The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Origin of the Variation of Exciton Binding Energy in Semiconductors
Abstract
Excitonic effects are crucial to optical properties, and the exciton binding energy E(b) in technologically important semiconductors varies from merely a few meV to about 100 meV. This large variation, however, is not well understood. We investigate the relationship between the electronic band structures and exciton binding energies in semiconductors, employing first-principles calculations based on the density functional theory and the many-body perturbation theory using Green's functions. Our results clearly show that E(b) increases as the localization of valence electrons increases due to the reduced electronic screening. Furthermore, E(b) increases in ionic semiconductors such as ZnO because, contrary to the simple two-level coupling model, it has both conduction and valence band edge states strongly localized on anion sites, leading to an enhanced electron-hole interaction. These trends are quantized by electronic structures obtained from the density functional theory; thus, our approach can be applied to understand the excitonic effects in complex semiconducting materials.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Electronic excitations: density-functional versus many-body Green’s-function approaches
Onida, G., Reining, L., & Rubio, A. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.601 · Cited by 4,155
Cited by
Electronic Structure of Atomically Precise Graphene Nanoribbons
Ruffieux, P., Cai, J., Plumb, N. C., Patthey, L., Prezzi, D., Ferretti, A., Molinari, E., Feng, X., Müllen, K., Pignedoli, C. A., et al. (2012) · ACS Nano · doi:10.1021/nn3021376 · Cited by 494
Metadata
- Authors
- Dvorak, M., Wei, S.-H., & Wu, Z.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2013-01-02
- Volume
- 110
- Issue
- 1
- Pages
- 016402-016402
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2041117583
- Cited by
- 199
- References
- 1
- FWCI
- 8.22
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Origin of the Variation of Exciton Binding Energy in Semiconductors. https://app.cochat.ai/papers/10.1103/physrevlett.110.016402
- The paper
- Dvorak, M., Wei, S.-H., & Wu, Z. (2013). Origin of the Variation of Exciton Binding Energy in Semiconductors. Physical Review Letters. https://doi.org/10.1103/physrevlett.110.016402
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.