Non-Abelian SU(3)k anyons: Inversion identities for higher rank face models

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  • Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association
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Original languageEnglish
Article number484001
JournalJournal of Physics A: Mathematical and Theoretical
Volume48
Issue number48
Publication statusPublished - 29 Oct 2015

Keywords

    integrable models, IRF models, transfer matrix identities

ASJC Scopus subject areas

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Non-Abelian SU(3)k anyons: Inversion identities for higher rank face models. / Frahm, Holger; Karaiskos, Nikos.
In: Journal of Physics A: Mathematical and Theoretical, Vol. 48, No. 48, 484001, 29.10.2015.

Research output: Contribution to journal › Article › Research › peer review

Frahm, H & Karaiskos, N 2015, 'Non-Abelian SU(3)k anyons: Inversion identities for higher rank face models', Journal of Physics A: Mathematical and Theoretical, vol. 48, no. 48, 484001. https://doi.org/10.1088/1751-8113/48/48/484001
Frahm, H., & Karaiskos, N. (2015). Non-Abelian SU(3)k anyons: Inversion identities for higher rank face models. Journal of Physics A: Mathematical and Theoretical, 48(48), Article 484001. https://doi.org/10.1088/1751-8113/48/48/484001
Frahm H, Karaiskos N. Non-Abelian SU(3)k anyons: Inversion identities for higher rank face models. Journal of Physics A: Mathematical and Theoretical. 2015 Oct 29;48(48):484001. doi: 10.1088/1751-8113/48/48/484001
Frahm, Holger ; Karaiskos, Nikos. / Non-Abelian SU(3)k anyons : Inversion identities for higher rank face models. In: Journal of Physics A: Mathematical and Theoretical. 2015 ; Vol. 48, No. 48.
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author = "Holger Frahm and Nikos Karaiskos",
note = "Funding information: This work was supported by the Singapore National Research Foundation (NRF) Fellowship (Class of 2017) and the National University of Singapore Yong Loo Lin School of Medicine (NUHSRO/2020/124/TMR/LOA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not reflect the views of the National Research Foundation, Singapore. Our computational work was partially performed on resources of the National Supercomputing Centre, Singapore (https://www.nscc.sg). This work was also supported by Kent and Liz Dauten, NIH Grants R01MH124004, P50MH106435, R00MH117226, and Shared Instrumentation Grant S10OD020039. For L. M. DiNicola, this material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE1745303. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.",
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