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Chiral, nematic, and dimer states in quantum spin chains
Abstract
A phase diagram of the one-dimensional S=1/2 frustrated ferromagnetic Heisenberg model in a magnetic field is studied via a bosonization technique. Besides the ferromagnetic phase, two different nematiclike phases with additional symmetry breaking of reflections about a bond or about a site are mapped out. The prediction is made of possible fourfold degeneracy of a ground state at H=0 for sufficiently strong second-neighbor coupling.
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Citations
Cited by
Vector chiral and multipolar orders in the spin-12frustrated ferromagnetic chain in magnetic field
Hikihara, T., Kecke, L., Momoi, T., & Furusaki, A. (2008) · Physical Review B · doi:10.1103/physrevb.78.144404 · Cited by 306
Unusual ordered phases of highly frustrated magnets: a review
Starykh, O. A. (2015) · Reports on Progress in Physics · doi:10.1088/0034-4885/78/5/052502 · Cited by 273
Possible observation of quantum spin-nematic phase in a frustrated magnet
Kohama, Y., Ishikawa, H., Matsuo, A., Kindo, K., Shannon, N., & Hiroi, Z. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821969116 · Cited by 88
Metadata
- Authors
- Chubukov, A. V.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 1991-09-01
- Volume
- 44
- Issue
- 9
- Pages
- 4693-4696
- ISSN
- 0163-1829 (ISSN-L)
- 1095-3795
- OpenAlex
- W1989675361
- Cited by
- 247
- References
- 0
- FWCI
- 0.21
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Chiral, nematic, and dimer states in quantum spin chains. https://app.cochat.ai/papers/10.1103/physrevb.44.4693
- The paper
- Chubukov, A. V. (1991). Chiral, nematic, and dimer states in quantum spin chains. Physical Review B. https://doi.org/10.1103/physrevb.44.4693
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.