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dc.contributor.authorMypati, Sreemannarayana
dc.contributor.authorDhanushkodi, Shankar
dc.contributor.authorMcLaren, Michael
dc.contributor.authorDocoslis, Aris
dc.contributor.authorPeppley, Brant
dc.contributor.authorBarz, Dominik
dc.date.accessioned2020-06-08T13:45:29Z
dc.date.available2020-06-08T13:45:29Z
dc.date.issued2018-05-29
dc.identifier.citation(1) Mypati, S.; Dhanushkodi, S. R.; McLaren, M.; Docoslis, A.; Peppley, B. A.; Barz, D. P. J. Optimized Inkjet-Printed Silver Nanoparticle Films: Theoretical and Experimental Investigations. RSC Adv. 2018, 8 (35), 19679–19689. https://doi.org/10.1039/C8RA03627F.en
dc.identifier.urihttp://hdl.handle.net/1974/27892
dc.description.abstractWe study the influence of inkjet printing scheme and sintering parameter on the electrical resistivity of multi-layer silver nanoparticle films. A central composite Design Of Experiments (DOE) is employed to maximize experimental efficiency and improve the statistical significance of parameter estimates. The resulting mathematical correlations allow to interpret the influence of the print and sintering parameters. Detailed inspection of the correlations reveals the existence of local extrema and indicates that a structured approach such as the DOE would be significantly more effective for fabricating films with a minimum of resistivity. Furthermore, we modify the well-known Fuchs–Sondheimer Mayadas–Shatzkes model to correlate the resistivity of a multi-layer nanoparticle film with the sintering temperature and time. The modified model uses literature data but one constant inferred from two experiments. After model adjustment, the resistivities of films fabricated with different parameters can be predicted with good accuracy. This validation tremendously increases applicability and relevance of the model.en
dc.language.isoenen
dc.publisherRoyal Society of Chemistryen
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/
dc.titleOptimized inkjet-printed silver nanoparticle films: theoretical and experimental investigationsen
dc.typejournal articleen
dc.identifier.doihttps://doi.org/10.1039/C8RA03627F
project.funder.identifierhttp://dx.doi.org/10.13039/501100000038en
project.funder.nameNatural Sciences and Engineering Research Council of Canada || Ontario Early Researcher Awarden


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