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Understanding Quantum Confinement of Charge Carriers in Layered 2D Hybrid Perovskites

Open access
Even, Jacky, Pedesseau, Laurent, Katan, Claudine·2014·ChemPhysChem

Abstract

Layered hybrid organic perovskites (HOPs) structures are a class of low‐cost two‐dimensional materials that exhibit outstanding optical properties, related to dielectric and quantum confinement effects. Whereas modeling and understanding of quantum confinement are well developed for conventional semiconductors, such knowledge is still lacking for 2D HOPs. In this work, concepts of effective mass and quantum well are carefully investigated and their applicability to 2D HOPs is discussed. For ultrathin layers, the effective‐mass model fails. Absence of superlattice coupling and importance of non‐parabolicity effects prevents the use of simple empirical models based on effective masses and envelope function approximations. An alternative method is suggested in which 2D HOPs are treated as composite materials, and a first‐principles approach to the calculation of band offsets is introduced. These findings might also be relevant for other classes of layered 2D functional materials.

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Metadata

Authors
Even, J., Pedesseau, L., & Katan, C.
Venue
ChemPhysChem
Publisher
Wiley
Published
2014-09-05
Volume
15
Issue
17
Pages
3733-3741
ISSN
  • 1439-4235 (ISSN-L)
  • 1439-7641
OpenAlex
W2166602976
Cited by
283
References
2
FWCI
7.25
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Understanding Quantum Confinement of Charge Carriers in Layered 2D Hybrid Perovskites. https://app.cochat.ai/papers/10.1002/cphc.201402428
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Even, J., Pedesseau, L., & Katan, C. (2014). Understanding Quantum Confinement of Charge Carriers in Layered 2D Hybrid Perovskites. ChemPhysChem. https://doi.org/10.1002/cphc.201402428

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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.