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Cited by 720

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Electronic Properties of MoS2 Nanoparticles

Li, Tianshu, Galli, Giulia·2007·The Journal of Physical Chemistry C

Abstract

We present a first principle, theoretical study of MoS 2 nanoparticles that provides a unified explanation of measured photoluminescence spectra and recent STM measurements as a function of size. In addition, our calculations suggest ways to engineer the electronic properties of these systems so as to obtain direct band gap 3D layered nanoparticles or Mo doped metallic nanowires. In particular, we show that single sheet MoS 2 nanoparticles up to ∼3.4 nm show no appreciable quantum confinement effects. Instead, their electronic structure is entirely dominated by surface states near the Fermi level. In 3D nanoparticles, we found a strong dependence of their electronic properties on layer stacking and distance, and we suggest that the observed photoluminescence variation as a function of size originates from the number of planes composing the system. The number of these planes and their distance can be tuned to engineer clusters with direct band gaps, at variance with the bulk. Our results also suggest ways to take advantage of surface states to design metallic nanowires with novel catalytic and thermoelectric properties.

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Metadata

Authors
Li, T., & Galli, G.
Venue
The Journal of Physical Chemistry C
Published
2007-10-04
Volume
111
Issue
44
Pages
16192-16196
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W2089990621
Cited by
720
References
3
FWCI
1.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electronic Properties of MoS2 Nanoparticles. https://app.cochat.ai/papers/10.1021/jp075424v
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Li, T., & Galli, G. (2007). Electronic Properties of MoS2 Nanoparticles. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp075424v

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.