Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 767

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Quantum Spin Hall Effect in Inverted Type-II Semiconductors

Open access
Liu, Chaoxing, Hughes, Taylor L., Qi, Xiao-Liang, Wang, Kang, Zhang, Shou-Cheng·2008·Physical Review Letters

Abstract

The quantum spin Hall (QSH) state is a topologically nontrivial state of quantum matter which preserves time-reversal symmetry; it has an energy gap in the bulk, but topologically robust gapless states at the edge. Recently, this novel effect has been predicted and observed in HgTe quantum wells and in this Letter we predict a similar effect arising in Type-II semiconductor quantum wells made from InAs/GaSb/AlSb. The quantum well exhibits an "inverted" phase similar to HgTe/CdTe quantum wells, which is a QSH state when the Fermi level lies inside the gap. Due to the asymmetric structure of this quantum well, the effects of inversion symmetry breaking are essential. Remarkably, the topological quantum phase transition between the conventional insulating state and the quantum spin Hall state can be continuously tuned by the gate voltage, enabling quantitative investigation of this novel phase transition.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevlett.100.236601

Cites

7 of 7 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 7 references

Cited by

See all 767

Metadata

Authors
Liu, C., Hughes, T. L., Qi, X.-L., Wang, K., & Zhang, S.-C.
Venue
Physical Review Letters
Published
2008-06-11
Volume
100
Issue
23
Pages
236601-236601
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W1975016429
Cited by
767
References
7
FWCI
5.61
Type
journal article
Language
en
Open access
green

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: Quantum Spin Hall Effect in Inverted Type-II Semiconductors. https://app.cochat.ai/papers/10.1103/physrevlett.100.236601
The paper
Liu, C., Hughes, T. L., Qi, X.-L., Wang, K., & Zhang, S.-C. (2008). Quantum Spin Hall Effect in Inverted Type-II Semiconductors. Physical Review Letters. https://doi.org/10.1103/physrevlett.100.236601

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.