Probing Boundary Spins in the Su-Schrieffer-Heeger-Hubbard model: datasets

Numerical dataset corresponding to the manuscript "Probing Boundary Spins in the Su-Schrieffer-Heeger-Hubbard model", where we studied a 1D Su-Schrieffer-Heeger-Hubbard model at half filling. Data for the profiles of Sz and the spin gaps were obtained using the Density Matrix Renormalization Group (DMRG) method implemented through the ITENSOR library (M. Fishman, S. R. White, and E. M. Stoudenmire, The ITensor Software Library for Tensor Network Calculations, SciPost Phys. Codebases , 4 (2022)). Fig 2: Spin gap as a function of system size for t1 = 0.9 and several values of U. Fig 3a: Expectation value of the spin projection for each site for a Su Schrieffer Heeger chain of 20 sites Sz = 1, t1 = 0.9 and several values of U Fig 3b: Expectation value of the spin projection for each site for a Su Schrieffer Heeger chain of 70 sites Sz = 1, t1 = 0.9 and several values of U Fig 4: Datasets of V^2_j values calculated using Eq. (21) and 2 ⟨Sz_j ⟩ obtained from those in Fig. 3 (t1/t2 = 0.9 is the same for all datasets). Datasets 4(a)-(d) correspond to a chain of 20 sites for various values of U/t2. Dataset 4(e) correspond to a 70-site chain and U/t2 = 8. Fig 6: Spin gap as a function of system size for t1 = 0.7 and several values of U. Fig. 7: Expectation value of the spin projection for each site for a SSHC of 16 sites, Sz = 1, t1 = 0.7 and two values of U.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-19
DOI
https://doi.org/10.5281/zenodo.17290087
Primary Topic
scientometrics and bibliometrics research
Type
article
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article

Probing Boundary Spins in the Su-Schrieffer-Heeger-Hubbard model: datasets

Zenodo (CERN European Organization for Nuclear Research)
scientometrics and bibliometrics research
article

Probing Boundary Spins in the Su-Schrieffer-Heeger-Hubbard model: datasets

article en

Abstract

Numerical dataset corresponding to the manuscript "Probing Boundary Spins in the Su-Schrieffer-Heeger-Hubbard model", where we studied a 1D Su-Schrieffer-Heeger-Hubbard model at half filling. Data for the profiles of Sz and the spin gaps were obtained using the Density Matrix Renormalization Group (DMRG) method implemented through the ITENSOR library (M. Fishman, S. R. White, and E. M. Stoudenmire, The ITensor Software Library for Tensor Network Calculations, SciPost Phys. Codebases , 4 (2022)). Fig 2: Spin gap as a function of system size for t1 = 0.9 and several values of U. Fig 3a: Expectation value of the spin projection for each site for a Su Schrieffer Heeger chain of 20 sites Sz = 1, t1 = 0.9 and several values of U Fig 3b: Expectation value of the spin projection for each site for a Su Schrieffer Heeger chain of 70 sites Sz = 1, t1 = 0.9 and several values of U Fig 4: Datasets of V^2_j values calculated using Eq. (21) and 2 ⟨Sz_j ⟩ obtained from those in Fig. 3 (t1/t2 = 0.9 is the same for all datasets). Datasets 4(a)-(d) correspond to a chain of 20 sites for various values of U/t2. Dataset 4(e) correspond to a 70-site chain and U/t2 = 8. Fig 6: Spin gap as a function of system size for t1 = 0.7 and several values of U. Fig. 7: Expectation value of the spin projection for each site for a SSHC of 16 sites, Sz = 1, t1 = 0.7 and two values of U.

Zenodo (CERN European Organization for Nuclear Research)
Université Libre de Bruxelles (BE), Universidad Nacional de Cuyo (AR), Balseiro Institute (AR), Bariloche Atomic Centre (AR), National University of Rosario (AR), Instituto Interdisciplinario de Ciencias Básicas (AR), Institut Català de Nanociència i Nanotecnologia (ES), Institute of Physics Rosario (AR), International Solvay Institutes (BE)
Openalex Percentile: Top 44%
scientometrics and bibliometrics research
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