Computational Modeling for the Ag Nanoparticle Coalescence Process: A Case of Surface Plasmon Resonance
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Other documents of the author: Faccin, Giovani M.; San-Miguel, Miguel A.; Andres, Juan; Longo, Elson; da Silva, Edison
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comunitat-uji-handle2:10234/7013
comunitat-uji-handle3:10234/8638
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Title
Computational Modeling for the Ag Nanoparticle Coalescence Process: A Case of Surface Plasmon ResonanceDate
2017-03Publisher
American Chemical SocietyBibliographic citation
FACCIN, Giovani M., et al. Computational Modeling for the Ag Nanoparticle Coalescence Process: A Case of Surface Plasmon Resonance. The Journal of Physical Chemistry C, 2017, vol. 121, no 12, p. 7030-7036.Type
info:eu-repo/semantics/articlePublisher version
http://pubs.acs.org/doi/abs/10.1021/acs.jpcc.7b00769Version
info:eu-repo/semantics/acceptedVersionAbstract
Motivated by recent transmission electron microscopy (TEM) experiments on α-Ag2WO4, the coalescence process of Ag nanoparticles (NPs) is investigated using molecular dynamics (MD) simulations. These Ag NPs are formed ... [+]
Motivated by recent transmission electron microscopy (TEM) experiments on α-Ag2WO4, the coalescence process of Ag nanoparticles (NPs) is investigated using molecular dynamics (MD) simulations. These Ag NPs are formed by irradiation of α-Ag2WO4 crystals by electrons from a TEM gun. This behavior can be considered as a clear example of surface plasmon resonance (SPR), in which Ag NP coalescence processes are controlled by dipole–dipole interaction forming larger clusters. The interactions between Ag NPs along the coalescence processes are studied using MD simulations with embedded atom method (EAM) effective potentials for Ag. With these choices of methods, coalescence is studied by addressing different scenarios for the interacting NPs, which all could possibly occur in experiments. [-]
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The Journal of Physical Chemistry C, 2017, vol. 121, no 12Rights
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