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dc.contributor.authorIatalese, M.
dc.contributor.authorColuccio, M. L.
dc.contributor.authorOnesto, V.
dc.contributor.authorAmato, F.
dc.contributor.authorDi Fabrizio, Enzo M.
dc.contributor.authorGentile, F.
dc.date.accessioned2018-09-03T13:27:01Z
dc.date.available2018-09-03T13:27:01Z
dc.date.issued2019
dc.identifier.citationIatalese M, Coluccio ML, Onesto V, Amato F, Di Fabrizio E, et al. (2018) Relating the rate of growth of metal nanoparticles to cluster size distribution in electroless deposition. Nanoscale Advances. Available: http://dx.doi.org/10.1039/c8na00040a.
dc.identifier.issn2516-0230
dc.identifier.doi10.1039/c8na00040a
dc.identifier.urihttp://hdl.handle.net/10754/628482
dc.description.abstractElectroless deposition on patterned silicon substrates enables the formation of metal nanomaterials with tight control over their size and shape. In the technique, metal ions are transported by diffusion from a solution to the active sites of an autocatalytic substrate where they are reduced as metals upon contact. Here, using diffusion limited aggregation models and numerical simulations, we derived relationships that correlate the cluster size distribution to the total mass of deposited particles. We found that the ratio ξ between the rates of growth of two different metals Image ID:c8na00040a-t1.gif depends on the ratio γ between the rates of growth of clusters formed by those metals Image ID:c8na00040a-t2.gif through the linearity law ξ = 14(γ − 1). We then validated the model using experiments. Different from other methods, the model derives k using as input the geometry of metal nanoparticle clusters, decoded by SEM or AFM images of samples, and a known reference.
dc.publisherRoyal Society of Chemistry (RSC)
dc.relation.urlhttp://pubs.rsc.org/en/content/articlehtml/2018/na/c8na00040a
dc.rightsThis Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.titleRelating the rate of growth of metal nanoparticles to cluster size distribution in electroless deposition
dc.typeArticle
dc.contributor.departmentMaterial Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalNanoscale Advances
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionAkka Technologies, Via Giacomo Leopardi 6, 40122 Bologna, Italy
dc.contributor.institutionDepartment of Experimental and Clinical Medicine, University Magna Graecia, 88100 Catanzaro, Italy
dc.contributor.institutionDepartment of Electrical Engineering and Information Technology, University Federico II, 80125 Naples, Italy
kaust.personDi Fabrizio, Enzo M.
refterms.dateFOA2018-09-04T11:46:17Z


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This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence
Except where otherwise noted, this item's license is described as This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence