Influence of the network geometry on electron transport in nanoparticle networks

K. D. Benkstein*, Nikos Kopidakis, Jao Van De Lagemaat, A. J. Frank

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)


Computer simulations are applied to understand the influence of network geometry on the electron transport dynamics in random nanoparticle networks, and the predicted results are compared with those measured in one class of random nanoparticle networks: dye-sensitized nanocrystalline TiO2 solar cells. The model is applicable to all classes of random nanoparticle networks, such as highly disordered quantum dot arrays. The random nanoparticle networks are simulated by the step-wise condensation of a diffusion-limited aggregate. The fractal dimension of the nanoparticle films was estimated from the simulations to be 2.28, which is in quantitative agreement with gas-sorption measurements of TiO2 nanoparticle films. Electron transport on the computer-generated networks is simulated by random walk. The experimental measurements and random-walk simulations are found to be in quantitative agreement. For both a power-law dependence of the electron diffusion coefficient D on the film porosity P is found as described by the relation: D ∝

Original languageEnglish
Title of host publicationQuantum Dots, Nanoparticles and Nanowires
EditorsPhilippe Guyot-Sionnest
Place of PublicationPittsburgh, PA
PublisherMaterials Research Society
Number of pages6
ISBN (Print)155899727X
Publication statusPublished - 2003
Externally publishedYes
Event2003 Materials Research Society Fall Meeting - Boston, United States
Duration: 1 Dec 20035 Dec 2003

Publication series

NameMaterials Research Society Symposium Proceedings
PublisherMaterials Research Society
ISSN (Print)0272-9172


Conference2003 Materials Research Society Fall Meeting
Country/TerritoryUnited States


Dive into the research topics of 'Influence of the network geometry on electron transport in nanoparticle networks'. Together they form a unique fingerprint.

Cite this