The Use Of Qtaim Atomic Propertiesmentioning
confidence: 99%