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Thermodynamic Bethe ansatz in relativistic models: Scaling 3-state potts and Lee-Yang models
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Citations
Cited by
On space of integrable quantum field theories
Smirnov, F. A., & Zamolodchikov, A. B. (2017) · Nuclear Physics B · doi:10.1016/j.nuclphysb.2016.12.014 · Cited by 642
Self-citationT T ¯ $$ \mathrm{T}\overline{\mathrm{T}} $$ -deformed 2D quantum field theories
Cavaglià, A., Negro, S., Szécsényi, I. M., & Tateo, R. (2016) · Journal of High Energy Physics · doi:10.1007/jhep10(2016)112 · Cited by 549
Hydrodynamic Diffusion in Integrable Systems
De Nardis, J., Bernard, D., & Doyon, B. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.160603 · Cited by 331
Generalized Hydrodynamics on an Atom Chip
Schemmer, M., Bouchoule, I., Doyon, B., & Dubail, J. (2019) · Physical Review Letters · doi:10.1103/physrevlett.122.090601 · Cited by 331
Thermodynamic Bethe ansatz for the AdS5× S5mirror model
Arutyunov, G., & Frolov, S. (2009) · Journal of High Energy Physics · doi:10.1088/1126-6708/2009/05/068 · Cited by 321
Metadata
- Authors
- Zamolodchikov, A. B.
- Venue
- Nuclear Physics B
- Publisher
- Elsevier BV
- Published
- 1990-10
- Volume
- 342
- Issue
- 3
- Pages
- 695-720
- ISSN
- 0550-3213 (ISSN-L)
- OpenAlex
- W2014881530
- Cited by
- 808
- References
- 0
- FWCI
- 29.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Thermodynamic Bethe ansatz in relativistic models: Scaling 3-state potts and Lee-Yang models. https://app.cochat.ai/papers/10.1016/0550-3213(90)90333-9
- The paper
- Zamolodchikov, A. B. (1990). Thermodynamic Bethe ansatz in relativistic models: Scaling 3-state potts and Lee-Yang models. Nuclear Physics B. https://doi.org/10.1016/0550-3213(90)90333-9
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.
