Literature DB >> 21386406

Modeling collective charge transport in nanoparticle assemblies.

Milovan Suvakov1, Bosiljka Tadić.   

Abstract

Mapping the assembled patterns of nanoparticles onto networks (mathematical graphs) provides a way for quantitative analysis of the structure effects on the physical properties of the assembly. Here we review the network modeling of the conduction with single-electron tunneling mechanisms in the assembled nanoparticle films. Simulations of the conduction predict the nonlinear current-voltage curves in different classes of the nanoparticle networks. Furthermore, the numerical analysis reveals how the I(V) nonlinearity is related to the collective charge fluctuations along the conducting paths through the sample, and stresses the role of the topology and quenched charge disorder.

Mesh:

Year:  2010        PMID: 21386406     DOI: 10.1088/0953-8984/22/16/163201

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  2 in total

1.  Magnetisation Processes in Geometrically Frustrated Spin Networks with Self-Assembled Cliques.

Authors:  Bosiljka Tadić; Miroslav Andjelković; Milovan Šuvakov; Geoff J Rodgers
Journal:  Entropy (Basel)       Date:  2020-03-14       Impact factor: 2.524

2.  Hidden geometries in networks arising from cooperative self-assembly.

Authors:  Milovan Šuvakov; Miroslav Andjelković; Bosiljka Tadić
Journal:  Sci Rep       Date:  2018-01-31       Impact factor: 4.379

  2 in total

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